From cc87cf0f26e3c404d685baa9612f433200c54dc3 Mon Sep 17 00:00:00 2001
From: harold <hparks@nrc.ca>
Date: Sat, 26 Sep 2020 01:03:41 -0400
Subject: [PATCH] edit to setup.py

---
 .DS_Store                                     |  Bin 6148 -> 10244 bytes
 dist/.DS_Store                                |  Bin 6148 -> 6148 bytes
 dist/metrolopy-0.5.6.tar.gz                   |  Bin 131872 -> 0 bytes
 dist/metrolopy-0.5.6.zip                      |  Bin 150882 -> 0 bytes
 ...y.whl => metrolopy-0.5.7-py3-none-any.whl} |  Bin 159634 -> 159639 bytes
 dist/metrolopy-0.5.7.tar.gz                   |  Bin 0 -> 131873 bytes
 docs/_build/doctrees/environment.pickle       |  Bin 116217 -> 49142 bytes
 docs/_build/doctrees/index.doctree            |  Bin 35333 -> 35641 bytes
 docs/_build/doctrees/metrolopy.doctree        |  Bin 1463655 -> 10238 bytes
 docs/_build/doctrees/metrolopy.tests.doctree  |  Bin 5733 -> 3422 bytes
 docs/_build/html/_sources/index.rst.txt       |    3 +-
 docs/_build/html/_static/pygments.css         |    7 +-
 docs/_build/html/genindex.html                | 1491 +---
 docs/_build/html/hand_made_doc.html           |    6 +-
 docs/_build/html/index.html                   |    7 +-
 docs/_build/html/metrolopy.html               | 6071 +----------------
 docs/_build/html/metrolopy.tests.html         |   17 +-
 docs/_build/html/modules.html                 |   52 +-
 docs/_build/html/objects.inv                  |  Bin 3625 -> 764 bytes
 docs/_build/html/py-modindex.html             |  121 +-
 docs/_build/html/search.html                  |    6 +-
 docs/_build/html/searchindex.js               |    2 +-
 docs/_build/html/todo.html                    |    6 +-
 docs/index.rst                                |    3 +-
 metrolopy/version.py                          |    2 +-
 setup.py                                      |    3 +-
 26 files changed, 138 insertions(+), 7659 deletions(-)
 delete mode 100644 dist/metrolopy-0.5.6.tar.gz
 delete mode 100644 dist/metrolopy-0.5.6.zip
 rename dist/{metrolopy-0.5.6-py3-none-any.whl => metrolopy-0.5.7-py3-none-any.whl} (96%)
 create mode 100644 dist/metrolopy-0.5.7.tar.gz

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diff --git a/dist/metrolopy-0.5.6-py3-none-any.whl b/dist/metrolopy-0.5.7-py3-none-any.whl
similarity index 96%
rename from dist/metrolopy-0.5.6-py3-none-any.whl
rename to dist/metrolopy-0.5.7-py3-none-any.whl
index 3f80c802c9a969643e1f916da8d1dcee5230878b..c2d704bb6f2dece95b93e42c125e1207666a3a07 100644
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index 75156878cd8f85f6e3da8f1b3c7bc49eb6f87f6c..dd6cdd617402e0ff212f83bbd930ad99fb72029a 100644
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diff --git a/docs/_build/doctrees/index.doctree b/docs/_build/doctrees/index.doctree
index a536132cba93ffcb4a5f4f22692381579f6560f8..9d20fe82902f477309ddb6d92e1ce488a4a13f04 100644
GIT binary patch
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diff --git a/docs/_build/doctrees/metrolopy.doctree b/docs/_build/doctrees/metrolopy.doctree
index 68eb0ca3879c6f298d5899654d19ef18486b7bad..639a07d98a0545f82c0828dbdcf10ac5d4821d24 100644
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diff --git a/docs/_build/html/_sources/index.rst.txt b/docs/_build/html/_sources/index.rst.txt
index 4422d40..a5f2f2d 100644
--- a/docs/_build/html/_sources/index.rst.txt
+++ b/docs/_build/html/_sources/index.rst.txt
@@ -127,7 +127,8 @@ version history
 * Version 0.5.3, built 10 April 2019, minor bug fixes.
 * Version 0.5.4, built 15 April 2019, minor bug fixes.
 * Version 0.5.5, built 7 May 2020, minor bug fixes.
-* Version 0.5.6, built 24 September 2020, minor bug fixes.
+* Version 0.5.6, built 24 September 2020, minor bug fixes.
+* Version 0.5.7, built 26 September 2020, minor change to setup.py.
 
 
 author
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index 20c4814..d14395e 100644
--- a/docs/_build/html/_static/pygments.css
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 .highlight .c { color: #408090; font-style: italic } /* Comment */
 .highlight .err { border: 1px solid #FF0000 } /* Error */
 .highlight .k { color: #007020; font-weight: bold } /* Keyword */
diff --git a/docs/_build/html/genindex.html b/docs/_build/html/genindex.html
index af851e3..27c707f 100644
--- a/docs/_build/html/genindex.html
+++ b/docs/_build/html/genindex.html
@@ -5,7 +5,7 @@
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta charset="utf-8" />
-    <title>Index &#8212; metrolopy 0.5.6 documentation</title>
+    <title>Index &#8212; metrolopy 0.5.7 documentation</title>
     <link rel="stylesheet" href="_static/nature.css" type="text/css" />
     <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
     <script id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
@@ -25,7 +25,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>  
 
@@ -38,1495 +38,18 @@ <h3>Navigation</h3>
 <h1 id="index">Index</h1>
 
 <div class="genindex-jumpbox">
- <a href="#A"><strong>A</strong></a>
- | <a href="#B"><strong>B</strong></a>
- | <a href="#C"><strong>C</strong></a>
- | <a href="#D"><strong>D</strong></a>
- | <a href="#E"><strong>E</strong></a>
- | <a href="#F"><strong>F</strong></a>
- | <a href="#G"><strong>G</strong></a>
- | <a href="#H"><strong>H</strong></a>
- | <a href="#I"><strong>I</strong></a>
- | <a href="#J"><strong>J</strong></a>
- | <a href="#K"><strong>K</strong></a>
- | <a href="#L"><strong>L</strong></a>
- | <a href="#M"><strong>M</strong></a>
- | <a href="#N"><strong>N</strong></a>
- | <a href="#O"><strong>O</strong></a>
- | <a href="#P"><strong>P</strong></a>
- | <a href="#R"><strong>R</strong></a>
- | <a href="#S"><strong>S</strong></a>
- | <a href="#T"><strong>T</strong></a>
- | <a href="#U"><strong>U</strong></a>
- | <a href="#W"><strong>W</strong></a>
- | <a href="#X"><strong>X</strong></a>
- | <a href="#Y"><strong>Y</strong></a>
- | <a href="#Z"><strong>Z</strong></a>
+ <a href="#M"><strong>M</strong></a>
  
 </div>
-<h2 id="A">A</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.functions.absolute">absolute() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.add">add() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unit.Unit.alias">alias() (metrolopy.unit.Unit static method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unit.Unit.aliases">aliases() (metrolopy.unit.Unit property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.angle">angle() (in module metrolopy.functions)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.jummy.angle">(metrolopy.gummy.jummy method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.ummy.ummy.angle">(metrolopy.ummy.ummy method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.dfunc.Dfunc.apply">apply() (metrolopy.dfunc.Dfunc class method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.distributions.Distribution.apply">(metrolopy.distributions.Distribution static method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.functions.arccos">arccos() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.arccosh">arccosh() (in module metrolopy.functions)</a>
-</li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.functions.arcsin">arcsin() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.ArcSinDist">ArcSinDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.arcsinh">arcsinh() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.arctan">arctan() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.arctan2">arctan2() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.arctanh">arctanh() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.around">around() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.ascii">ascii() (metrolopy.gummy.gummy method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.ascii">(metrolopy.printing.PrettyPrinter method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.autoconvert">autoconvert (metrolopy.gummy.gummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.mean.autocorrelation">autocorrelation() (in module metrolopy.mean)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="B">B</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.bayesian">bayesian (metrolopy.nummy.nummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.MetaNummy.bayesian">bayesian() (metrolopy.nummy.MetaNummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.TDist.bayesian_default">bayesian_default (metrolopy.distributions.TDist attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.prefixedunit.BinaryPrefixedUnit">BinaryPrefixedUnit (class in metrolopy.prefixedunit)</a>
-</li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.distributions.BinomialDist">BinomialDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.break_on_printing_error">break_on_printing_error (metrolopy.printing.PrettyPrinter attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget">Budget (class in metrolopy.budget)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.budget">budget() (metrolopy.gummy.gummy method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.exceptions.BudgetWarning">BudgetWarning</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="C">C</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.c">c() (metrolopy.gummy.gummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.cbrt">cbrt() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.pmethod.ccp_from_k">ccp_from_k() (in module metrolopy.pmethod)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.ceil">ceil() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nonlinearunit.NonlinearConversion.chain">chain() (metrolopy.nonlinearunit.NonlinearConversion method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.nonlinearunit.ReciprocalConversion.chain">(metrolopy.nonlinearunit.ReciprocalConversion method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.unit.Conversion.chain">(metrolopy.unit.Conversion method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.ci">ci() (metrolopy.distributions.Distribution method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.cimethod">cimethod (metrolopy.nummy.nummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.MetaNummy.cimethod">cimethod() (metrolopy.nummy.MetaNummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.exceptions.CircularUnitConversionError">CircularUnitConversionError</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.cisim">cisim() (metrolopy.gummy.gummy property)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.nummy.nummy.cisim">(metrolopy.nummy.nummy property)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.cisym">cisym() (metrolopy.distributions.Distribution method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.clear">clear() (metrolopy.distributions.Distribution method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultivariateDistribution.clear">(metrolopy.distributions.MultivariateDistribution method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultivariateElement.clear">(metrolopy.distributions.MultivariateElement method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.gummy.MetaGummy.cmp_k">cmp_k() (metrolopy.gummy.MetaGummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.MetaGummy.cmp_p">cmp_p() (metrolopy.gummy.MetaGummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.column_names">column_names() (metrolopy.budget.Budget property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.columns">columns() (metrolopy.budget.Budget property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.conj">conj() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.jummy.conjugate">conjugate() (metrolopy.gummy.jummy method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.ummy.ummy.conjugate">(metrolopy.ummy.ummy method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.pmethod.conservative_coverage_probability">conservative_coverage_probability() (in module metrolopy.pmethod)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.const">const() (metrolopy.ummy.ummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unit.Conversion">Conversion (class in metrolopy.unit)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unit.Unit.conversion">conversion() (metrolopy.unit.Unit property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unitutils.convert">convert() (in module metrolopy.unitutils)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.convert">(metrolopy.gummy.gummy method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.unit.Unit.convert">(metrolopy.unit.Unit method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Convolution">Convolution (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.jummy.copy">copy() (metrolopy.gummy.jummy method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.logunit.LogConversion.copy">(metrolopy.logunit.LogConversion method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.nonlinearunit.NonlinearConversion.copy">(metrolopy.nonlinearunit.NonlinearConversion method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.nonlinearunit.ReciprocalConversion.copy">(metrolopy.nonlinearunit.ReciprocalConversion method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.offsetunit.OffsetConversion.copy">(metrolopy.offsetunit.OffsetConversion method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.ummy.ummy.copy">(metrolopy.ummy.ummy method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.unit.Conversion.copy">(metrolopy.unit.Conversion method)</a>
-</li>
-      </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.correlation">correlation() (metrolopy.ummy.ummy method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.correlation_matrix">correlation_matrix() (metrolopy.ummy.ummy static method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.correlation_matrix_sim">correlation_matrix_sim() (metrolopy.nummy.nummy static method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.correlation_sim">correlation_sim() (metrolopy.nummy.nummy method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.cos">cos() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.cosh">cosh() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.count">count (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.count">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.count">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.count">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.cov">cov (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.cov">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.cov">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.cov">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.distributions.MultiNormalDist.cov">cov() (metrolopy.distributions.MultiNormalDist property)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultiTDist.cov">(metrolopy.distributions.MultiTDist property)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultivariateDistribution.cov">(metrolopy.distributions.MultivariateDistribution property)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultivariateElement.cov">(metrolopy.distributions.MultivariateElement method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.gummy.jummy.cov">(metrolopy.gummy.jummy property)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.covariance">covariance() (metrolopy.ummy.ummy method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.covariance_matrix">covariance_matrix() (metrolopy.ummy.ummy static method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.covariance_matrix_sim">covariance_matrix_sim() (metrolopy.nummy.nummy static method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.covariance_sim">covariance_sim() (metrolopy.nummy.nummy method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.pmethod.coverage_factor">coverage_factor() (in module metrolopy.pmethod)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.pmethod.coverage_probability">coverage_probability() (in module metrolopy.pmethod)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.covplot">covplot() (metrolopy.distributions.Distribution static method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.covplot">(metrolopy.gummy.gummy class method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.nummy.nummy.covplot">(metrolopy.nummy.nummy static method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.covsim">covsim() (metrolopy.distributions.Distribution method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.covsim_matrix">covsim_matrix() (metrolopy.distributions.Distribution static method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.pmethod.cp_from_k">cp_from_k() (in module metrolopy.pmethod)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.create">create() (metrolopy.gummy.gummy class method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.nummy.nummy.create">(metrolopy.nummy.nummy class method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.ummy.ummy.create">(metrolopy.ummy.ummy class method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.functions.cross">cross() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.cumprod">cumprod() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.cumsum">cumsum() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.CurvlinearTrapDist">CurvlinearTrapDist (class in metrolopy.distributions)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="D">D</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.default_column_names">default_column_names (metrolopy.budget.Budget attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.default_columns">default_columns (metrolopy.budget.Budget attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.default_css">default_css (metrolopy.budget.Budget attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.mean.delta_diff">delta_diff() (in module metrolopy.mean)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.mean.delta_diff_mean">delta_diff_mean() (in module metrolopy.mean)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.mean.delta_sum">delta_sum() (in module metrolopy.mean)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.mean.delta_sum_mean">delta_sum_mean() (in module metrolopy.mean)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.df">df() (metrolopy.budget.Budget property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.df_html">df_html() (metrolopy.budget.Budget property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.df_latex">df_latex() (metrolopy.budget.Budget property)</a>
-</li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.df_str">df_str() (metrolopy.budget.Budget property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.dfunc.Dfunc">Dfunc (class in metrolopy.dfunc)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.diff">diff() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution">Distribution (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.distribution">distribution() (metrolopy.nummy.nummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.divide">divide() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.divmod">divmod() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.dof">dof() (metrolopy.nummy.nummy property)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.ummy.ummy.dof">(metrolopy.ummy.ummy property)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.doffrom">doffrom() (metrolopy.ummy.ummy method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit">DoubleExpFit (class in metrolopy.fit)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="E">E</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.functions.ediff1d">ediff1d() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.exception_on_fmt_error">exception_on_fmt_error (metrolopy.gummy.gummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.exp">exp() (in module metrolopy.functions)</a>
-</li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.functions.exp2">exp2() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.ExpFit">ExpFit (class in metrolopy.fit)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.expm1">expm1() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.ExponentialDist">ExponentialDist (class in metrolopy.distributions)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="F">F</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.f">f() (metrolopy.fit.DoubleExpFit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.f">(metrolopy.fit.ExpFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.Fit.f">(metrolopy.fit.Fit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.f">(metrolopy.fit.OneOverTFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.PolyFit.f">(metrolopy.fit.PolyFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.f">(metrolopy.fit.SinFit method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.fhtml">fhtml() (metrolopy.fit.DoubleExpFit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.fhtml">(metrolopy.fit.ExpFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.Fit.fhtml">(metrolopy.fit.Fit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.fhtml">(metrolopy.fit.OneOverTFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.PolyFit.fhtml">(metrolopy.fit.PolyFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.fhtml">(metrolopy.fit.SinFit method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.finfo">finfo() (metrolopy.ummy.ummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.Fit">Fit (class in metrolopy.fit)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.fit_output">fit_output (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.fit_output">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.fit_output">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.fit_output">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.exceptions.FitWarning">FitWarning</a>
-</li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.functions.fix">fix() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.flatex">flatex() (metrolopy.fit.DoubleExpFit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.flatex">(metrolopy.fit.ExpFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.Fit.flatex">(metrolopy.fit.Fit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.flatex">(metrolopy.fit.OneOverTFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.PolyFit.flatex">(metrolopy.fit.PolyFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.flatex">(metrolopy.fit.SinFit method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.functions.floor">floor() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.floor_divide">floor_divide() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unit.Unit.format_latex">format_latex() (metrolopy.unit.Unit static method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nonlinearunit.ReciprocalConversion.frm">frm() (metrolopy.nonlinearunit.ReciprocalConversion method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.unit.Conversion.frm">(metrolopy.unit.Conversion method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.nonlinearunit.NonlinearUnit.from_uunit">from_uunit() (metrolopy.nonlinearunit.NonlinearUnit method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.funicode">funicode() (metrolopy.fit.DoubleExpFit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.funicode">(metrolopy.fit.ExpFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.Fit.funicode">(metrolopy.fit.Fit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.funicode">(metrolopy.fit.OneOverTFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.PolyFit.funicode">(metrolopy.fit.PolyFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.funicode">(metrolopy.fit.SinFit method)</a>
-</li>
-      </ul></li>
-  </ul></td>
-</tr></table>
-
-<h2 id="G">G</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.distributions.GammaDist">GammaDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.logunit.LogUnit.get_composite">get_composite() (metrolopy.logunit.LogUnit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.nonlinearunit.NonlinearUnit.get_composite">(metrolopy.nonlinearunit.NonlinearUnit method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.get_p0">get_p0() (metrolopy.fit.DoubleExpFit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.get_p0">(metrolopy.fit.ExpFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.Fit.get_p0">(metrolopy.fit.Fit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.get_p0">(metrolopy.fit.OneOverTFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.PolyFit.get_p0">(metrolopy.fit.PolyFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.get_p0">(metrolopy.fit.SinFit method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.get_punits">get_punits() (metrolopy.fit.DoubleExpFit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.get_punits">(metrolopy.fit.ExpFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.Fit.get_punits">(metrolopy.fit.Fit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.get_punits">(metrolopy.fit.OneOverTFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.PolyFit.get_punits">(metrolopy.fit.PolyFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.get_punits">(metrolopy.fit.SinFit method)</a>
-</li>
-      </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.ummy.GummyTag.get_values">get_values() (metrolopy.ummy.GummyTag method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.gradient">gradient() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.graft">graft() (metrolopy.gummy.gummy method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy">gummy (class in metrolopy.gummy)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.ummy.GummyTag">GummyTag (class in metrolopy.ummy)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.exceptions.GummyWarning">GummyWarning</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="H">H</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.functions.heaviside">heaviside() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.hist">hist() (metrolopy.distributions.Distribution method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.hist">(metrolopy.gummy.gummy method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.nummy.nummy.hist">(metrolopy.nummy.nummy method)</a>
-</li>
-      </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.fit.Fit.html">html() (metrolopy.fit.Fit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.html">(metrolopy.gummy.gummy method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.html">(metrolopy.printing.PrettyPrinter method)</a>
-</li>
-      </ul></li>
-  </ul></td>
-</tr></table>
-
-<h2 id="I">I</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.functions.imag">imag() (in module metrolopy.functions)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.imag">(metrolopy.gummy.gummy property)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.gummy.jummy.imag">(metrolopy.gummy.jummy property)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.ummy.ummy.imag">(metrolopy.ummy.ummy property)</a>
-</li>
-      </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.exceptions.IncompatibleUnitsError">IncompatibleUnitsError</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.independent">independent() (metrolopy.nummy.nummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unit.Unit.is_dimensionless">is_dimensionless() (metrolopy.unit.Unit property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Convolution.isindependent">isindependent (metrolopy.distributions.Convolution attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.distributions.Distribution.isindependent">(metrolopy.distributions.Distribution attribute)</a>, <a href="metrolopy.html#metrolopy.distributions.Distribution.isindependent">[1]</a>
-</li>
-      </ul></li>
-  </ul></td>
-</tr></table>
-
-<h2 id="J">J</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.jac">jac() (metrolopy.fit.DoubleExpFit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.jac">(metrolopy.fit.ExpFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.Fit.jac">(metrolopy.fit.Fit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.jac">(metrolopy.fit.OneOverTFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.PolyFit.jac">(metrolopy.fit.PolyFit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.jac">(metrolopy.fit.SinFit method)</a>
-</li>
-      </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.gummy.jummy">jummy (class in metrolopy.gummy)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="K">K</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.k">k() (metrolopy.budget.Budget property)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.k">(metrolopy.gummy.gummy property)</a>
-</li>
-      </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.ksim">ksim() (metrolopy.nummy.nummy property)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="L">L</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.distributions.LaplaceDist">LaplaceDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.Fit.latex">latex() (metrolopy.fit.Fit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.latex">(metrolopy.gummy.gummy method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.latex">(metrolopy.printing.PrettyPrinter method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.fit.Fit.latex_math">latex_math (metrolopy.fit.Fit attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.latex_math">latex_math() (metrolopy.printing.PrettyPrinter method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.latex_math_plot">latex_math_plot() (metrolopy.printing.PrettyPrinter method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.latex_norm">latex_norm() (metrolopy.printing.PrettyPrinter method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.latex_norm_plot">latex_norm_plot() (metrolopy.printing.PrettyPrinter method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nonlinearunit.NonlinearConversion.linear">linear (metrolopy.nonlinearunit.NonlinearConversion attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.nonlinearunit.NonlinearUnit.linear">(metrolopy.nonlinearunit.NonlinearUnit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.unit.Conversion.linear">(metrolopy.unit.Conversion attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.unit.Unit.linear">(metrolopy.unit.Unit attribute)</a>
-</li>
-      </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.unit.Unit.load">load() (metrolopy.unit.Unit static method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.pmethod.loc_from_k">loc_from_k() (in module metrolopy.pmethod)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.log">log() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.log10">log10() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.log1p">log1p() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.log2">log2() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.logaddexp">logaddexp() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.logaddexp2">logaddexp2() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.logunit.LogConversion">LogConversion (class in metrolopy.logunit)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.LogNormalDist">LogNormalDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.logunit.LogUnit">LogUnit (class in metrolopy.logunit)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="M">M</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.max_digits">max_digits (metrolopy.ummy.ummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.max_dof">max_dof (metrolopy.ummy.ummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.MetaNummy.mcpropagate">mcpropagate() (metrolopy.nummy.MetaNummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.mean.mean">mean() (in module metrolopy.mean)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.distributions.Distribution.mean">(metrolopy.distributions.Distribution property)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.mean.mean_datetime">mean_datetime() (in module metrolopy.mean)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.MetaGummy">MetaGummy (class in metrolopy.gummy)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.MetaNummy">MetaNummy (class in metrolopy.nummy)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.MetaPrettyPrinter">MetaPrettyPrinter (class in metrolopy.printing)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy">metrolopy (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.budget">metrolopy.budget (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.dfunc">metrolopy.dfunc (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.distributions">metrolopy.distributions (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.exceptions">metrolopy.exceptions (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.fit">metrolopy.fit (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.functions">metrolopy.functions (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.gummy">metrolopy.gummy (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.logunit">metrolopy.logunit (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.mean">metrolopy.mean (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.nonlinearunit">metrolopy.nonlinearunit (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.nummy">metrolopy.nummy (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.offsetunit">metrolopy.offsetunit (module)</a>
-</li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#module-metrolopy.pmethod">metrolopy.pmethod (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.prefixedunit">metrolopy.prefixedunit (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.printing">metrolopy.printing (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.relunits">metrolopy.relunits (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.siunits">metrolopy.siunits (module)</a>
-</li>
-      <li><a href="metrolopy.tests.html#module-metrolopy.tests">metrolopy.tests (module)</a>
-</li>
-      <li><a href="metrolopy.tests.html#module-metrolopy.tests.test_create">metrolopy.tests.test_create (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.ummy">metrolopy.ummy (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.unit">metrolopy.unit (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.unitutils">metrolopy.unitutils (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.usunits">metrolopy.usunits (module)</a>
-</li>
-      <li><a href="metrolopy.html#module-metrolopy.version">metrolopy.version (module)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.ummy.MFraction">MFraction (class in metrolopy.ummy)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.mod">mod() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.modf">modf() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.mulsep">mulsep (metrolopy.gummy.gummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.MultiNormalDist">MultiNormalDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.multiply">multiply() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.MultiTDist">MultiTDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.MultiTElement">MultiTElement (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.MultivariateDistribution">MultivariateDistribution (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.MultivariateElement">MultivariateElement (class in metrolopy.distributions)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="N">N</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.mean.n_eff">n_eff() (in module metrolopy.mean)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.dfunc.Dfunc.napply">napply() (metrolopy.dfunc.Dfunc class method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.negative">negative() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nonlinearunit.NonlinearConversion">NonlinearConversion (class in metrolopy.nonlinearunit)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nonlinearunit.NonlinearUnit">NonlinearUnit (class in metrolopy.nonlinearunit)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.NormalDist">NormalDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.exceptions.NoSimulatedDataError">NoSimulatedDataError</a>
-</li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.exceptions.NoUnitConversionFoundError">NoUnitConversionFoundError</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.nparam">nparam (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.nparam">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.nparam">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.nparam">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.nsig">nsig (metrolopy.ummy.ummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy">nummy (class in metrolopy.nummy)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="O">O</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.offsetunit.OffsetConversion">OffsetConversion (class in metrolopy.offsetunit)</a>
-</li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.offsetunit.OffsetUnit">OffsetUnit (class in metrolopy.offsetunit)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit">OneOverTFit (class in metrolopy.fit)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="P">P</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.p">p (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.p">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.p">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.p">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.p">p() (metrolopy.budget.Budget property)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.p">(metrolopy.gummy.gummy property)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.nummy.nummy.p">(metrolopy.nummy.nummy property)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.p0">p0 (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.p0">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.p0">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.p0">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.gummy.MetaGummy.p_method">p_method() (metrolopy.gummy.MetaGummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.pf">pf (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.pf">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.pf">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.pf">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.distributions.PoissonDist">PoissonDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.PolyFit">PolyFit (class in metrolopy.fit)</a>
-</li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.nonlinearunit.NonlinearConversion.pow">pow() (metrolopy.nonlinearunit.NonlinearConversion method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.unit.Conversion.pow">(metrolopy.unit.Conversion method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.functions.power">power() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.prefixedunit.BinaryPrefixedUnit.prefix_definitions">prefix_definitions (metrolopy.prefixedunit.BinaryPrefixedUnit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.prefixedunit.PrefixedUnit.prefix_definitions">(metrolopy.prefixedunit.PrefixedUnit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.prefixedunit.PrefixedUnit">PrefixedUnit (class in metrolopy.prefixedunit)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter">PrettyPrinter (class in metrolopy.printing)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.print_html">print_html() (in module metrolopy.printing)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.print_latex">print_latex() (in module metrolopy.printing)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.print_markdown">print_markdown() (in module metrolopy.printing)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.printer">printer (metrolopy.printing.PrettyPrinter attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.MetaPrettyPrinter.printer">printer() (metrolopy.printing.MetaPrettyPrinter property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.prod">prod() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.Fit.ptostring">ptostring() (metrolopy.fit.Fit method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.punits">punits (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.punits">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.punits">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.punits">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-  </ul></td>
-</tr></table>
-
-<h2 id="R">R</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.distributions.ArcSinDist.random">random() (metrolopy.distributions.ArcSinDist method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.distributions.BinomialDist.random">(metrolopy.distributions.BinomialDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.Convolution.random">(metrolopy.distributions.Convolution method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.CurvlinearTrapDist.random">(metrolopy.distributions.CurvlinearTrapDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.Distribution.random">(metrolopy.distributions.Distribution method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.ExponentialDist.random">(metrolopy.distributions.ExponentialDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.GammaDist.random">(metrolopy.distributions.GammaDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.LaplaceDist.random">(metrolopy.distributions.LaplaceDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.LogNormalDist.random">(metrolopy.distributions.LogNormalDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultivariateElement.random">(metrolopy.distributions.MultivariateElement method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.NormalDist.random">(metrolopy.distributions.NormalDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.PoissonDist.random">(metrolopy.distributions.PoissonDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.TDist.random">(metrolopy.distributions.TDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.TrapezoidalDist.random">(metrolopy.distributions.TrapezoidalDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.TriangularDist.random">(metrolopy.distributions.TriangularDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.UniformDist.random">(metrolopy.distributions.UniformDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.WeibullDist.random">(metrolopy.distributions.WeibullDist method)</a>
-</li>
-      </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.random_state">random_state() (metrolopy.distributions.Distribution static method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.relunits.RatioUnit">RatioUnit (class in metrolopy.relunits)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nonlinearunit.NonlinearConversion.rchain">rchain() (metrolopy.nonlinearunit.NonlinearConversion method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.real">real() (in module metrolopy.functions)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.jummy.real">(metrolopy.gummy.jummy property)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.ummy.ummy.real">(metrolopy.ummy.ummy property)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.functions.reciprocal">reciprocal() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nonlinearunit.ReciprocalConversion">ReciprocalConversion (class in metrolopy.nonlinearunit)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.reduce_unit">reduce_unit() (metrolopy.gummy.gummy method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.remainder">remainder() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unit.Unit.reorder">reorder() (metrolopy.unit.Unit static method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.res">res (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.res">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.res">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.res">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.functions.rint">rint() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.rounding_u">rounding_u (metrolopy.ummy.ummy attribute)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="S">S</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.s">s (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.s">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.s">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.s">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.sci_notation">sci_notation (metrolopy.ummy.ummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.sci_notation_high">sci_notation_high (metrolopy.ummy.ummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.sci_notation_low">sci_notation_low (metrolopy.ummy.ummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unitutils.search_units">search_units() (in module metrolopy.unitutils)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.printing.set_printer">set_printer() (in module metrolopy.printing)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.set_seed">set_seed() (metrolopy.distributions.Distribution static method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.nummy.nummy.set_seed">(metrolopy.nummy.nummy static method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.ummy.GummyTag.set_tag">set_tag() (metrolopy.ummy.GummyTag static method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unit.Unit.shadowed_aliases">shadowed_aliases() (metrolopy.unit.Unit property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unitutils.shadowed_units">shadowed_units() (in module metrolopy.unitutils)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.show_c">show_c (metrolopy.budget.Budget attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.show_d">show_d (metrolopy.budget.Budget attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.show_dof">show_dof (metrolopy.gummy.gummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.show_k">show_k (metrolopy.gummy.gummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.show_name">show_name (metrolopy.gummy.gummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.show_p">show_p (metrolopy.gummy.gummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.show_s">show_s (metrolopy.budget.Budget attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.mean.sigma_trim">sigma_trim() (in module metrolopy.mean)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.sign">sign() (in module metrolopy.functions)</a>
-</li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.sim">sim() (metrolopy.gummy.gummy method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.simdata">simdata (metrolopy.distributions.Distribution attribute)</a>, <a href="metrolopy.html#metrolopy.distributions.Distribution.simdata">[1]</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.simdata">simdata() (metrolopy.nummy.nummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.simsorted">simsorted() (metrolopy.distributions.Distribution property)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.nummy.nummy.simsorted">(metrolopy.nummy.nummy property)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.simulate">simulate() (metrolopy.distributions.Distribution static method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.simulate">(metrolopy.gummy.gummy static method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.nummy.nummy.simulate">(metrolopy.nummy.nummy static method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.functions.sin">sin() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.SinFit">SinFit (class in metrolopy.fit)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.sinh">sinh() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.slashaxis">slashaxis (metrolopy.gummy.gummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.solidus">solidus (metrolopy.gummy.gummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.solver">solver (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.solver">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.solver">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.solver">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.functions.sqrt">sqrt() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.square">square() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.Distribution.stdev">stdev() (metrolopy.distributions.Distribution property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.style">style (metrolopy.gummy.gummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.MetaGummy.style">style() (metrolopy.gummy.MetaGummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.subtract">subtract() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.sum">sum() (in module metrolopy.functions)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="T">T</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.ummy.GummyTag.tags">tags (metrolopy.ummy.GummyTag attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.tan">tan() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.tanh">tanh() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.TDist">TDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.tests.html#metrolopy.tests.test_create.test_gummy_init">test_gummy_init() (in module metrolopy.tests.test_create)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.thousand_spaces">thousand_spaces (metrolopy.ummy.ummy attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nonlinearunit.ReciprocalConversion.to">to() (metrolopy.nonlinearunit.ReciprocalConversion method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.unit.Conversion.to">(metrolopy.unit.Conversion method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.nonlinearunit.NonlinearUnit.to_uunit">to_uunit() (metrolopy.nonlinearunit.NonlinearUnit method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.Fit.toascii">toascii() (metrolopy.fit.Fit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.toascii">(metrolopy.gummy.gummy method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.toascii">(metrolopy.printing.PrettyPrinter method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.dfunc.Dfunc.tofloat">tofloat() (metrolopy.dfunc.Dfunc method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.jummy.tofloat">(metrolopy.gummy.jummy method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.ummy.ummy.tofloat">(metrolopy.ummy.ummy method)</a>
-</li>
-      </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.fit.Fit.tohtml">tohtml() (metrolopy.fit.Fit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.tohtml">(metrolopy.gummy.gummy method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.tohtml">(metrolopy.printing.PrettyPrinter method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.fit.Fit.tolatex">tolatex() (metrolopy.fit.Fit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.tolatex">(metrolopy.gummy.gummy method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.tolatex">(metrolopy.printing.PrettyPrinter method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.tostring">tostring() (metrolopy.budget.Budget method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.Fit.tostring">(metrolopy.fit.Fit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.tostring">(metrolopy.gummy.gummy method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.gummy.jummy.tostring">(metrolopy.gummy.jummy method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.unit.Unit.tostring">(metrolopy.unit.Unit method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.tounicode">tounicode() (metrolopy.printing.PrettyPrinter method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.TrapezoidalDist">TrapezoidalDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.distributions.TriangularDist">TriangularDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.true_divide">true_divide() (in module metrolopy.functions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.functions.trunc">trunc() (in module metrolopy.functions)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="U">U</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.distributions.ArcSinDist.u">u() (metrolopy.distributions.ArcSinDist method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.distributions.BinomialDist.u">(metrolopy.distributions.BinomialDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.CurvlinearTrapDist.u">(metrolopy.distributions.CurvlinearTrapDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.Distribution.u">(metrolopy.distributions.Distribution method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.ExponentialDist.u">(metrolopy.distributions.ExponentialDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.GammaDist.u">(metrolopy.distributions.GammaDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.LaplaceDist.u">(metrolopy.distributions.LaplaceDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.LogNormalDist.u">(metrolopy.distributions.LogNormalDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultiNormalDist.u">(metrolopy.distributions.MultiNormalDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultiTDist.u">(metrolopy.distributions.MultiTDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultivariateDistribution.u">(metrolopy.distributions.MultivariateDistribution method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultivariateElement.u">(metrolopy.distributions.MultivariateElement method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.NormalDist.u">(metrolopy.distributions.NormalDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.PoissonDist.u">(metrolopy.distributions.PoissonDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.TDist.u">(metrolopy.distributions.TDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.TrapezoidalDist.u">(metrolopy.distributions.TrapezoidalDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.TriangularDist.u">(metrolopy.distributions.TriangularDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.UniformDist.u">(metrolopy.distributions.UniformDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.WeibullDist.u">(metrolopy.distributions.WeibullDist method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.U">U() (metrolopy.gummy.gummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.u">u() (metrolopy.gummy.gummy property)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.ummy.ummy.u">(metrolopy.ummy.ummy property)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.ubreakdown">ubreakdown() (metrolopy.gummy.gummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.ufrom">ufrom() (metrolopy.nummy.nummy method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.ummy.ummy.ufrom">(metrolopy.ummy.ummy method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy">ummy (class in metrolopy.ummy)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.exceptions.UncertiantyPrecisionWarning">UncertiantyPrecisionWarning</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.unicode">unicode() (metrolopy.gummy.gummy method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.printing.PrettyPrinter.unicode">(metrolopy.printing.PrettyPrinter method)</a>
-</li>
-      </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.distributions.UniformDist">UniformDist (class in metrolopy.distributions)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unit.Unit">Unit (class in metrolopy.unit)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.unit">unit() (metrolopy.gummy.gummy property)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.gummy.jummy.unit">(metrolopy.gummy.jummy property)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.unit.Conversion.unit">(metrolopy.unit.Conversion property)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.unit.Unit.unit">(metrolopy.unit.Unit static method)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.exceptions.UnitError">UnitError</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.exceptions.UnitLibError">UnitLibError</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.exceptions.UnitLibNotFoundError">UnitLibNotFoundError</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.exceptions.UnitNotFoundError">UnitNotFoundError</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.unit.Unit.units">units() (metrolopy.unit.Unit property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.budget.Budget.units_on_values">units_on_values (metrolopy.budget.Budget attribute)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.exceptions.UnitWarning">UnitWarning</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.Usim">Usim() (metrolopy.gummy.gummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.usim">usim() (metrolopy.gummy.gummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.Usim">Usim() (metrolopy.nummy.nummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.nummy.nummy.usim">usim() (metrolopy.nummy.nummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.ummy.ummy.utype">utype() (metrolopy.ummy.ummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.uunit">uunit() (metrolopy.gummy.gummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.uunit_is_rel">uunit_is_rel() (metrolopy.gummy.gummy property)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.ux">ux (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.ux">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.ux">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.ux">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.uy">uy (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.uy">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.uy">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.uy">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-  </ul></td>
-</tr></table>
-
-<h2 id="W">W</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.distributions.WeibullDist">WeibullDist (class in metrolopy.distributions)</a>
-</li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.mean.wmean">wmean() (in module metrolopy.mean)</a>
-</li>
-  </ul></td>
-</tr></table>
-
-<h2 id="X">X</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.x">x (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.x">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.x">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.x">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.distributions.ArcSinDist.x">x() (metrolopy.distributions.ArcSinDist method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.distributions.BinomialDist.x">(metrolopy.distributions.BinomialDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.Convolution.x">(metrolopy.distributions.Convolution method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.CurvlinearTrapDist.x">(metrolopy.distributions.CurvlinearTrapDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.Distribution.x">(metrolopy.distributions.Distribution method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.ExponentialDist.x">(metrolopy.distributions.ExponentialDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.GammaDist.x">(metrolopy.distributions.GammaDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.LaplaceDist.x">(metrolopy.distributions.LaplaceDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.LogNormalDist.x">(metrolopy.distributions.LogNormalDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultiNormalDist.x">(metrolopy.distributions.MultiNormalDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultiTDist.x">(metrolopy.distributions.MultiTDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultivariateDistribution.x">(metrolopy.distributions.MultivariateDistribution method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.MultivariateElement.x">(metrolopy.distributions.MultivariateElement method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.NormalDist.x">(metrolopy.distributions.NormalDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.PoissonDist.x">(metrolopy.distributions.PoissonDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.TDist.x">(metrolopy.distributions.TDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.TrapezoidalDist.x">(metrolopy.distributions.TrapezoidalDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.TriangularDist.x">(metrolopy.distributions.TriangularDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.UniformDist.x">(metrolopy.distributions.UniformDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.distributions.WeibullDist.x">(metrolopy.distributions.WeibullDist method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.gummy.gummy.x">(metrolopy.gummy.gummy property)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.gummy.jummy.x">(metrolopy.gummy.jummy property)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.ummy.ummy.x">(metrolopy.ummy.ummy property)</a>
-</li>
-      </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.xdim">xdim (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.xdim">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.xdim">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.xdim">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.xf">xf (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.xf">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.xf">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.xf">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.gummy.gummy.xsim">xsim() (metrolopy.gummy.gummy property)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.nummy.nummy.xsim">(metrolopy.nummy.nummy property)</a>
-</li>
-      </ul></li>
-  </ul></td>
-</tr></table>
-
-<h2 id="Y">Y</h2>
+<h2 id="M">M</h2>
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.y">y (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.y">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.y">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.y">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.ydim">ydim (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.ydim">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.ydim">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.ydim">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.fit.DoubleExpFit.yf">yf (metrolopy.fit.DoubleExpFit attribute)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.fit.ExpFit.yf">(metrolopy.fit.ExpFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.OneOverTFit.yf">(metrolopy.fit.OneOverTFit attribute)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.fit.SinFit.yf">(metrolopy.fit.SinFit attribute)</a>
-</li>
-      </ul></li>
-      <li><a href="metrolopy.html#metrolopy.fit.Fit.ypred">ypred() (metrolopy.fit.Fit method)</a>
-</li>
-      <li><a href="metrolopy.html#metrolopy.fit.Fit.ypredf">ypredf() (metrolopy.fit.Fit method)</a>
+      <li><a href="metrolopy.html#module-metrolopy">metrolopy (module)</a>
 </li>
   </ul></td>
-</tr></table>
-
-<h2 id="Z">Z</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="metrolopy.html#metrolopy.logunit.LogUnit.zero">zero() (metrolopy.logunit.LogUnit method)</a>
-
-      <ul>
-        <li><a href="metrolopy.html#metrolopy.nonlinearunit.NonlinearUnit.zero">(metrolopy.nonlinearunit.NonlinearUnit method)</a>
-</li>
-        <li><a href="metrolopy.html#metrolopy.offsetunit.OffsetUnit.zero">(metrolopy.offsetunit.OffsetUnit method)</a>
+      <li><a href="metrolopy.tests.html#module-metrolopy.tests">metrolopy.tests (module)</a>
 </li>
-      </ul></li>
   </ul></td>
 </tr></table>
 
@@ -1560,7 +83,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>
     <div class="footer" role="contentinfo">
diff --git a/docs/_build/html/hand_made_doc.html b/docs/_build/html/hand_made_doc.html
index 01b604a..41dff61 100644
--- a/docs/_build/html/hand_made_doc.html
+++ b/docs/_build/html/hand_made_doc.html
@@ -4,7 +4,7 @@
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta charset="utf-8" />
-    <title>MetroloPy &#8212; metrolopy 0.5.6 documentation</title>
+    <title>MetroloPy &#8212; metrolopy 0.5.7 documentation</title>
     <link rel="stylesheet" href="_static/nature.css" type="text/css" />
     <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
     <script id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
@@ -24,7 +24,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>  
 
@@ -2080,7 +2080,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>
     <div class="footer" role="contentinfo">
diff --git a/docs/_build/html/index.html b/docs/_build/html/index.html
index a64e406..b9db584 100644
--- a/docs/_build/html/index.html
+++ b/docs/_build/html/index.html
@@ -4,7 +4,7 @@
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta charset="utf-8" />
-    <title>MetroloPy, the docs &#8212; metrolopy 0.5.6 documentation</title>
+    <title>MetroloPy, the docs &#8212; metrolopy 0.5.7 documentation</title>
     <link rel="stylesheet" href="_static/nature.css" type="text/css" />
     <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
     <script id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
@@ -24,7 +24,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="#">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="#">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>  
 
@@ -125,6 +125,7 @@ <h2>version history<a class="headerlink" href="#version-history" title="Permalin
 <li><p>Version 0.5.4, built 15 April 2019, minor bug fixes.</p></li>
 <li><p>Version 0.5.5, built 7 May 2020, minor bug fixes.</p></li>
 <li><p>Version 0.5.6, built 24 September 2020, minor bug fixes.</p></li>
+<li><p>Version 0.5.7, built 26 September 2020, minor change to setup.py.</p></li>
 </ul>
 </div>
 <div class="section" id="author">
@@ -193,7 +194,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="#">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="#">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>
     <div class="footer" role="contentinfo">
diff --git a/docs/_build/html/metrolopy.html b/docs/_build/html/metrolopy.html
index e9c9dc1..7fbd66f 100644
--- a/docs/_build/html/metrolopy.html
+++ b/docs/_build/html/metrolopy.html
@@ -4,7 +4,7 @@
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta charset="utf-8" />
-    <title>metrolopy package &#8212; metrolopy 0.5.6 documentation</title>
+    <title>metrolopy package &#8212; metrolopy 0.5.7 documentation</title>
     <link rel="stylesheet" href="_static/nature.css" type="text/css" />
     <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
     <script id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
@@ -24,7 +24,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>  
 
@@ -41,7 +41,7 @@ <h2>Subpackages<a class="headerlink" href="#subpackages" title="Permalink to thi
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="metrolopy.tests.html">metrolopy.tests package</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="metrolopy.tests.html#submodules">Submodules</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.tests.html#module-metrolopy.tests.test_create">metrolopy.tests.test_create module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.tests.html#metrolopy-tests-test-create-module">metrolopy.tests.test_create module</a></li>
 <li class="toctree-l2"><a class="reference internal" href="metrolopy.tests.html#module-metrolopy.tests">Module contents</a></li>
 </ul>
 </li>
@@ -51,6002 +51,71 @@ <h2>Subpackages<a class="headerlink" href="#subpackages" title="Permalink to thi
 <div class="section" id="submodules">
 <h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.budget">
-<span id="metrolopy-budget-module"></span><h2>metrolopy.budget module<a class="headerlink" href="#module-metrolopy.budget" title="Permalink to this headline">¶</a></h2>
-<p>This module defines the Budget object which displays a table listing the
-uncertainty contributions to a gummy.</p>
-<dl class="class">
-<dt id="metrolopy.budget.Budget">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.budget.</code><code class="sig-name descname">Budget</code><span class="sig-paren">(</span><em class="sig-param">y</em>, <em class="sig-param">xlist</em>, <em class="sig-param">uunit=None</em>, <em class="sig-param">units_on_values=None</em>, <em class="sig-param">sort=True</em>, <em class="sig-param">solidus=None</em>, <em class="sig-param">mulsep=None</em>, <em class="sig-param">slashaxis=None</em>, <em class="sig-param">columns=None</em>, <em class="sig-param">column_names=None</em>, <em class="sig-param">xnames=None</em>, <em class="sig-param">yname=None</em>, <em class="sig-param">show_subtotals=True</em>, <em class="sig-param">show_expanded_u=None</em>, <em class="sig-param">description=None</em>, <em class="sig-param">description_math_mode=False</em>, <em class="sig-param">custom=None</em>, <em class="sig-param">custom_heading=None</em>, <em class="sig-param">custom_math_mode=False</em>, <em class="sig-param">show_s=None</em>, <em class="sig-param">show_d=None</em>, <em class="sig-param">show_c=None</em>, <em class="sig-param">css=None</em>, <em class="sig-param">k=None</em>, <em class="sig-param">p=None</em>, <em class="sig-param">sim=False</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.budget.Budget" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.printing.PrettyPrinter" title="metrolopy.printing.PrettyPrinter"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.printing.PrettyPrinter</span></code></a></p>
-<p>A class that facilitates the creation of uncertainty budget tables.</p>
-<p>To display the table use the <cite>Budget.html</cite> or <cite>Budget.latex</cite>
-methods  in a console or notebook that supports this type of output
-or the python  built-in function to get a unicode table.</p>
-<p>The <cite>Budget.tohtml</cite> and <cite>Budget.tolatex</cite> methods can be used
-to get strings with the html or latex code.</p>
-<p>The <cite>Budget.df</cite> property can be used to retrieve a pandas <cite>DataFrame</cite>
-with the table.  Also <cite>Budget.df_str</cite>, <cite>Budget.df_html</cite> and
-<cite>Budget.df_latex</cite> return DataFrames with formatted strings as entries
-rather than numerical values.</p>
-<dl class="field-list">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul>
-<li><p><strong>y</strong> (<cite>gummy</cite>) – the dependant variable</p></li>
-<li><p><strong>xlist</strong> (array_like of <cite>gummy</cite>) – The independent variables.  Warnings will be generated if the
-gummys in this list over determine <cite>y</cite> (that is if not all
-variables in this list can be treated as independent variables)
-or under determine <cite>y</cite> (that is if some variables
-contributing to the uncertainty in <cite>y</cite> are missing).</p></li>
-<li><p><strong>uunit</strong> (<cite>str</cite> or Unit, optional) – Unit to use to express the uncertainties.  This useful if you
-wish to express all uncertainties  as relative uncertainty unit
-(e.g. %).</p></li>
-<li><p><strong>k, p</strong> (<cite>float</cite>, optional) – k or p values for the expanded uncertainty; do not specify both <cite>k</cite>
-and <cite>p</cite>; if neither are specified the the <cite>k</cite> and <cite>p</cite> values of <cite>y</cite>
-are used</p></li>
-<li><p><strong>sort</strong> (<cite>bool</cite>, optional) – Whether or not to sort the gummys in <cite>xlist</cite> by significance.</p></li>
-<li><p><strong>columns</strong> (<cite>list</cite> of <cite>str</cite> or <cite>None</cite>, optional) – Allows the user to select the columns (and ordering of the columns)
-for display.  The available columns are:</p>
-<p>“component” or “name”:  the names of the gummy, displayed by default</p>
-<dl class="simple">
-<dt>“description”:  description given in the description parameter list,</dt><dd><p>displayed by default if the description parameter is not None</p>
-</dd>
-</dl>
-<p>“unit”:  the unit of the gummy, displayed by default</p>
-<p>“value”:  the x value of the gummy, displayed by default</p>
-<dl class="simple">
-<dt>“u” or “uncertainty”:  The uncertainty of the gummy.  This is the</dt><dd><p>standard uncertainty except possible in the last row where an
-expanded uncertainty is displayed.  This column is displayed by
-default.</p>
-</dd>
-<dt>“dof”:  the degrees of freedom for the uncertainty, displayed by default</dt><dd><p>if any uncertainty has finite degrees of freedom</p>
-</dd>
-<dt>“type”:  the uncertainty type, displayed by default if any gummy has</dt><dd><p>a type defined</p>
-</dd>
-<dt>“s” or “significance”:  the sensitivity coefficient (below) multiplied</dt><dd><p>by the standard uncertainty, displayed by default</p>
-</dd>
-<dt>“d”, “derivative” or “partial”:  the partial derivative of the y gummy</dt><dd><p>with resect to the gummy in that row</p>
-</dd>
-</dl>
-<p>“c” or “sensitivity coefficient”:  the absolute value of “d”</p>
-<dl class="simple">
-<dt>“custom”:  value given in the custom parameter list, displayed by default</dt><dd><p>if the custom parameter is not None</p>
-</dd>
-</dl>
-<p>The columns displayed can also be set with the <cite>columns</cite> property.</p>
-</li>
-<li><p><strong>column_names</strong> (<cite>dict</cite> or <cite>None</cite>, optional) – Names to display as column headers, if this is <cite>None</cite> then the default
-names are used.  The dictionary should use as keys any of the column
-names listed above in the columns parameter description and as values
-the desired heading for this column.  The column names can also be set
-with the <cite>column_names</cite> property.</p></li>
-<li><p><strong>show_subtotals</strong> (<cite>bool</cite>, optional) – If any uncertainty types are defined, the combined standard uncertainty
-for each type is displayed in the table.  This can also be changed by
-setting the <cite>show_subtotals</cite> attribute.  The default is <cite>True</cite>.</p></li>
-<li><p><strong>show_expanded_u</strong> (<cite>bool</cite> or <cite>None</cite>, optional) – Whether or not to display the expanded uncertainty in the last row.  If
-this is <cite>None</cite>, then the expanded uncertainty is displayed if <code class="docutils literal notranslate"><span class="pre">y.k</span> <span class="pre">!=</span> <span class="pre">1</span></code>.
-This can also be changed by setting the <cite>show_expanded_u</cite> attribute.</p></li>
-<li><p><strong>show_s</strong> (<cite>bool</cite>, optional) – Whether or not to show the significance column.  This is ignored if the
-<cite>columns</cite> parameter is not <cite>None</cite>.  The default can be changed by setting
-the attribute class attribute <cite>Budget.show_s</cite>.  The default value is <cite>True</cite>.</p></li>
-<li><p><strong>show_d</strong> (<cite>bool</cite>, optional) – Whether or not to show the partial derivatives column.  This is ignored
-if columns is not None.  The default can be  changed by setting the
-attribute class attribute <cite>Budget.show_d</cite>.  The default is <cite>True</cite>.</p></li>
-<li><p><strong>show_c</strong> (<cite>bool</cite>, optional) – Whether or not to show the sensitivity coefficient column.  This is ignored
-if columns is not None.  The default can be changed by setting the
-attribute class attribute <cite>Budget.show_c</cite>.  Teh default value is <cite>False</cite></p></li>
-<li><p><strong>units_on_values</strong> (<cite>bool</cite> or <cite>None</cite>) –</p>
-<dl class="simple">
-<dt>If this is <cite>True</cite>, units are shown in the value and u columns and if <cite>False</cite></dt><dd><p>the units are in a separate column.  If <cite>None</cite> then the units are in a
-separate column unless  any gummy in <cite>xlist</cite> or <cite>y</cite> has a <cite>uunit</cite> defined.</p>
-</dd>
-</dl>
-</li>
-<li><p><strong>sim</strong> (<cite>bool</cite>, optional) – If True, the combined uncertainty and partial derivatives will be calculated
-using Monte-Carlo data.  The default is <cite>False</cite></p></li>
-<li><p><strong>css</strong> (<cite>str</cite> or <cite>None</cite>, optional) – A css header to be used when displaying the table in HTML format.  If this is
-<cite>None</cite> then <cite>Budget.default_css</cite> will be used.</p></li>
-<li><p><strong>description</strong> (<cite>list</cite> of <cite>str</cite> or <cite>None</cite>, optional) – An optional column of descriptions to be printed in the table.  This should
-be a description for <cite>y</cite> then for each <cite>x</cite>, and followed, optionally, by
-subtotal and expanded uncertainty descriptions.</p></li>
-<li><p><strong>description_math_mode</strong> (<cite>bool</cite>, optional) – If this is <cite>False</cite>, then when using a LaTeX format, the description is put
-in normal text mode rather than math mode.  The default is <cite>False</cite></p></li>
-<li><p><strong>custom</strong> (<cite>list</cite> of <cite>str</cite> or <cite>None</cite>, optional) – An optional column of  additional information to be printed in the table.
-This should be a value for <cite>y</cite> then for each <cite>x</cite>, and followed, optionally,
-by subtotal and expanded uncertainty values.</p></li>
-<li><p><strong>custom_heading</strong> (<cite>str</cite> or <cite>None</cite>, optional) – A heading for the custom column.</p></li>
-<li><p><strong>custom_math_mode</strong> (<cite>bool</cite>) – If this is False, then when using a LaTeX format, the custom value is put
-in normal text mode rather than math mode.  The default value is <cite>False</cite>.</p></li>
-<li><p><strong>solidus, mulsep, slashaxis</strong> – see gummy.solidus, gummy.mulsep and gummy.slashaxis</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="method">
-<dt id="metrolopy.budget.Budget.column_names">
-<em class="property">property </em><code class="sig-name descname">column_names</code><a class="headerlink" href="#metrolopy.budget.Budget.column_names" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>dict</cite></p>
-<p>Names to display as column headers.  The dictionary should use as keys
-any of the column names listed above in the columns parameter
-description and as values the desired heading for this column.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.budget.Budget.columns">
-<em class="property">property </em><code class="sig-name descname">columns</code><a class="headerlink" href="#metrolopy.budget.Budget.columns" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>list</cite> of <cite>str</cite> or <cite>None</cite></p>
-<p>Allows the user to select the columns (and ordering of the columns)
-for display.  The available columns are:</p>
-<p>“component” or “name”:  the names of the gummy, displayed by default</p>
-<dl class="simple">
-<dt>“description”:  description given in the description parameter list,</dt><dd><p>displayed by default if the description parameter is not None</p>
-</dd>
-</dl>
-<p>“unit”:  the unit of the gummy, displayed by default</p>
-<p>“value”:  the x value of the gummy, displayed by default</p>
-<dl class="simple">
-<dt>“u” or “uncertainty”:  The uncertainty of the gummy.  This is the</dt><dd><p>standard uncertainty except possible in the last row where an
-expanded uncertainty is displayed.  This column is displayed by
-default.</p>
-</dd>
-<dt>“dof”:  the degrees of freedom for the uncertainty, displayed by default</dt><dd><p>if any uncertainty has finite degrees of freedom</p>
-</dd>
-<dt>“type”:  the uncertainty type, displayed by default if any gummy has</dt><dd><p>a type defined</p>
-</dd>
-<dt>“s” or “significance”:  the sensitivity coefficient (below) multiplied</dt><dd><p>by the standard uncertainty, displayed by default</p>
-</dd>
-<dt>“d”, “derivative” or “partial”:  the partial derivative of the y gummy</dt><dd><p>with resect to the gummy in that row</p>
-</dd>
-</dl>
-<p>“c” or “sensitivity coefficient”:  the absolute value of “d”</p>
-<dl class="simple">
-<dt>“custom”:  value given in the custom parameter list, displayed by default</dt><dd><p>if the custom parameter is not None</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.budget.Budget.default_column_names">
-<code class="sig-name descname">default_column_names</code><em class="property"> = None</em><a class="headerlink" href="#metrolopy.budget.Budget.default_column_names" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.budget.Budget.default_columns">
-<code class="sig-name descname">default_columns</code><em class="property"> = None</em><a class="headerlink" href="#metrolopy.budget.Budget.default_columns" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.budget.Budget.default_css">
-<code class="sig-name descname">default_css</code><em class="property"> = '\n.budget_table {\n    display: table;\n}\n    \n.budget_row {\n    display: table-row;\n}\n\n.budget_header_row {\n    display: table-row;\n    font-weight: bold;\n}\n\n.budget_first_col_header_cell\n{\n    display: table-cell;\n    text-align: center;\n    border-bottom: solid;\n    border-width: thin;\n    padding-left: 5px;\n    padding-right: 5px;\n}\n\n.budget_header_cell {\n    display: table-cell;\n    text-align: center;\n    border-bottom: solid;\n    border-width: thin;\n    padding-left: 5px;\n    padding-right: 5px;\n    \n}\n\n.budget_first_col_x_cell {\n    display: table-cell;\n    text-align: center;\n    padding-left: 5px;\n    padding-right: 5px;\n    min-width: 8ex;\n}\n\n.budget_x_cell {\n    display: table-cell;\n    text-align: center;\n    padding-left: 5px;\n    padding-right: 5px;\n    min-width: 8ex;\n}\n'</em><a class="headerlink" href="#metrolopy.budget.Budget.default_css" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.budget.Budget.df">
-<em class="property">property </em><code class="sig-name descname">df</code><a class="headerlink" href="#metrolopy.budget.Budget.df" title="Permalink to this definition">¶</a></dt>
-<dd><p>read-only</p>
-<p>Returns a Panda’s DataFrame with the the budget table.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.budget.Budget.df_html">
-<em class="property">property </em><code class="sig-name descname">df_html</code><a class="headerlink" href="#metrolopy.budget.Budget.df_html" title="Permalink to this definition">¶</a></dt>
-<dd><p>read-only</p>
-<p>Returns a Panda’s DataFrame with the the budget table, with
-entries displayed using HTML.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.budget.Budget.df_latex">
-<em class="property">property </em><code class="sig-name descname">df_latex</code><a class="headerlink" href="#metrolopy.budget.Budget.df_latex" title="Permalink to this definition">¶</a></dt>
-<dd><p>read-only</p>
-<p>Returns a Panda’s DataFrame with the the budget table, with all
-entries displayed using LaTeX.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.budget.Budget.df_str">
-<em class="property">property </em><code class="sig-name descname">df_str</code><a class="headerlink" href="#metrolopy.budget.Budget.df_str" title="Permalink to this definition">¶</a></dt>
-<dd><p>read-only</p>
-<p>Returns a Panda’s DataFrame with the the budget table, with
-all values displayed as strings.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.budget.Budget.k">
-<em class="property">property </em><code class="sig-name descname">k</code><a class="headerlink" href="#metrolopy.budget.Budget.k" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets or sets the <cite>k</cite> value for the expanded uncertainty of <cite>y</cite>.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.budget.Budget.p">
-<em class="property">property </em><code class="sig-name descname">p</code><a class="headerlink" href="#metrolopy.budget.Budget.p" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets or sets the <cite>p</cite> value for the expanded uncertainty of <cite>y</cite>.</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.budget.Budget.show_c">
-<code class="sig-name descname">show_c</code><em class="property"> = True</em><a class="headerlink" href="#metrolopy.budget.Budget.show_c" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.budget.Budget.show_d">
-<code class="sig-name descname">show_d</code><em class="property"> = False</em><a class="headerlink" href="#metrolopy.budget.Budget.show_d" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.budget.Budget.show_s">
-<code class="sig-name descname">show_s</code><em class="property"> = True</em><a class="headerlink" href="#metrolopy.budget.Budget.show_s" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.budget.Budget.tostring">
-<code class="sig-name descname">tostring</code><span class="sig-paren">(</span><em class="sig-param">fmt='unicode'</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.budget.Budget.tostring" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string representation of the budget table</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>fmt</strong> (<em>{‘unicode’,’html’,’latex’,’ascii’}, optional</em>) – encoding for the output.  The default is ‘unicode’.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.budget.Budget.units_on_values">
-<code class="sig-name descname">units_on_values</code><em class="property"> = None</em><a class="headerlink" href="#metrolopy.budget.Budget.units_on_values" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-</div>
-<div class="section" id="module-metrolopy.dfunc">
-<span id="metrolopy-dfunc-module"></span><h2>metrolopy.dfunc module<a class="headerlink" href="#module-metrolopy.dfunc" title="Permalink to this headline">¶</a></h2>
-<p>Class Dfunc is an abstract base class inherited by gummy and jummy to provides
-some support for numpy broadcasting for functions and operators.</p>
-<dl class="class">
-<dt id="metrolopy.dfunc.Dfunc">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.dfunc.</code><code class="sig-name descname">Dfunc</code><a class="headerlink" href="#metrolopy.dfunc.Dfunc" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
-<p>Class <cite>Dfunc</cite> is an abstract base class that provides some support for numpy
-broadcasting for functions and operators.  An inheriting class must implement
-the <cite>_apply(self,function,derivative,*args)</cite>, <cite>_napply(self,function,*args)</cite>,
-and <cite>tofloat(self)</cite> methods, as well as <cite>_add(x)</cite>, <cite>_radd(x)</cite>, <cite>_sub(x)</cite>, …</p>
-<dl class="method">
-<dt id="metrolopy.dfunc.Dfunc.apply">
-<em class="property">classmethod </em><code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param">function</em>, <em class="sig-param">derivative</em>, <em class="sig-param">*args</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.dfunc.Dfunc.apply" title="Permalink to this definition">¶</a></dt>
-<dd><p>A classmethod that applies a function to one or more gummy or jummy
-objects propagating the uncertainty.</p>
-<dl class="field-list">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul>
-<li><p><strong>function</strong> (<cite>function</cite>) – The the function to be applied. For <cite>gummy.apply</cite>, ‘function’
-should take one or more float arguments and return a float value
-or float array.  For <cite>jummy.apply</cite>, ‘function’ may also take and
-return complex values.</p></li>
-<li><dl>
-<dt><strong>derivative</strong> (<cite>function</cite>) –  The name of a second function that gives the derivatives</dt><dd><p>with respect to the arguments of <cite>function</cite>.  <cite>derivative</cite> should
-take an equal number of arguments as <cite>function</cite>.  If <cite>function</cite>
-takes one argument <cite>derivative</cite> should return a float and if
-<cite>function</cite> takes more than one argument then <cite>derivative</cite> should
-return a tuple, list or array of floats that contains the derivatives
-with respect to each argument.  In the case of <cite>jummy.apply</cite>, the
-derivatives with respect to each argument may be real or complex
-values, in which case <cite>function</cite> is assumed to be holomorphic.  Or
-the derivative may be a 2 x 2 matrix of the form:</p>
-<blockquote>
-<div><dl class="simple">
-<dt>[[ du/dx, du/dy ],</dt><dd><p>[ dv/dx, dv/dy ]]</p>
-</dd>
-</dl>
-</div></blockquote>
-</dd>
-</dl>
-<p>where function(x + j*y) = u + j*v.</p>
-</li>
-<li><p><strong>*args</strong> (<cite>gummy</cite>, <cite>jummy</cite>, or <cite>float</cite>) – One or more arguments to which <cite>function</cite> will be applied.  These
-arguments need not all be <cite>Dfunc</cite> objects; arguments  such as
-floats will be taken to be constants with no uncertainty.
-They may also be numpy ndarrays in which case the usual numpy
-broadcasting rules apply.</p></li>
-</ul>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p>If none of the arguments are <cite>gummy</cite> or <cite>jummy</cite>
-then the return value is the same type as the return value of <cite>function</cite>.
-Otherwise <cite>gummy.apply</cite> returns a <cite>gummy</cite> and <cite>jummy.apply</cite> returns either a
-<cite>gummy</cite> or a <cite>jummy</cite> depending on whether <cite>function</cite> has a float or
-a complex return value.</p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p><cite>gummy</cite>, <cite>jummy</cite></p>
-</dd>
-</dl>
-<p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">0.678</span><span class="p">,</span><span class="n">u</span><span class="o">=</span><span class="mf">0.077</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">gummy</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">,</span><span class="n">x</span><span class="p">)</span>
-<span class="go">0.627 +/- 0.060</span>
-</pre></div>
-</div>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">1.22</span><span class="p">,</span><span class="n">u</span><span class="o">=</span><span class="mf">0.44</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">y</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">3.44</span><span class="p">,</span><span class="n">u</span><span class="o">=</span><span class="mf">0.67</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="k">def</span> <span class="nf">dhypot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">):</span>
-<span class="gp">... </span>    <span class="k">return</span> <span class="p">(</span><span class="n">x1</span><span class="o">/</span><span class="n">sqrt</span><span class="p">(</span><span class="n">x1</span><span class="o">**</span><span class="mi">2</span> <span class="o">+</span> <span class="n">x2</span><span class="o">**</span><span class="mi">2</span><span class="p">),</span><span class="n">x2</span><span class="o">/</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">x1</span><span class="o">**</span><span class="mi">2</span> <span class="o">+</span> <span class="n">x2</span><span class="o">**</span><span class="mi">2</span><span class="p">))</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">gummy</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">hypot</span><span class="p">,</span><span class="n">dhypot</span><span class="p">,</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">)</span>
-<span class="go">3.65 +/- 0.65</span>
-</pre></div>
-</div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.dfunc.Dfunc.napply">
-<em class="property">classmethod </em><code class="sig-name descname">napply</code><span class="sig-paren">(</span><em class="sig-param">function</em>, <em class="sig-param">*args</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.dfunc.Dfunc.napply" title="Permalink to this definition">¶</a></dt>
-<dd><p>gummy.napply(function, arg1, arg2, …) and
-jummy.napply(function, arg1, arg2, …)</p>
-<p>A classmethod that applies a function to one or more gummy or jummy
-objects propagating the uncertainty.  This method is similar to apply
-except that the derivatives are computed numerically so a derivative
-function does not need to be supplied.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>function</strong> (<cite>function</cite>) – The the function to be applied. For <cite>gummy.apply</cite>, ‘function’
-should take one or more float arguments and return a float value
-r float array.  For <cite>jummy.apply</cite>, ‘function’ may also take and
-return complex values.</p></li>
-<li><p><strong>*args</strong> (<cite>gummy</cite>, <cite>jummy</cite>, or <cite>float</cite>) – One or more arguments to which <cite>function</cite> will be applied.  These
-arguments need not all be <cite>Dfunc</cite> objects; arguments  such as
-floats will be taken to be constants with no uncertainty.
-They may also be numpy ndarrays in which case the usual numpy
-broadcasting rules apply.</p></li>
-</ul>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p>If none of the arguments are <cite>gummy</cite> or <cite>jummy</cite>
-then the return value is the same type as the return value of <cite>function</cite>.
-Otherwise <cite>gummy.apply</cite> returns a <cite>gummy</cite> and <cite>jummy.apply</cite> returns either a
-<cite>gummy</cite> or a <cite>jummy</cite> depending on whether <cite>function</cite> has a float or
-a complex return value.</p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p><cite>gummy</cite>, <cite>jummy</cite></p>
-</dd>
-</dl>
-<p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">0.678</span><span class="p">,</span><span class="n">u</span><span class="o">=</span><span class="mf">0.077</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">gummy</span><span class="o">.</span><span class="n">napply</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">,</span><span class="n">x</span><span class="p">)</span>
-<span class="go">0.627 +/- 0.060</span>
-</pre></div>
-</div>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">1.22</span><span class="p">,</span><span class="n">u</span><span class="o">=</span><span class="mf">0.44</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">y</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">3.44</span><span class="p">,</span><span class="n">u</span><span class="o">=</span><span class="mf">0.67</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">gummy</span><span class="o">.</span><span class="n">napply</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">hypot</span><span class="p">,</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">)</span>
-<span class="go">3.65 +/- 0.65</span>
-</pre></div>
-</div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.dfunc.Dfunc.tofloat">
-<code class="sig-name descname">tofloat</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.dfunc.Dfunc.tofloat" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-</div>
-<div class="section" id="module-metrolopy.distributions">
-<span id="metrolopy-distributions-module"></span><h2>metrolopy.distributions module<a class="headerlink" href="#module-metrolopy.distributions" title="Permalink to this headline">¶</a></h2>
-<p>This module contains the classed that represent distributions for use with
-gummy objects</p>
-<dl class="class">
-<dt id="metrolopy.distributions.ArcSinDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">ArcSinDist</code><span class="sig-paren">(</span><em class="sig-param">center=None</em>, <em class="sig-param">half_width=None</em>, <em class="sig-param">lower_limit=None</em>, <em class="sig-param">upper_limit=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.ArcSinDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.ArcSinDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.ArcSinDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.ArcSinDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.ArcSinDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.ArcSinDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.ArcSinDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.BinomialDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">BinomialDist</code><span class="sig-paren">(</span><em class="sig-param">n</em>, <em class="sig-param">p</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.BinomialDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.BinomialDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.BinomialDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.BinomialDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.BinomialDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.BinomialDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.BinomialDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.Convolution">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">Convolution</code><span class="sig-paren">(</span><em class="sig-param">func</em>, <em class="sig-param">*args</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Convolution" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="attribute">
-<dt id="metrolopy.distributions.Convolution.isindependent">
-<code class="sig-name descname">isindependent</code><em class="property"> = False</em><a class="headerlink" href="#metrolopy.distributions.Convolution.isindependent" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Convolution.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Convolution.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Convolution.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Convolution.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.CurvlinearTrapDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">CurvlinearTrapDist</code><span class="sig-paren">(</span><em class="sig-param">center=None</em>, <em class="sig-param">half_width=None</em>, <em class="sig-param">limit_half_range=None</em>, <em class="sig-param">lower_limit=None</em>, <em class="sig-param">upper_limit=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.CurvlinearTrapDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.CurvlinearTrapDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.CurvlinearTrapDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.CurvlinearTrapDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.CurvlinearTrapDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.CurvlinearTrapDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.CurvlinearTrapDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.Distribution">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">Distribution</code><a class="headerlink" href="#metrolopy.distributions.Distribution" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
-<p>Abstract base class for distributions used for Monte-Carlo uncertainty
-propagation.</p>
-<p>In a derived class define the following methods:</p>
-<dl class="simple">
-<dt>random(n=None):  Return a numpy array of n values drawn from the distribution.</dt><dd><p>If <cite>n</cite> is <cite>None</cite> then a single scalar value should be returned.  Preferably
-use, as a random number generator, the <cite>numpy.RandomState</cite> object accessed
-with the <cite>Distribution.random_state</cite> static method.</p>
-</dd>
-<dt>x():  A scalar “center” of the distribution.  This is used to get the <cite>x</cite> value</dt><dd><p>of a gummy defined with the distribution.</p>
-</dd>
-<dt>u():  A scalar “standard uncertainty” of the distribution (usually the standard</dt><dd><p>deviation).  This is used to get the u value of a gummy defined with
-the distribution.</p>
-</dd>
-</dl>
-<dl class="attribute">
-<dt id="metrolopy.distributions.Distribution.simdata">
-<code class="sig-name descname">simdata</code><a class="headerlink" href="#metrolopy.distributions.Distribution.simdata" title="Permalink to this definition">¶</a></dt>
-<dd><p>Simulated data following a call from the <cite>simulate</cite> static method.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p>numpy.ndarray or <cite>None</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.distributions.Distribution.isindependent">
-<code class="sig-name descname">isindependent</code><a class="headerlink" href="#metrolopy.distributions.Distribution.isindependent" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>False</cite> if the class is a <cite>Convolution</cite>, <cite>True</cite> otherwise</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>bool</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<p class="rubric">Example</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="k">class</span> <span class="nc">ChiSquaredDist</span><span class="p">(</span><span class="n">Distribution</span><span class="p">):</span>
-<span class="gp">... </span>   <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">dof</span><span class="p">):</span>
-<span class="gp">... </span>       <span class="bp">self</span><span class="o">.</span><span class="n">dof</span> <span class="o">=</span> <span class="n">dof</span>
-<span class="gp">...</span>
-<span class="gp">... </span>   <span class="k">def</span> <span class="nf">random</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">n</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-<span class="gp">... </span>       <span class="k">return</span> <span class="n">Distribution</span><span class="o">.</span><span class="n">random_state</span><span class="p">()</span><span class="o">.</span><span class="n">chisquare</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dof</span><span class="p">,</span><span class="n">n</span><span class="p">)</span>
-<span class="gp">...</span>
-<span class="gp">... </span>   <span class="k">def</span> <span class="nf">x</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-<span class="gp">... </span>       <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">dof</span>
-<span class="gp">...</span>
-<span class="gp">... </span>   <span class="k">def</span> <span class="nf">u</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-<span class="gp">... </span>       <span class="k">return</span> <span class="mi">2</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">dof</span>
-</pre></div>
-</div>
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.apply">
-<em class="property">static </em><code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param">f</em>, <em class="sig-param">*d</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.apply" title="Permalink to this definition">¶</a></dt>
-<dd><p>Applies a function <cite>f</cite> to distribution(s) <cite>d1</cite>, <cite>d2</cite>, …, <cite>f`(`d1</cite>,`d2`,…)
-and returns a distribution resulting from the convolution.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>f</strong> (<em>function</em>) – Any function that takes an appropriate number of scalar values
-and returns a scalar.</p></li>
-<li><p><strong>d1, d2, …</strong> (<cite>Distribution</cite> or scalar) – the distributions to be used as arguments to f.  Fixed values
-(e.g. <cite>float</cite>) can also be used for some or all arguments.</p></li>
-</ul>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p>if any of <cite>d1</cite>, <cite>d2</cite>, … is a <cite>Distribution</cite>, f(d1,d2,…)
-otherwise</p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p><cite>Convolution</cite> or <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.ci">
-<code class="sig-name descname">ci</code><span class="sig-paren">(</span><em class="sig-param">p</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.ci" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the shortest interval that contains the fraction p of the simulated
-data values.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a tuple containing the lower and upper limits of the interval</p>
-</dd>
-<dt class="field-even">Return type</dt>
-<dd class="field-even"><p><cite>tuple</cite> of <cite>float</cite></p>
-</dd>
-<dt class="field-odd">Raises</dt>
-<dd class="field-odd"><p><a class="reference internal" href="#metrolopy.exceptions.NoSimulatedDataError" title="metrolopy.exceptions.NoSimulatedDataError"><strong>NoSimulatedDataError</strong></a> – if no simulated data is available from a call to
-    <cite>Distribution.simulate</cite>.</p>
-</dd>
-</dl>
-<div class="admonition seealso">
-<p class="admonition-title">See also</p>
-<p><a class="reference internal" href="#metrolopy.distributions.Distribution.cisym" title="metrolopy.distributions.Distribution.cisym"><code class="xref py py-meth docutils literal notranslate"><span class="pre">cisym()</span></code></a></p>
-</div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.cisym">
-<code class="sig-name descname">cisym</code><span class="sig-paren">(</span><em class="sig-param">p</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.cisym" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the interval that contains the fraction p of the simulated
-data values and with an equal number of values below the lower limit of
-the interval and above the upper limit of the interval.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a tuple containing the lower and upper limits of the interval</p>
-</dd>
-<dt class="field-even">Return type</dt>
-<dd class="field-even"><p><cite>tuple</cite> of <cite>float</cite></p>
-</dd>
-<dt class="field-odd">Raises</dt>
-<dd class="field-odd"><p><a class="reference internal" href="#metrolopy.exceptions.NoSimulatedDataError" title="metrolopy.exceptions.NoSimulatedDataError"><strong>NoSimulatedDataError</strong></a> – if no simulated data is available from a call to
-    <cite>Distribution.simulate</cite>.</p>
-</dd>
-</dl>
-<div class="admonition seealso">
-<p class="admonition-title">See also</p>
-<p><a class="reference internal" href="#metrolopy.distributions.Distribution.ci" title="metrolopy.distributions.Distribution.ci"><code class="xref py py-meth docutils literal notranslate"><span class="pre">ci()</span></code></a></p>
-</div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.clear">
-<code class="sig-name descname">clear</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.clear" title="Permalink to this definition">¶</a></dt>
-<dd><p>Clears the simulated data.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.covplot">
-<em class="property">static </em><code class="sig-name descname">covplot</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">y</em>, <em class="sig-param">fmt='ko'</em>, <em class="sig-param">xlabel=None</em>, <em class="sig-param">ylabel=None</em>, <em class="sig-param">title=None</em>, <em class="sig-param">hold=False</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.covplot" title="Permalink to this definition">¶</a></dt>
-<dd><p>Plots the Distribution <cite>x</cite> versus the Distribution <cite>y</cite></p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>x, y</strong> (<cite>Distribution</cite>) – the distributions to be plotted</p></li>
-<li><p><strong>fmt</strong> (<cite>str</cite>, optional) – Format parameter passed to <cite>pyplot.plot()</cite>, the default is ‘ko’</p></li>
-<li><p><strong>xlabel</strong> (<cite>str</cite> or <cite>None</cite>) – a label for the plot x-axis, the default is <cite>None</cite></p></li>
-<li><p><strong>ylabel</strong> (<cite>str</cite> or <cite>None</cite>) – a label for the plot y-axis, the default is <cite>None</cite></p></li>
-<li><p><strong>title</strong> (<cite>str</cite> or <cite>None</cite>) – a title for the histogram, the default is <cite>None</cite></p></li>
-<li><p><strong>hold</strong> (<cite>bool</cite> i) – If this is <cite>False</cite>, <cite>pyplot.show()</cite> will be called before the
-method exits.  The default is <cite>False</cite></p></li>
-<li><p><strong>kwds</strong> – additional key words that will be passed to <cite>pyplot.plot()</cite></p></li>
-</ul>
-</dd>
-<dt class="field-even">Raises</dt>
-<dd class="field-even"><p><a class="reference internal" href="#metrolopy.exceptions.NoSimulatedDataError" title="metrolopy.exceptions.NoSimulatedDataError"><strong>NoSimulatedDataError</strong></a> – if no simulated data is available from a call to
-    <cite>Distribution.simulate</cite> for <cite>x</cite> and <cite>y</cite>.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.covsim">
-<code class="sig-name descname">covsim</code><span class="sig-paren">(</span><em class="sig-param">d</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.covsim" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the covariance between this <cite>Distribution</cite> instance and another
-<cite>Distribution</cite> <cite>d</cite>.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Raises</dt>
-<dd class="field-odd"><p><a class="reference internal" href="#metrolopy.exceptions.NoSimulatedDataError" title="metrolopy.exceptions.NoSimulatedDataError"><strong>NoSimulatedDataError</strong></a> – if no simulated data is available from a call to
-    <cite>Distribution.simulate</cite> for both <cite>self</cite> and <cite>d</cite>.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.covsim_matrix">
-<em class="property">static </em><code class="sig-name descname">covsim_matrix</code><span class="sig-paren">(</span><em class="sig-param">*d</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.covsim_matrix" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the variance-covariance matrix of the Distributions <cite>d1</cite>, <cite>d2</cite>, …</p>
-<dl class="field-list simple">
-<dt class="field-odd">Raises</dt>
-<dd class="field-odd"><p><a class="reference internal" href="#metrolopy.exceptions.NoSimulatedDataError" title="metrolopy.exceptions.NoSimulatedDataError"><strong>NoSimulatedDataError</strong></a> – if no simulated data is available from a call to
-    <cite>Distribution.simulate</cite> for any of <cite>d1</cite>, <cite>d2</cite>, …</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.hist">
-<code class="sig-name descname">hist</code><span class="sig-paren">(</span><em class="sig-param">hold=False</em>, <em class="sig-param">xlabel=None</em>, <em class="sig-param">ylabel='$ \\mathrm{probability\\:density} $'</em>, <em class="sig-param">title=None</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.hist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Generates a histogram from the simulated data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>hold</strong> (<cite>bool</cite>, optional) – If this is <cite>False</cite>, pyplot.show() will be called before the method
-exits.  The default is <cite>False</cite></p></li>
-<li><p><strong>xlabel</strong> (<cite>str</cite> or <cite>None</cite>, optional) – a label for the histogram horizontal axis, the default is <cite>None</cite></p></li>
-<li><p><strong>ylabel</strong> (<cite>str</cite> or <cite>None</cite>, optional) – a label for the histogram vertical axis, the default is ‘probability
-density’</p></li>
-<li><p><strong>title</strong> (<cite>str</cite> or <cite>None</cite>) – a title for the histogram, the default is <cite>None</cite></p></li>
-<li><p><strong>kwds</strong> – additional key words that will be passed to the <cite>pyplot.hist</cite> method
-that actually created the histogram</p></li>
-</ul>
-</dd>
-<dt class="field-even">Raises</dt>
-<dd class="field-even"><p><a class="reference internal" href="#metrolopy.exceptions.NoSimulatedDataError" title="metrolopy.exceptions.NoSimulatedDataError"><strong>NoSimulatedDataError</strong></a> – if no simulated data is available from a call to
-    <cite>Distribution.simulate</cite>.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt>
-<code class="sig-name descname">isindependent</code><em class="property"> = True</em></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.mean">
-<em class="property">property </em><code class="sig-name descname">mean</code><a class="headerlink" href="#metrolopy.distributions.Distribution.mean" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the mean of the simulated data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Raises</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>A NoSimulatedDataError will be raised if no simulated data is available</strong> – </p></li>
-<li><p><strong>from a call to Distribution.simulate</strong><strong>(</strong><strong>)</strong><strong></strong> – </p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.random_state">
-<em class="property">static </em><code class="sig-name descname">random_state</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.random_state" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the <cite>numpy.random.RandomState</cite> object shared by all distributions.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.set_seed">
-<em class="property">static </em><code class="sig-name descname">set_seed</code><span class="sig-paren">(</span><em class="sig-param">seed</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.set_seed" title="Permalink to this definition">¶</a></dt>
-<dd><p>Sets the seed of the <cite>numpy.random.RandomState</cite> object shared by all
-distributions.</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt>
-<code class="sig-name descname">simdata</code><em class="property"> = None</em></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.simsorted">
-<em class="property">property </em><code class="sig-name descname">simsorted</code><a class="headerlink" href="#metrolopy.distributions.Distribution.simsorted" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy.ndarray, read-only</p>
-<p>Returns a sorted numpy array containing the simulated data values.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Raises</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>A NoSimulatedDataError will be raised if no simulated data is available</strong> – </p></li>
-<li><p><strong>from a call to Distribution.simulate</strong><strong>(</strong><strong>)</strong><strong></strong> – </p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.simulate">
-<em class="property">static </em><code class="sig-name descname">simulate</code><span class="sig-paren">(</span><em class="sig-param">distributions</em>, <em class="sig-param">n=100000</em>, <em class="sig-param">ufrom=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.simulate" title="Permalink to this definition">¶</a></dt>
-<dd><p>Generates simulated data for the desired distributions.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>distributions</strong> (<cite>list</cite> of <cite>Distribution</cite>) – Each Distribution in the list will have the simulated data
-available in the <cite>simdata</cite> attribute. Data will be cleared
-from all Distribution instances not in the list.</p></li>
-<li><p><strong>n</strong> (<em>int &gt; 0, optional</em>) – The number of samples to generate for each distribution.  The
-default is 100000</p></li>
-<li><p><strong>ufrom</strong> (<cite>list</cite> of <cite>Distributions</cite> or <cite>None</cite>) – If this parameter is not <cite>None</cite>, then only variables represented
-by distributions in this list will be allowed to vary.  All other
-variables will be held fixed at the distribution x value.</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.stdev">
-<em class="property">property </em><code class="sig-name descname">stdev</code><a class="headerlink" href="#metrolopy.distributions.Distribution.stdev" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the standard deviation of the simulated data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Raises</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>A NoSimulatedDataError will be raised if no simulated data is available</strong> – </p></li>
-<li><p><strong>from a call to Distribution.simulate</strong><strong>(</strong><strong>)</strong><strong></strong> – </p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.Distribution.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.Distribution.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.ExponentialDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">ExponentialDist</code><span class="sig-paren">(</span><em class="sig-param">scale=None</em>, <em class="sig-param">rate=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.ExponentialDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.ExponentialDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.ExponentialDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.ExponentialDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.ExponentialDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.ExponentialDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.ExponentialDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.GammaDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">GammaDist</code><span class="sig-paren">(</span><em class="sig-param">shape</em>, <em class="sig-param">scale</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.GammaDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.GammaDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.GammaDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.GammaDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.GammaDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.GammaDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.GammaDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.LaplaceDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">LaplaceDist</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">scale</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.LaplaceDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.LaplaceDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.LaplaceDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.LaplaceDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.LaplaceDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.LaplaceDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.LaplaceDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.LogNormalDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">LogNormalDist</code><span class="sig-paren">(</span><em class="sig-param">mu</em>, <em class="sig-param">sigma</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.LogNormalDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.LogNormalDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.LogNormalDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.LogNormalDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.LogNormalDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.LogNormalDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.LogNormalDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.MultiNormalDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">MultiNormalDist</code><span class="sig-paren">(</span><em class="sig-param">mean</em>, <em class="sig-param">cov</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultiNormalDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.MultivariateDistribution" title="metrolopy.distributions.MultivariateDistribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.MultivariateDistribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.MultiNormalDist.cov">
-<em class="property">property </em><code class="sig-name descname">cov</code><a class="headerlink" href="#metrolopy.distributions.MultiNormalDist.cov" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.MultiNormalDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultiNormalDist.u" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.MultiNormalDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultiNormalDist.x" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.MultiTDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">MultiTDist</code><span class="sig-paren">(</span><em class="sig-param">mean</em>, <em class="sig-param">cov</em>, <em class="sig-param">dof</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultiTDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.MultivariateDistribution" title="metrolopy.distributions.MultivariateDistribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.MultivariateDistribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.MultiTDist.cov">
-<em class="property">property </em><code class="sig-name descname">cov</code><a class="headerlink" href="#metrolopy.distributions.MultiTDist.cov" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.MultiTDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultiTDist.u" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.MultiTDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultiTDist.x" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.MultiTElement">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">MultiTElement</code><span class="sig-paren">(</span><em class="sig-param">parent</em>, <em class="sig-param">index</em>, <em class="sig-param">dof</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultiTElement" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.MultivariateElement" title="metrolopy.distributions.MultivariateElement"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.MultivariateElement</span></code></a></p>
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.MultivariateDistribution">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">MultivariateDistribution</code><span class="sig-paren">(</span><em class="sig-param">nd</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultivariateDistribution" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
-<dl class="method">
-<dt id="metrolopy.distributions.MultivariateDistribution.clear">
-<code class="sig-name descname">clear</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultivariateDistribution.clear" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.MultivariateDistribution.cov">
-<em class="property">property </em><code class="sig-name descname">cov</code><a class="headerlink" href="#metrolopy.distributions.MultivariateDistribution.cov" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.MultivariateDistribution.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultivariateDistribution.u" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.MultivariateDistribution.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultivariateDistribution.x" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.MultivariateElement">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">MultivariateElement</code><span class="sig-paren">(</span><em class="sig-param">parent</em>, <em class="sig-param">index</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultivariateElement" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.MultivariateElement.clear">
-<code class="sig-name descname">clear</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultivariateElement.clear" title="Permalink to this definition">¶</a></dt>
-<dd><p>Clears the simulated data.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.MultivariateElement.cov">
-<code class="sig-name descname">cov</code><span class="sig-paren">(</span><em class="sig-param">d</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultivariateElement.cov" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.MultivariateElement.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultivariateElement.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.MultivariateElement.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultivariateElement.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.MultivariateElement.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.MultivariateElement.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.NormalDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">NormalDist</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">s</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.NormalDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.NormalDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.NormalDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.NormalDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.NormalDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.NormalDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.NormalDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.PoissonDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">PoissonDist</code><span class="sig-paren">(</span><em class="sig-param">lam</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.PoissonDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.PoissonDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.PoissonDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.PoissonDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.PoissonDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.PoissonDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.PoissonDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.TDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">TDist</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">s</em>, <em class="sig-param">dof</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.TDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="attribute">
-<dt id="metrolopy.distributions.TDist.bayesian_default">
-<code class="sig-name descname">bayesian_default</code><em class="property"> = False</em><a class="headerlink" href="#metrolopy.distributions.TDist.bayesian_default" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.TDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.TDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.TDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.TDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.TDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.TDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.TrapezoidalDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">TrapezoidalDist</code><span class="sig-paren">(</span><em class="sig-param">lower_limit</em>, <em class="sig-param">upper_limit</em>, <em class="sig-param">top_to_base_ratio</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.TrapezoidalDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.TrapezoidalDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.TrapezoidalDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.TrapezoidalDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.TrapezoidalDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.TrapezoidalDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.TrapezoidalDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.TriangularDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">TriangularDist</code><span class="sig-paren">(</span><em class="sig-param">mode</em>, <em class="sig-param">half_width=None</em>, <em class="sig-param">left_width=None</em>, <em class="sig-param">right_width=None</em>, <em class="sig-param">lower_limit=None</em>, <em class="sig-param">upper_limit=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.TriangularDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.TriangularDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.TriangularDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.TriangularDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.TriangularDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.TriangularDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.TriangularDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.UniformDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">UniformDist</code><span class="sig-paren">(</span><em class="sig-param">center=None</em>, <em class="sig-param">half_width=None</em>, <em class="sig-param">lower_limit=None</em>, <em class="sig-param">upper_limit=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.UniformDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.UniformDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.UniformDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.UniformDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.UniformDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.UniformDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.UniformDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.distributions.WeibullDist">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.distributions.</code><code class="sig-name descname">WeibullDist</code><span class="sig-paren">(</span><em class="sig-param">shape</em>, <em class="sig-param">scale</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.WeibullDist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.distributions.Distribution" title="metrolopy.distributions.Distribution"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.distributions.Distribution</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.distributions.WeibullDist.random">
-<code class="sig-name descname">random</code><span class="sig-paren">(</span><em class="sig-param">n=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.WeibullDist.random" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a numpy array of n values drawn from the distribution.
-If n is None then a single scalar value should be returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.WeibullDist.u">
-<code class="sig-name descname">u</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.WeibullDist.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<dl class="simple">
-<dt>Return a scalar “standard uncertainty” of the distribution (usually</dt><dd><p>the standard deviation).  This is used to get the <cite>u</cite> value of a
-gummy defined with the distribution.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.distributions.WeibullDist.x">
-<code class="sig-name descname">x</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.distributions.WeibullDist.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Override this method in a derived class</p>
-<p>Return a scalar “center” of the distribution.  This is used to
-get the <cite>x</cite> value of a gummy defined with the distribution.</p>
-</dd></dl>
-
-</dd></dl>
-
-</div>
-<div class="section" id="module-metrolopy.exceptions">
-<span id="metrolopy-exceptions-module"></span><h2>metrolopy.exceptions module<a class="headerlink" href="#module-metrolopy.exceptions" title="Permalink to this headline">¶</a></h2>
-<dl class="exception">
-<dt id="metrolopy.exceptions.BudgetWarning">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">BudgetWarning</code><a class="headerlink" href="#metrolopy.exceptions.BudgetWarning" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Warning</span></code></p>
-</dd></dl>
-
-<dl class="exception">
-<dt id="metrolopy.exceptions.CircularUnitConversionError">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">CircularUnitConversionError</code><a class="headerlink" href="#metrolopy.exceptions.CircularUnitConversionError" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.exceptions.UnitError" title="metrolopy.exceptions.UnitError"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.exceptions.UnitError</span></code></a></p>
-</dd></dl>
-
-<dl class="exception">
-<dt id="metrolopy.exceptions.FitWarning">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">FitWarning</code><a class="headerlink" href="#metrolopy.exceptions.FitWarning" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Warning</span></code></p>
-</dd></dl>
-
-<dl class="exception">
-<dt id="metrolopy.exceptions.GummyWarning">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">GummyWarning</code><a class="headerlink" href="#metrolopy.exceptions.GummyWarning" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Warning</span></code></p>
-</dd></dl>
-
-<dl class="exception">
-<dt id="metrolopy.exceptions.IncompatibleUnitsError">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">IncompatibleUnitsError</code><a class="headerlink" href="#metrolopy.exceptions.IncompatibleUnitsError" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">ValueError</span></code></p>
-<p>This exception is raised when an operation is attempted with gummys that
-have units that are incompatible for that operation.</p>
-</dd></dl>
-
-<dl class="exception">
-<dt id="metrolopy.exceptions.NoSimulatedDataError">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">NoSimulatedDataError</code><a class="headerlink" href="#metrolopy.exceptions.NoSimulatedDataError" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Exception</span></code></p>
-</dd></dl>
-
-<dl class="exception">
-<dt id="metrolopy.exceptions.NoUnitConversionFoundError">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">NoUnitConversionFoundError</code><a class="headerlink" href="#metrolopy.exceptions.NoUnitConversionFoundError" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.exceptions.UnitError" title="metrolopy.exceptions.UnitError"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.exceptions.UnitError</span></code></a></p>
-</dd></dl>
-
-<dl class="exception">
-<dt id="metrolopy.exceptions.UncertiantyPrecisionWarning">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">UncertiantyPrecisionWarning</code><a class="headerlink" href="#metrolopy.exceptions.UncertiantyPrecisionWarning" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Warning</span></code></p>
-</dd></dl>
-
-<dl class="exception">
-<dt id="metrolopy.exceptions.UnitError">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">UnitError</code><a class="headerlink" href="#metrolopy.exceptions.UnitError" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Exception</span></code></p>
-<p>Base class for Unit exceptions.</p>
-</dd></dl>
-
-<dl class="exception">
-<dt id="metrolopy.exceptions.UnitLibError">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">UnitLibError</code><a class="headerlink" href="#metrolopy.exceptions.UnitLibError" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.exceptions.UnitError" title="metrolopy.exceptions.UnitError"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.exceptions.UnitError</span></code></a></p>
-<p>This exception is raised when the UnitLibrary cannot parse a unit string.</p>
-</dd></dl>
-
-<dl class="exception">
-<dt id="metrolopy.exceptions.UnitLibNotFoundError">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">UnitLibNotFoundError</code><a class="headerlink" href="#metrolopy.exceptions.UnitLibNotFoundError" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.exceptions.UnitLibError" title="metrolopy.exceptions.UnitLibError"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.exceptions.UnitLibError</span></code></a></p>
-</dd></dl>
-
-<dl class="exception">
-<dt id="metrolopy.exceptions.UnitNotFoundError">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">UnitNotFoundError</code><a class="headerlink" href="#metrolopy.exceptions.UnitNotFoundError" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.exceptions.UnitLibError" title="metrolopy.exceptions.UnitLibError"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.exceptions.UnitLibError</span></code></a></p>
-</dd></dl>
-
-<dl class="exception">
-<dt id="metrolopy.exceptions.UnitWarning">
-<em class="property">exception </em><code class="sig-prename descclassname">metrolopy.exceptions.</code><code class="sig-name descname">UnitWarning</code><a class="headerlink" href="#metrolopy.exceptions.UnitWarning" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Warning</span></code></p>
-</dd></dl>
-
-</div>
-<div class="section" id="module-metrolopy.fit">
-<span id="metrolopy-fit-module"></span><h2>metrolopy.fit module<a class="headerlink" href="#module-metrolopy.fit" title="Permalink to this headline">¶</a></h2>
-<p>This module defines some classes to facilitate curve fitting.</p>
-<dl class="class">
-<dt id="metrolopy.fit.DoubleExpFit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.fit.</code><code class="sig-name descname">DoubleExpFit</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">y=None</em>, <em class="sig-param">p0=None</em>, <em class="sig-param">ux=None</em>, <em class="sig-param">uy=None</em>, <em class="sig-param">sigma_is_known=True</em>, <em class="sig-param">xunit=None</em>, <em class="sig-param">yunit=None</em>, <em class="sig-param">solver=None</em>, <em class="sig-param">maxiter=None</em>, <em class="sig-param">nprop=False</em>, <em class="sig-param">**kw</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.DoubleExpFit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.fit.Fit" title="metrolopy.fit.Fit"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.fit.Fit</span></code></a></p>
-<dl class="simple">
-<dt>DoubleExpFit(x,y,p0=None,ux=None,uy=None,sigma_is_known=True,xunit=None, yunit=None,</dt><dd><p>solver=None,maxiter=None,nprop=False,**keywords)</p>
-</dd>
-</dl>
-<p>Fits the x,y data to a function of the form:</p>
-<p>p[0]*np.exp(x/p[1])+p[2]*np.exp(x/p[3])+p[4]</p>
-<dl class="field-list">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul>
-<li><p><strong>x</strong> (<em>array_like</em>) – The x-coordinates of the data.  This is a list or numpy array of
-floats or gummys (all point must be of the same type, floats and gummys
-may not be mixed).</p></li>
-<li><p><strong>y</strong> (<em>array_like, optional</em>) – The y-coordinates of the data (the type requirements are the
-same as for the x-coordinates).</p></li>
-<li><p><strong>p0</strong> (array_like of <cite>float</cite>, optional) – The initial values for the fit parameters.</p></li>
-<li><p><strong>ux</strong> (<cite>float</cite>, array_like of <cite>float</cite>  or <cite>None</cite>, optional) – Uncertainty in the <cite>x</cite> values. This should not be specified if the <cite>x</cite>
-argument contains gummys.  If this is specified then only the odr
-solver may be used.  The default is <cite>None</cite>.</p></li>
-<li><p><strong>uy</strong> (<cite>float</cite>, array_like of <cite>float</cite>  or <cite>None</cite>, optional) – Uncertainty in the <cite>y</cite> values. This should not be specified if the y
-argument contains gummys.  The default is <cite>None</cite>.</p></li>
-<li><p><strong>sigma_is_known</strong> (<cite>bool</cite>, optional) – If this is <cite>True</cite> then any uncertainties in the data  (either as
-gummys in the <cite>x</cite> or <cite>y</cite> values or in the ux or uy parameters)
-are used to calculate the uncertainties in the fit.  Otherwise,
-the uncertainties are based on the standard deviation of the
-residuals and the uncertainties in the data are used only for
-weighting the data points.  The default value is <cite>True</cite>. This
-parameter is ignored if <cite>nprop</cite> is <cite>True</cite>.</p></li>
-<li><p><strong>xunits, yunits</strong> (<cite>str</cite> or <cite>None</cite>, optional) – units for the x and y coordinates. These should not be specified
-if the <cite>x</cite> and <cite>y</cite> parameters contain gummys. These may only be
-specified if the <cite>get_punits</cite> method is overridden in a subclass.</p></li>
-<li><p><strong>solver</strong> (<em>{‘nls’,’odr’}, optional</em>) – If this is ‘nls’ then <cite>scipy.optimize.leastsq</cite> is used to perform
-the fit.  If it is ‘odr’ then <cite>scipy.odr</cite> is used.  ‘nls’ may not
-be used if the y-coordinate is <cite>None</cite> or multi-dimensional or if
-there is uncertainty in the x-coordinates.  If this is <cite>None</cite>,
-then ‘nls’ will be used when possible.</p></li>
-<li><p><strong>maxiter</strong> (<cite>int</cite> or <cite>None</cite>, optional) – The maximum number of iterations that the solver may use. If this
-is <cite>None</cite> or omitted then the default value for the solver will
-be used.</p></li>
-<li><p><strong>nprop</strong> (<cite>bool</cite>, optional) –</p>
-<dl class="simple">
-<dt>If this is <cite>True</cite> then uncertainties in the fit will be numerically</dt><dd><p>calculated by varying each data point. This will not work if there
-are more than a few data points or if the it is not very stable.
-If this is False than the covariance matrix generated by the solver
-will be used to calculate the uncertainties.  The default value is
-<cite>False</cite></p>
-</dd>
-</dl>
-</li>
-<li><p><strong>other keywords</strong> (<em>optional</em>) – Any additional keyword parameters will be passed to the solver.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.p">
-<code class="sig-name descname">p</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.p" title="Permalink to this definition">¶</a></dt>
-<dd><p>The fitted values for the fit function parameters as gummys</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.pf">
-<code class="sig-name descname">pf</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.pf" title="Permalink to this definition">¶</a></dt>
-<dd><p>The fitted values for the fit function parameters as floats</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.res">
-<code class="sig-name descname">res</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.res" title="Permalink to this definition">¶</a></dt>
-<dd><p>the fit residuals</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.s">
-<code class="sig-name descname">s</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.s" title="Permalink to this definition">¶</a></dt>
-<dd><p>the standard deviation (or, when there are uncertainties for
-the input data, the square root of the reduced chi-squared) of
-the residuals</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.cov">
-<code class="sig-name descname">cov</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.cov" title="Permalink to this definition">¶</a></dt>
-<dd><p>the covariance matrix generated by the solver</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.fit_output">
-<code class="sig-name descname">fit_output</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.fit_output" title="Permalink to this definition">¶</a></dt>
-<dd><p>the raw output of the solver</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.x">
-<code class="sig-name descname">x</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the x-coordinates of the data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite> or of <cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.xf">
-<code class="sig-name descname">xf</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.xf" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the x-coordinates of the data as floats</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.xdim">
-<code class="sig-name descname">xdim</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.xdim" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of dimensions of the x-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.ux">
-<code class="sig-name descname">ux</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.ux" title="Permalink to this definition">¶</a></dt>
-<dd><p>uncertainties in the x-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>float</cite>, <cite>numpy.ndarray</cite> of <cite>floats</cite> or <cite>None</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.y">
-<code class="sig-name descname">y</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.y" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the y-coordinates of the data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite> or of <cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.yf">
-<code class="sig-name descname">yf</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.yf" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the y-coordinates of the data as floats</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.ydim">
-<code class="sig-name descname">ydim</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.ydim" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of dimensions of the y-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.uy">
-<code class="sig-name descname">uy</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.uy" title="Permalink to this definition">¶</a></dt>
-<dd><p>uncertainties in the y-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>float</cite>, <cite>numpy.ndarray</cite> of <cite>floats</cite> or <cite>None</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.count">
-<code class="sig-name descname">count</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.count" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of data points</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.p0">
-<code class="sig-name descname">p0</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.p0" title="Permalink to this definition">¶</a></dt>
-<dd><p>the initial values for the fit function parameters</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.solver">
-<code class="sig-name descname">solver</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.solver" title="Permalink to this definition">¶</a></dt>
-<dd><p>the solver used</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>str</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.punits">
-<code class="sig-name descname">punits</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.punits" title="Permalink to this definition">¶</a></dt>
-<dd><p>the units of the fit parameters</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>Unit</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.DoubleExpFit.nparam">
-<code class="sig-name descname">nparam</code><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.nparam" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of fit parameters</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt>
-<code class="sig-name descname">ypred(x1,x2,...):</code></dt>
-<dd><p>Takes <cite>xdim</cite> floats and returns a gummy representing the predicted
-value at that x-coordinate.</p>
-</dd></dl>
-
-<dl class="method">
-<dt>
-<code class="sig-name descname">ypredf(x1,x2,...):</code></dt>
-<dd><p>Takes <cite>xdim</cite> floats and returns a float giving the  predicted value
-at that x-coordinate.</p>
-</dd></dl>
-
-<dl class="method">
-<dt>
-<code class="sig-name descname">plot(...):</code></dt>
-<dd><p>plots the data (only available if x and y are one-dimensional)</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.DoubleExpFit.f">
-<code class="sig-name descname">f</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">p1</em>, <em class="sig-param">p2</em>, <em class="sig-param">p3</em>, <em class="sig-param">p4</em>, <em class="sig-param">p5</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.f" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, implemented this in a derived class.</p>
-<p>The function to fit.</p>
-<p>It must either have signature:</p>
-<p>f(self,x,p1,p2,…,pn)</p>
-<p>where there are p1 to pn are the n fit parameters and the independent
-variable x has one dimension, or:</p>
-<p>f(self,x1,x2,…,xm,p1,p2,…,pn)</p>
-<p>where the independent variable x has m dimensions at each observation.</p>
-<p>f should return either a float or a 1-d array of floats depending on the
-dimension of the response variable.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.DoubleExpFit.fhtml">
-<code class="sig-name descname">fhtml</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.fhtml" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing an html representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.DoubleExpFit.flatex">
-<code class="sig-name descname">flatex</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.flatex" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing a latex representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.DoubleExpFit.funicode">
-<code class="sig-name descname">funicode</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.funicode" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing a unicode representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.DoubleExpFit.get_p0">
-<code class="sig-name descname">get_p0</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.get_p0" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns an initial guess for the the fit parameters [p1,p2,…] based
-on the input x and y data.</p>
-<p>If this method is not implemented then the inital values must be passed
-in the p0 parameter when the instance is created.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.DoubleExpFit.get_punits">
-<code class="sig-name descname">get_punits</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.get_punits" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a list of units for each fit parameter [p1,p2,…] based on the
-units of the input data.</p>
-<p>If this is not implemented then only dimensionless data (with unit one)
-may be fit.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.DoubleExpFit.jac">
-<code class="sig-name descname">jac</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">p1</em>, <em class="sig-param">p2</em>, <em class="sig-param">p3</em>, <em class="sig-param">p4</em>, <em class="sig-param">p5</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.DoubleExpFit.jac" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>The Jacobian of the fit function.</p>
-<p>If this method throws a <cite>NotImplementedError</cite> the derivatives will be
-calculated numerically.</p>
-<p>It must have the same signature as the f method and return a list
-of derivatives of the form:</p>
-<p>[df/dx1,df/dx2,…,df/dp1,df/dp2,…]</p>
-<p>if f returns a scalar or:</p>
-<dl class="simple">
-<dt>[[df1/dx1,df1/dx2,…,df1/dp1,df1/dp2,…],</dt><dd><p>[df2/dx1,df2/dx2,…,df2/dp1,df2/dp2,…],…]</p>
-</dd>
-</dl>
-<p>if f returns a 1-d array [f1,f2,…].</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.fit.ExpFit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.fit.</code><code class="sig-name descname">ExpFit</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">y=None</em>, <em class="sig-param">p0=None</em>, <em class="sig-param">ux=None</em>, <em class="sig-param">uy=None</em>, <em class="sig-param">sigma_is_known=True</em>, <em class="sig-param">xunit=None</em>, <em class="sig-param">yunit=None</em>, <em class="sig-param">solver=None</em>, <em class="sig-param">maxiter=None</em>, <em class="sig-param">nprop=False</em>, <em class="sig-param">**kw</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.ExpFit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.fit.Fit" title="metrolopy.fit.Fit"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.fit.Fit</span></code></a></p>
-<dl class="simple">
-<dt>ExpFit(x,y,p0=None,ux=None,uy=None,sigma_is_known=True,xunit=None, yunit=None,</dt><dd><p>solver=None,maxiter=None,nprop=False,**keywords)</p>
-</dd>
-</dl>
-<p>Fits the x,y data to a function of the form:</p>
-<p>p[0]*np.exp(x/p[1])+p[2]</p>
-<dl class="field-list">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul>
-<li><p><strong>x</strong> (<em>array_like</em>) – The x-coordinates of the data.  This is a list or numpy array of
-floats or gummys (all point must be of the same type, floats and gummys
-may not be mixed).</p></li>
-<li><p><strong>y</strong> (<em>array_like, optional</em>) – The y-coordinates of the data (the type requirements are the
-same as for the x-coordinates).</p></li>
-<li><p><strong>p0</strong> (array_like of <cite>float</cite>, optional) – The initial values for the fit parameters.</p></li>
-<li><p><strong>ux</strong> (<cite>float</cite>, array_like of <cite>float</cite>  or <cite>None</cite>, optional) – Uncertainty in the <cite>x</cite> values. This should not be specified if the <cite>x</cite>
-argument contains gummys.  If this is specified then only the odr
-solver may be used.  The default is <cite>None</cite>.</p></li>
-<li><p><strong>uy</strong> (<cite>float</cite>, array_like of <cite>float</cite>  or <cite>None</cite>, optional) – Uncertainty in the <cite>y</cite> values. This should not be specified if the y
-argument contains gummys.  The default is <cite>None</cite>.</p></li>
-<li><p><strong>sigma_is_known</strong> (<cite>bool</cite>, optional) – If this is <cite>True</cite> then any uncertainties in the data  (either as
-gummys in the <cite>x</cite> or <cite>y</cite> values or in the ux or uy parameters)
-are used to calculate the uncertainties in the fit.  Otherwise,
-the uncertainties are based on the standard deviation of the
-residuals and the uncertainties in the data are used only for
-weighting the data points.  The default value is <cite>True</cite>. This
-parameter is ignored if <cite>nprop</cite> is <cite>True</cite>.</p></li>
-<li><p><strong>xunits, yunits</strong> (<cite>str</cite> or <cite>None</cite>, optional) – units for the x and y coordinates. These should not be specified
-if the <cite>x</cite> and <cite>y</cite> parameters contain gummys. These may only be
-specified if the <cite>get_punits</cite> method is overridden in a subclass.</p></li>
-<li><p><strong>solver</strong> (<em>{‘nls’,’odr’}, optional</em>) – If this is ‘nls’ then <cite>scipy.optimize.leastsq</cite> is used to perform
-the fit.  If it is ‘odr’ then <cite>scipy.odr</cite> is used.  ‘nls’ may not
-be used if the y-coordinate is <cite>None</cite> or multi-dimensional or if
-there is uncertainty in the x-coordinates.  If this is <cite>None</cite>,
-then ‘nls’ will be used when possible.</p></li>
-<li><p><strong>maxiter</strong> (<cite>int</cite> or <cite>None</cite>, optional) – The maximum number of iterations that the solver may use. If this
-is <cite>None</cite> or omitted then the default value for the solver will
-be used.</p></li>
-<li><p><strong>nprop</strong> (<cite>bool</cite>, optional) –</p>
-<dl class="simple">
-<dt>If this is <cite>True</cite> then uncertainties in the fit will be numerically</dt><dd><p>calculated by varying each data point. This will not work if there
-are more than a few data points or if the it is not very stable.
-If this is False than the covariance matrix generated by the solver
-will be used to calculate the uncertainties.  The default value is
-<cite>False</cite></p>
-</dd>
-</dl>
-</li>
-<li><p><strong>other keywords</strong> (<em>optional</em>) – Any additional keyword parameters will be passed to the solver.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.p">
-<code class="sig-name descname">p</code><a class="headerlink" href="#metrolopy.fit.ExpFit.p" title="Permalink to this definition">¶</a></dt>
-<dd><p>The fitted values for the fit function parameters as gummys</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.pf">
-<code class="sig-name descname">pf</code><a class="headerlink" href="#metrolopy.fit.ExpFit.pf" title="Permalink to this definition">¶</a></dt>
-<dd><p>The fitted values for the fit function parameters as floats</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.res">
-<code class="sig-name descname">res</code><a class="headerlink" href="#metrolopy.fit.ExpFit.res" title="Permalink to this definition">¶</a></dt>
-<dd><p>the fit residuals</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.s">
-<code class="sig-name descname">s</code><a class="headerlink" href="#metrolopy.fit.ExpFit.s" title="Permalink to this definition">¶</a></dt>
-<dd><p>the standard deviation (or, when there are uncertainties for
-the input data, the square root of the reduced chi-squared) of
-the residuals</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.cov">
-<code class="sig-name descname">cov</code><a class="headerlink" href="#metrolopy.fit.ExpFit.cov" title="Permalink to this definition">¶</a></dt>
-<dd><p>the covariance matrix generated by the solver</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.fit_output">
-<code class="sig-name descname">fit_output</code><a class="headerlink" href="#metrolopy.fit.ExpFit.fit_output" title="Permalink to this definition">¶</a></dt>
-<dd><p>the raw output of the solver</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.x">
-<code class="sig-name descname">x</code><a class="headerlink" href="#metrolopy.fit.ExpFit.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the x-coordinates of the data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite> or of <cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.xf">
-<code class="sig-name descname">xf</code><a class="headerlink" href="#metrolopy.fit.ExpFit.xf" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the x-coordinates of the data as floats</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.xdim">
-<code class="sig-name descname">xdim</code><a class="headerlink" href="#metrolopy.fit.ExpFit.xdim" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of dimensions of the x-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.ux">
-<code class="sig-name descname">ux</code><a class="headerlink" href="#metrolopy.fit.ExpFit.ux" title="Permalink to this definition">¶</a></dt>
-<dd><p>uncertainties in the x-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>float</cite>, <cite>numpy.ndarray</cite> of <cite>floats</cite> or <cite>None</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.y">
-<code class="sig-name descname">y</code><a class="headerlink" href="#metrolopy.fit.ExpFit.y" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the y-coordinates of the data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite> or of <cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.yf">
-<code class="sig-name descname">yf</code><a class="headerlink" href="#metrolopy.fit.ExpFit.yf" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the y-coordinates of the data as floats</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.ydim">
-<code class="sig-name descname">ydim</code><a class="headerlink" href="#metrolopy.fit.ExpFit.ydim" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of dimensions of the y-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.uy">
-<code class="sig-name descname">uy</code><a class="headerlink" href="#metrolopy.fit.ExpFit.uy" title="Permalink to this definition">¶</a></dt>
-<dd><p>uncertainties in the y-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>float</cite>, <cite>numpy.ndarray</cite> of <cite>floats</cite> or <cite>None</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.count">
-<code class="sig-name descname">count</code><a class="headerlink" href="#metrolopy.fit.ExpFit.count" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of data points</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.p0">
-<code class="sig-name descname">p0</code><a class="headerlink" href="#metrolopy.fit.ExpFit.p0" title="Permalink to this definition">¶</a></dt>
-<dd><p>the initial values for the fit function parameters</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.solver">
-<code class="sig-name descname">solver</code><a class="headerlink" href="#metrolopy.fit.ExpFit.solver" title="Permalink to this definition">¶</a></dt>
-<dd><p>the solver used</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>str</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.punits">
-<code class="sig-name descname">punits</code><a class="headerlink" href="#metrolopy.fit.ExpFit.punits" title="Permalink to this definition">¶</a></dt>
-<dd><p>the units of the fit parameters</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>Unit</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.ExpFit.nparam">
-<code class="sig-name descname">nparam</code><a class="headerlink" href="#metrolopy.fit.ExpFit.nparam" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of fit parameters</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt>
-<code class="sig-name descname">ypred(x1,x2,...):</code></dt>
-<dd><p>Takes <cite>xdim</cite> floats and returns a gummy representing the predicted
-value at that x-coordinate.</p>
-</dd></dl>
-
-<dl class="method">
-<dt>
-<code class="sig-name descname">ypredf(x1,x2,...):</code></dt>
-<dd><p>Takes <cite>xdim</cite> floats and returns a float giving the  predicted value
-at that x-coordinate.</p>
-</dd></dl>
-
-<dl class="method">
-<dt>
-<code class="sig-name descname">plot(...):</code></dt>
-<dd><p>plots the data (only available if x and y are one-dimensional)</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.ExpFit.f">
-<code class="sig-name descname">f</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">p1</em>, <em class="sig-param">p2</em>, <em class="sig-param">p3</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.ExpFit.f" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, implemented this in a derived class.</p>
-<p>The function to fit.</p>
-<p>It must either have signature:</p>
-<p>f(self,x,p1,p2,…,pn)</p>
-<p>where there are p1 to pn are the n fit parameters and the independent
-variable x has one dimension, or:</p>
-<p>f(self,x1,x2,…,xm,p1,p2,…,pn)</p>
-<p>where the independent variable x has m dimensions at each observation.</p>
-<p>f should return either a float or a 1-d array of floats depending on the
-dimension of the response variable.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.ExpFit.fhtml">
-<code class="sig-name descname">fhtml</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.ExpFit.fhtml" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing an html representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.ExpFit.flatex">
-<code class="sig-name descname">flatex</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.ExpFit.flatex" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing a latex representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.ExpFit.funicode">
-<code class="sig-name descname">funicode</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.ExpFit.funicode" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing a unicode representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.ExpFit.get_p0">
-<code class="sig-name descname">get_p0</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.ExpFit.get_p0" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns an initial guess for the the fit parameters [p1,p2,…] based
-on the input x and y data.</p>
-<p>If this method is not implemented then the inital values must be passed
-in the p0 parameter when the instance is created.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.ExpFit.get_punits">
-<code class="sig-name descname">get_punits</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.ExpFit.get_punits" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a list of units for each fit parameter [p1,p2,…] based on the
-units of the input data.</p>
-<p>If this is not implemented then only dimensionless data (with unit one)
-may be fit.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.ExpFit.jac">
-<code class="sig-name descname">jac</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">p1</em>, <em class="sig-param">p2</em>, <em class="sig-param">p3</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.ExpFit.jac" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>The Jacobian of the fit function.</p>
-<p>If this method throws a <cite>NotImplementedError</cite> the derivatives will be
-calculated numerically.</p>
-<p>It must have the same signature as the f method and return a list
-of derivatives of the form:</p>
-<p>[df/dx1,df/dx2,…,df/dp1,df/dp2,…]</p>
-<p>if f returns a scalar or:</p>
-<dl class="simple">
-<dt>[[df1/dx1,df1/dx2,…,df1/dp1,df1/dp2,…],</dt><dd><p>[df2/dx1,df2/dx2,…,df2/dp1,df2/dp2,…],…]</p>
-</dd>
-</dl>
-<p>if f returns a 1-d array [f1,f2,…].</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.fit.Fit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.fit.</code><code class="sig-name descname">Fit</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">y=None</em>, <em class="sig-param">p0=None</em>, <em class="sig-param">ux=None</em>, <em class="sig-param">uy=None</em>, <em class="sig-param">sigma_is_known=True</em>, <em class="sig-param">xunit=None</em>, <em class="sig-param">yunit=None</em>, <em class="sig-param">solver=None</em>, <em class="sig-param">maxiter=None</em>, <em class="sig-param">nprop=False</em>, <em class="sig-param">**kw</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.fit._Fit</span></code>, <a class="reference internal" href="#metrolopy.printing.PrettyPrinter" title="metrolopy.printing.PrettyPrinter"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.printing.PrettyPrinter</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.fit.Fit.f">
-<code class="sig-name descname">f</code><span class="sig-paren">(</span><em class="sig-param">*a</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.f" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, implemented this in a derived class.</p>
-<p>The function to fit.</p>
-<p>It must either have signature:</p>
-<p>f(self,x,p1,p2,…,pn)</p>
-<p>where there are p1 to pn are the n fit parameters and the independent
-variable x has one dimension, or:</p>
-<p>f(self,x1,x2,…,xm,p1,p2,…,pn)</p>
-<p>where the independent variable x has m dimensions at each observation.</p>
-<p>f should return either a float or a 1-d array of floats depending on the
-dimension of the response variable.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.fhtml">
-<code class="sig-name descname">fhtml</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.fhtml" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing an html representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.flatex">
-<code class="sig-name descname">flatex</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.flatex" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing a latex representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.funicode">
-<code class="sig-name descname">funicode</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.funicode" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing a unicode representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.get_p0">
-<code class="sig-name descname">get_p0</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.get_p0" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns an initial guess for the the fit parameters [p1,p2,…] based
-on the input x and y data.</p>
-<p>If this method is not implemented then the inital values must be passed
-in the p0 parameter when the instance is created.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.get_punits">
-<code class="sig-name descname">get_punits</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.get_punits" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a list of units for each fit parameter [p1,p2,…] based on the
-units of the input data.</p>
-<p>If this is not implemented then only dimensionless data (with unit one)
-may be fit.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.html">
-<code class="sig-name descname">html</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.html" title="Permalink to this definition">¶</a></dt>
-<dd><p>If called from an IPython or Jupyter console, prints the fit function
-and best fit parameters with the html interpreter.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.jac">
-<code class="sig-name descname">jac</code><span class="sig-paren">(</span><em class="sig-param">*a</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.jac" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>The Jacobian of the fit function.</p>
-<p>If this method throws a <cite>NotImplementedError</cite> the derivatives will be
-calculated numerically.</p>
-<p>It must have the same signature as the f method and return a list
-of derivatives of the form:</p>
-<p>[df/dx1,df/dx2,…,df/dp1,df/dp2,…]</p>
-<p>if f returns a scalar or:</p>
-<dl class="simple">
-<dt>[[df1/dx1,df1/dx2,…,df1/dp1,df1/dp2,…],</dt><dd><p>[df2/dx1,df2/dx2,…,df2/dp1,df2/dp2,…],…]</p>
-</dd>
-</dl>
-<p>if f returns a 1-d array [f1,f2,…].</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.latex">
-<code class="sig-name descname">latex</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.latex" title="Permalink to this definition">¶</a></dt>
-<dd><p>If called from an IPython or Jupyter console, prints the fit function
-and best fit parameters with the latex interpreter.</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.Fit.latex_math">
-<code class="sig-name descname">latex_math</code><em class="property"> = None</em><a class="headerlink" href="#metrolopy.fit.Fit.latex_math" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.ptostring">
-<code class="sig-name descname">ptostring</code><span class="sig-paren">(</span><em class="sig-param">fmt='unicode'</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.ptostring" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string that displays the fit parameters.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>fmt</strong> (<em>{‘unicode’, ‘ascii’, ‘latex’ or ‘html’}</em>) – format for the output</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.toascii">
-<code class="sig-name descname">toascii</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.toascii" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string containing an ascii representation of the fit function
-and the best fit parameters.</p>
-<p>Equivalent to <code class="docutils literal notranslate"><span class="pre">Fit.tostring('ascii')</span></code>.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.tohtml">
-<code class="sig-name descname">tohtml</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.tohtml" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string containing an html representation of the fit function
-and the best fit parameters.</p>
-<p>Equivalent to <code class="docutils literal notranslate"><span class="pre">Fit.tostring('html')</span></code>.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.tolatex">
-<code class="sig-name descname">tolatex</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.tolatex" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string containing a latex representation of the fit function
-and the best fit parameters.</p>
-<p>Equivalent to <code class="docutils literal notranslate"><span class="pre">Fit.tostring('latex')</span></code>.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.tostring">
-<code class="sig-name descname">tostring</code><span class="sig-paren">(</span><em class="sig-param">fmt='unicode'</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.tostring" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string to display the fit function and fit parameters.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>fmt</strong> (<em>{‘unicode’, ‘ascii’, ‘latex’ or ‘html’}</em>) – format for the output</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.ypred">
-<code class="sig-name descname">ypred</code><span class="sig-paren">(</span><em class="sig-param">*x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.ypred" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns a gummy representing the value predicted by the fit at x</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.Fit.ypredf">
-<code class="sig-name descname">ypredf</code><span class="sig-paren">(</span><em class="sig-param">*x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.Fit.ypredf" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns a float representing the value predicted by the fit at x</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.fit.OneOverTFit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.fit.</code><code class="sig-name descname">OneOverTFit</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">y=None</em>, <em class="sig-param">p0=None</em>, <em class="sig-param">ux=None</em>, <em class="sig-param">uy=None</em>, <em class="sig-param">sigma_is_known=True</em>, <em class="sig-param">xunit=None</em>, <em class="sig-param">yunit=None</em>, <em class="sig-param">solver=None</em>, <em class="sig-param">maxiter=None</em>, <em class="sig-param">nprop=False</em>, <em class="sig-param">**kw</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.OneOverTFit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.fit.Fit" title="metrolopy.fit.Fit"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.fit.Fit</span></code></a></p>
-<dl class="simple">
-<dt>DoubleExpFit(x,y,p0=None,ux=None,uy=None,sigma_is_known=True,xunit=None, yunit=None,</dt><dd><p>solver=None,maxiter=None,nprop=False,**keywords)</p>
-</dd>
-</dl>
-<p>Fits the x,y data to a function of the form:</p>
-<p>p[0]/x + p[1]</p>
-<dl class="field-list">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul>
-<li><p><strong>x</strong> (<em>array_like</em>) – The x-coordinates of the data.  This is a list or numpy array of
-floats or gummys (all point must be of the same type, floats and gummys
-may not be mixed).</p></li>
-<li><p><strong>y</strong> (<em>array_like, optional</em>) – The y-coordinates of the data (the type requirements are the
-same as for the x-coordinates).</p></li>
-<li><p><strong>p0</strong> (array_like of <cite>float</cite>, optional) – The initial values for the fit parameters.</p></li>
-<li><p><strong>ux</strong> (<cite>float</cite>, array_like of <cite>float</cite>  or <cite>None</cite>, optional) – Uncertainty in the <cite>x</cite> values. This should not be specified if the <cite>x</cite>
-argument contains gummys.  If this is specified then only the odr
-solver may be used.  The default is <cite>None</cite>.</p></li>
-<li><p><strong>uy</strong> (<cite>float</cite>, array_like of <cite>float</cite>  or <cite>None</cite>, optional) – Uncertainty in the <cite>y</cite> values. This should not be specified if the y
-argument contains gummys.  The default is <cite>None</cite>.</p></li>
-<li><p><strong>sigma_is_known</strong> (<cite>bool</cite>, optional) – If this is <cite>True</cite> then any uncertainties in the data  (either as
-gummys in the <cite>x</cite> or <cite>y</cite> values or in the ux or uy parameters)
-are used to calculate the uncertainties in the fit.  Otherwise,
-the uncertainties are based on the standard deviation of the
-residuals and the uncertainties in the data are used only for
-weighting the data points.  The default value is <cite>True</cite>. This
-parameter is ignored if <cite>nprop</cite> is <cite>True</cite>.</p></li>
-<li><p><strong>xunits, yunits</strong> (<cite>str</cite> or <cite>None</cite>, optional) – units for the x and y coordinates. These should not be specified
-if the <cite>x</cite> and <cite>y</cite> parameters contain gummys. These may only be
-specified if the <cite>get_punits</cite> method is overridden in a subclass.</p></li>
-<li><p><strong>solver</strong> (<em>{‘nls’,’odr’}, optional</em>) – If this is ‘nls’ then <cite>scipy.optimize.leastsq</cite> is used to perform
-the fit.  If it is ‘odr’ then <cite>scipy.odr</cite> is used.  ‘nls’ may not
-be used if the y-coordinate is <cite>None</cite> or multi-dimensional or if
-there is uncertainty in the x-coordinates.  If this is <cite>None</cite>,
-then ‘nls’ will be used when possible.</p></li>
-<li><p><strong>maxiter</strong> (<cite>int</cite> or <cite>None</cite>, optional) – The maximum number of iterations that the solver may use. If this
-is <cite>None</cite> or omitted then the default value for the solver will
-be used.</p></li>
-<li><p><strong>nprop</strong> (<cite>bool</cite>, optional) –</p>
-<dl class="simple">
-<dt>If this is <cite>True</cite> then uncertainties in the fit will be numerically</dt><dd><p>calculated by varying each data point. This will not work if there
-are more than a few data points or if the it is not very stable.
-If this is False than the covariance matrix generated by the solver
-will be used to calculate the uncertainties.  The default value is
-<cite>False</cite></p>
-</dd>
-</dl>
-</li>
-<li><p><strong>other keywords</strong> (<em>optional</em>) – Any additional keyword parameters will be passed to the solver.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.p">
-<code class="sig-name descname">p</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.p" title="Permalink to this definition">¶</a></dt>
-<dd><p>The fitted values for the fit function parameters as gummys</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.pf">
-<code class="sig-name descname">pf</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.pf" title="Permalink to this definition">¶</a></dt>
-<dd><p>The fitted values for the fit function parameters as floats</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.res">
-<code class="sig-name descname">res</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.res" title="Permalink to this definition">¶</a></dt>
-<dd><p>the fit residuals</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.s">
-<code class="sig-name descname">s</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.s" title="Permalink to this definition">¶</a></dt>
-<dd><p>the standard deviation (or, when there are uncertainties for
-the input data, the square root of the reduced chi-squared) of
-the residuals</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.cov">
-<code class="sig-name descname">cov</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.cov" title="Permalink to this definition">¶</a></dt>
-<dd><p>the covariance matrix generated by the solver</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.fit_output">
-<code class="sig-name descname">fit_output</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.fit_output" title="Permalink to this definition">¶</a></dt>
-<dd><p>the raw output of the solver</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.x">
-<code class="sig-name descname">x</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the x-coordinates of the data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite> or of <cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.xf">
-<code class="sig-name descname">xf</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.xf" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the x-coordinates of the data as floats</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.xdim">
-<code class="sig-name descname">xdim</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.xdim" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of dimensions of the x-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.ux">
-<code class="sig-name descname">ux</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.ux" title="Permalink to this definition">¶</a></dt>
-<dd><p>uncertainties in the x-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>float</cite>, <cite>numpy.ndarray</cite> of <cite>floats</cite> or <cite>None</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.y">
-<code class="sig-name descname">y</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.y" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the y-coordinates of the data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite> or of <cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.yf">
-<code class="sig-name descname">yf</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.yf" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the y-coordinates of the data as floats</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.ydim">
-<code class="sig-name descname">ydim</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.ydim" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of dimensions of the y-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.uy">
-<code class="sig-name descname">uy</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.uy" title="Permalink to this definition">¶</a></dt>
-<dd><p>uncertainties in the y-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>float</cite>, <cite>numpy.ndarray</cite> of <cite>floats</cite> or <cite>None</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.count">
-<code class="sig-name descname">count</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.count" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of data points</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.p0">
-<code class="sig-name descname">p0</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.p0" title="Permalink to this definition">¶</a></dt>
-<dd><p>the initial values for the fit function parameters</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.solver">
-<code class="sig-name descname">solver</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.solver" title="Permalink to this definition">¶</a></dt>
-<dd><p>the solver used</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>str</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.punits">
-<code class="sig-name descname">punits</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.punits" title="Permalink to this definition">¶</a></dt>
-<dd><p>the units of the fit parameters</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>Unit</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.OneOverTFit.nparam">
-<code class="sig-name descname">nparam</code><a class="headerlink" href="#metrolopy.fit.OneOverTFit.nparam" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of fit parameters</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt>
-<code class="sig-name descname">ypred(x1,x2,...):</code></dt>
-<dd><p>Takes <cite>xdim</cite> floats and returns a gummy representing the predicted
-value at that x-coordinate.</p>
-</dd></dl>
-
-<dl class="method">
-<dt>
-<code class="sig-name descname">ypredf(x1,x2,...):</code></dt>
-<dd><p>Takes <cite>xdim</cite> floats and returns a float giving the  predicted value
-at that x-coordinate.</p>
-</dd></dl>
-
-<dl class="method">
-<dt>
-<code class="sig-name descname">plot(...):</code></dt>
-<dd><p>plots the data (only available if x and y are one-dimensional)</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.OneOverTFit.f">
-<code class="sig-name descname">f</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">p1</em>, <em class="sig-param">p2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.OneOverTFit.f" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, implemented this in a derived class.</p>
-<p>The function to fit.</p>
-<p>It must either have signature:</p>
-<p>f(self,x,p1,p2,…,pn)</p>
-<p>where there are p1 to pn are the n fit parameters and the independent
-variable x has one dimension, or:</p>
-<p>f(self,x1,x2,…,xm,p1,p2,…,pn)</p>
-<p>where the independent variable x has m dimensions at each observation.</p>
-<p>f should return either a float or a 1-d array of floats depending on the
-dimension of the response variable.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.OneOverTFit.fhtml">
-<code class="sig-name descname">fhtml</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.OneOverTFit.fhtml" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing an html representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.OneOverTFit.flatex">
-<code class="sig-name descname">flatex</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.OneOverTFit.flatex" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing a latex representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.OneOverTFit.funicode">
-<code class="sig-name descname">funicode</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.OneOverTFit.funicode" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing a unicode representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.OneOverTFit.get_p0">
-<code class="sig-name descname">get_p0</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.OneOverTFit.get_p0" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns an initial guess for the the fit parameters [p1,p2,…] based
-on the input x and y data.</p>
-<p>If this method is not implemented then the inital values must be passed
-in the p0 parameter when the instance is created.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.OneOverTFit.get_punits">
-<code class="sig-name descname">get_punits</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.OneOverTFit.get_punits" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a list of units for each fit parameter [p1,p2,…] based on the
-units of the input data.</p>
-<p>If this is not implemented then only dimensionless data (with unit one)
-may be fit.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.OneOverTFit.jac">
-<code class="sig-name descname">jac</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">p1</em>, <em class="sig-param">p2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.OneOverTFit.jac" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>The Jacobian of the fit function.</p>
-<p>If this method throws a <cite>NotImplementedError</cite> the derivatives will be
-calculated numerically.</p>
-<p>It must have the same signature as the f method and return a list
-of derivatives of the form:</p>
-<p>[df/dx1,df/dx2,…,df/dp1,df/dp2,…]</p>
-<p>if f returns a scalar or:</p>
-<dl class="simple">
-<dt>[[df1/dx1,df1/dx2,…,df1/dp1,df1/dp2,…],</dt><dd><p>[df2/dx1,df2/dx2,…,df2/dp1,df2/dp2,…],…]</p>
-</dd>
-</dl>
-<p>if f returns a 1-d array [f1,f2,…].</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.fit.PolyFit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.fit.</code><code class="sig-name descname">PolyFit</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">y</em>, <em class="sig-param">deg=1</em>, <em class="sig-param">ux=None</em>, <em class="sig-param">uy=None</em>, <em class="sig-param">sigma_is_known=True</em>, <em class="sig-param">p0=None</em>, <em class="sig-param">xunit=None</em>, <em class="sig-param">yunit=None</em>, <em class="sig-param">solver=None</em>, <em class="sig-param">maxiter=None</em>, <em class="sig-param">nprop=False</em>, <em class="sig-param">**kw</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.PolyFit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.fit.Fit" title="metrolopy.fit.Fit"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.fit.Fit</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.fit.PolyFit.f">
-<code class="sig-name descname">f</code><span class="sig-paren">(</span><em class="sig-param">*a</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.PolyFit.f" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, implemented this in a derived class.</p>
-<p>The function to fit.</p>
-<p>It must either have signature:</p>
-<p>f(self,x,p1,p2,…,pn)</p>
-<p>where there are p1 to pn are the n fit parameters and the independent
-variable x has one dimension, or:</p>
-<p>f(self,x1,x2,…,xm,p1,p2,…,pn)</p>
-<p>where the independent variable x has m dimensions at each observation.</p>
-<p>f should return either a float or a 1-d array of floats depending on the
-dimension of the response variable.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.PolyFit.fhtml">
-<code class="sig-name descname">fhtml</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.PolyFit.fhtml" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing an html representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.PolyFit.flatex">
-<code class="sig-name descname">flatex</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.PolyFit.flatex" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing a latex representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.PolyFit.funicode">
-<code class="sig-name descname">funicode</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.PolyFit.funicode" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing a unicode representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.PolyFit.get_p0">
-<code class="sig-name descname">get_p0</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.PolyFit.get_p0" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns an initial guess for the the fit parameters [p1,p2,…] based
-on the input x and y data.</p>
-<p>If this method is not implemented then the inital values must be passed
-in the p0 parameter when the instance is created.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.PolyFit.get_punits">
-<code class="sig-name descname">get_punits</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.PolyFit.get_punits" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a list of units for each fit parameter [p1,p2,…] based on the
-units of the input data.</p>
-<p>If this is not implemented then only dimensionless data (with unit one)
-may be fit.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.PolyFit.jac">
-<code class="sig-name descname">jac</code><span class="sig-paren">(</span><em class="sig-param">*a</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.PolyFit.jac" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>The Jacobian of the fit function.</p>
-<p>If this method throws a <cite>NotImplementedError</cite> the derivatives will be
-calculated numerically.</p>
-<p>It must have the same signature as the f method and return a list
-of derivatives of the form:</p>
-<p>[df/dx1,df/dx2,…,df/dp1,df/dp2,…]</p>
-<p>if f returns a scalar or:</p>
-<dl class="simple">
-<dt>[[df1/dx1,df1/dx2,…,df1/dp1,df1/dp2,…],</dt><dd><p>[df2/dx1,df2/dx2,…,df2/dp1,df2/dp2,…],…]</p>
-</dd>
-</dl>
-<p>if f returns a 1-d array [f1,f2,…].</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.fit.SinFit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.fit.</code><code class="sig-name descname">SinFit</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">y=None</em>, <em class="sig-param">p0=None</em>, <em class="sig-param">ux=None</em>, <em class="sig-param">uy=None</em>, <em class="sig-param">sigma_is_known=True</em>, <em class="sig-param">xunit=None</em>, <em class="sig-param">yunit=None</em>, <em class="sig-param">solver=None</em>, <em class="sig-param">maxiter=None</em>, <em class="sig-param">nprop=False</em>, <em class="sig-param">**kw</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.SinFit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.fit.Fit" title="metrolopy.fit.Fit"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.fit.Fit</span></code></a></p>
-<dl class="simple">
-<dt>SinFit(x,y,p0=None,ux=None,uy=None,sigma_is_known=True,xunit=None, yunit=None,</dt><dd><p>solver=None,maxiter=None,nprop=False,**keywords)</p>
-</dd>
-</dl>
-<p>Fits the x,y data to a function of the form:</p>
-<p>p[0]*sin(p[1]*x + p[2]) + p[3]</p>
-<dl class="field-list">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul>
-<li><p><strong>x</strong> (<em>array_like</em>) – The x-coordinates of the data.  This is a list or numpy array of
-floats or gummys (all point must be of the same type, floats and gummys
-may not be mixed).</p></li>
-<li><p><strong>y</strong> (<em>array_like, optional</em>) – The y-coordinates of the data (the type requirements are the
-same as for the x-coordinates).</p></li>
-<li><p><strong>p0</strong> (array_like of <cite>float</cite>, optional) – The initial values for the fit parameters.</p></li>
-<li><p><strong>ux</strong> (<cite>float</cite>, array_like of <cite>float</cite>  or <cite>None</cite>, optional) – Uncertainty in the <cite>x</cite> values. This should not be specified if the <cite>x</cite>
-argument contains gummys.  If this is specified then only the odr
-solver may be used.  The default is <cite>None</cite>.</p></li>
-<li><p><strong>uy</strong> (<cite>float</cite>, array_like of <cite>float</cite>  or <cite>None</cite>, optional) – Uncertainty in the <cite>y</cite> values. This should not be specified if the y
-argument contains gummys.  The default is <cite>None</cite>.</p></li>
-<li><p><strong>sigma_is_known</strong> (<cite>bool</cite>, optional) – If this is <cite>True</cite> then any uncertainties in the data  (either as
-gummys in the <cite>x</cite> or <cite>y</cite> values or in the ux or uy parameters)
-are used to calculate the uncertainties in the fit.  Otherwise,
-the uncertainties are based on the standard deviation of the
-residuals and the uncertainties in the data are used only for
-weighting the data points.  The default value is <cite>True</cite>. This
-parameter is ignored if <cite>nprop</cite> is <cite>True</cite>.</p></li>
-<li><p><strong>xunits, yunits</strong> (<cite>str</cite> or <cite>None</cite>, optional) – units for the x and y coordinates. These should not be specified
-if the <cite>x</cite> and <cite>y</cite> parameters contain gummys. These may only be
-specified if the <cite>get_punits</cite> method is overridden in a subclass.</p></li>
-<li><p><strong>solver</strong> (<em>{‘nls’,’odr’}, optional</em>) – If this is ‘nls’ then <cite>scipy.optimize.leastsq</cite> is used to perform
-the fit.  If it is ‘odr’ then <cite>scipy.odr</cite> is used.  ‘nls’ may not
-be used if the y-coordinate is <cite>None</cite> or multi-dimensional or if
-there is uncertainty in the x-coordinates.  If this is <cite>None</cite>,
-then ‘nls’ will be used when possible.</p></li>
-<li><p><strong>maxiter</strong> (<cite>int</cite> or <cite>None</cite>, optional) – The maximum number of iterations that the solver may use. If this
-is <cite>None</cite> or omitted then the default value for the solver will
-be used.</p></li>
-<li><p><strong>nprop</strong> (<cite>bool</cite>, optional) –</p>
-<dl class="simple">
-<dt>If this is <cite>True</cite> then uncertainties in the fit will be numerically</dt><dd><p>calculated by varying each data point. This will not work if there
-are more than a few data points or if the it is not very stable.
-If this is False than the covariance matrix generated by the solver
-will be used to calculate the uncertainties.  The default value is
-<cite>False</cite></p>
-</dd>
-</dl>
-</li>
-<li><p><strong>other keywords</strong> (<em>optional</em>) – Any additional keyword parameters will be passed to the solver.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.p">
-<code class="sig-name descname">p</code><a class="headerlink" href="#metrolopy.fit.SinFit.p" title="Permalink to this definition">¶</a></dt>
-<dd><p>The fitted values for the fit function parameters as gummys</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.pf">
-<code class="sig-name descname">pf</code><a class="headerlink" href="#metrolopy.fit.SinFit.pf" title="Permalink to this definition">¶</a></dt>
-<dd><p>The fitted values for the fit function parameters as floats</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.res">
-<code class="sig-name descname">res</code><a class="headerlink" href="#metrolopy.fit.SinFit.res" title="Permalink to this definition">¶</a></dt>
-<dd><p>the fit residuals</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.s">
-<code class="sig-name descname">s</code><a class="headerlink" href="#metrolopy.fit.SinFit.s" title="Permalink to this definition">¶</a></dt>
-<dd><p>the standard deviation (or, when there are uncertainties for
-the input data, the square root of the reduced chi-squared) of
-the residuals</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.cov">
-<code class="sig-name descname">cov</code><a class="headerlink" href="#metrolopy.fit.SinFit.cov" title="Permalink to this definition">¶</a></dt>
-<dd><p>the covariance matrix generated by the solver</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.fit_output">
-<code class="sig-name descname">fit_output</code><a class="headerlink" href="#metrolopy.fit.SinFit.fit_output" title="Permalink to this definition">¶</a></dt>
-<dd><p>the raw output of the solver</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.x">
-<code class="sig-name descname">x</code><a class="headerlink" href="#metrolopy.fit.SinFit.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the x-coordinates of the data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite> or of <cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.xf">
-<code class="sig-name descname">xf</code><a class="headerlink" href="#metrolopy.fit.SinFit.xf" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the x-coordinates of the data as floats</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.xdim">
-<code class="sig-name descname">xdim</code><a class="headerlink" href="#metrolopy.fit.SinFit.xdim" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of dimensions of the x-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.ux">
-<code class="sig-name descname">ux</code><a class="headerlink" href="#metrolopy.fit.SinFit.ux" title="Permalink to this definition">¶</a></dt>
-<dd><p>uncertainties in the x-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>float</cite>, <cite>numpy.ndarray</cite> of <cite>floats</cite> or <cite>None</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.y">
-<code class="sig-name descname">y</code><a class="headerlink" href="#metrolopy.fit.SinFit.y" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the y-coordinates of the data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite> or of <cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.yf">
-<code class="sig-name descname">yf</code><a class="headerlink" href="#metrolopy.fit.SinFit.yf" title="Permalink to this definition">¶</a></dt>
-<dd><p>numpy array of the y-coordinates of the data as floats</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.ydim">
-<code class="sig-name descname">ydim</code><a class="headerlink" href="#metrolopy.fit.SinFit.ydim" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of dimensions of the y-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.uy">
-<code class="sig-name descname">uy</code><a class="headerlink" href="#metrolopy.fit.SinFit.uy" title="Permalink to this definition">¶</a></dt>
-<dd><p>uncertainties in the y-coordinates</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>float</cite>, <cite>numpy.ndarray</cite> of <cite>floats</cite> or <cite>None</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.count">
-<code class="sig-name descname">count</code><a class="headerlink" href="#metrolopy.fit.SinFit.count" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of data points</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.p0">
-<code class="sig-name descname">p0</code><a class="headerlink" href="#metrolopy.fit.SinFit.p0" title="Permalink to this definition">¶</a></dt>
-<dd><p>the initial values for the fit function parameters</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.solver">
-<code class="sig-name descname">solver</code><a class="headerlink" href="#metrolopy.fit.SinFit.solver" title="Permalink to this definition">¶</a></dt>
-<dd><p>the solver used</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>str</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.punits">
-<code class="sig-name descname">punits</code><a class="headerlink" href="#metrolopy.fit.SinFit.punits" title="Permalink to this definition">¶</a></dt>
-<dd><p>the units of the fit parameters</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>list</cite> of <cite>Unit</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.fit.SinFit.nparam">
-<code class="sig-name descname">nparam</code><a class="headerlink" href="#metrolopy.fit.SinFit.nparam" title="Permalink to this definition">¶</a></dt>
-<dd><p>the number of fit parameters</p>
-<dl class="field-list simple">
-<dt class="field-odd">Type</dt>
-<dd class="field-odd"><p><cite>int</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt>
-<code class="sig-name descname">ypred(x1,x2,...):</code></dt>
-<dd><p>Takes <cite>xdim</cite> floats and returns a gummy representing the predicted
-value at that x-coordinate.</p>
-</dd></dl>
-
-<dl class="method">
-<dt>
-<code class="sig-name descname">ypredf(x1,x2,...):</code></dt>
-<dd><p>Takes <cite>xdim</cite> floats and returns a float giving the  predicted value
-at that x-coordinate.</p>
-</dd></dl>
-
-<dl class="method">
-<dt>
-<code class="sig-name descname">plot(...):</code></dt>
-<dd><p>plots the data (only available if x and y are one-dimensional)</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.SinFit.f">
-<code class="sig-name descname">f</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">p1</em>, <em class="sig-param">p2</em>, <em class="sig-param">p3</em>, <em class="sig-param">p4</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.SinFit.f" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, implemented this in a derived class.</p>
-<p>The function to fit.</p>
-<p>It must either have signature:</p>
-<p>f(self,x,p1,p2,…,pn)</p>
-<p>where there are p1 to pn are the n fit parameters and the independent
-variable x has one dimension, or:</p>
-<p>f(self,x1,x2,…,xm,p1,p2,…,pn)</p>
-<p>where the independent variable x has m dimensions at each observation.</p>
-<p>f should return either a float or a 1-d array of floats depending on the
-dimension of the response variable.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.SinFit.fhtml">
-<code class="sig-name descname">fhtml</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.SinFit.fhtml" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing an html representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.SinFit.flatex">
-<code class="sig-name descname">flatex</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.SinFit.flatex" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing a latex representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.SinFit.funicode">
-<code class="sig-name descname">funicode</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.SinFit.funicode" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a string containing a unicode representation of the fit function.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.SinFit.get_p0">
-<code class="sig-name descname">get_p0</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.SinFit.get_p0" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns an initial guess for the the fit parameters [p1,p2,…] based
-on the input x and y data.</p>
-<p>If this method is not implemented then the inital values must be passed
-in the p0 parameter when the instance is created.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.SinFit.get_punits">
-<code class="sig-name descname">get_punits</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.SinFit.get_punits" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>Returns a list of units for each fit parameter [p1,p2,…] based on the
-units of the input data.</p>
-<p>If this is not implemented then only dimensionless data (with unit one)
-may be fit.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.fit.SinFit.jac">
-<code class="sig-name descname">jac</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">p1</em>, <em class="sig-param">p2</em>, <em class="sig-param">p3</em>, <em class="sig-param">p4</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.fit.SinFit.jac" title="Permalink to this definition">¶</a></dt>
-<dd><p>Not implemented, may optionally be implemented by a derived class.</p>
-<p>The Jacobian of the fit function.</p>
-<p>If this method throws a <cite>NotImplementedError</cite> the derivatives will be
-calculated numerically.</p>
-<p>It must have the same signature as the f method and return a list
-of derivatives of the form:</p>
-<p>[df/dx1,df/dx2,…,df/dp1,df/dp2,…]</p>
-<p>if f returns a scalar or:</p>
-<dl class="simple">
-<dt>[[df1/dx1,df1/dx2,…,df1/dp1,df1/dp2,…],</dt><dd><p>[df2/dx1,df2/dx2,…,df2/dp1,df2/dp2,…],…]</p>
-</dd>
-</dl>
-<p>if f returns a 1-d array [f1,f2,…].</p>
-</dd></dl>
-
-</dd></dl>
-
-</div>
-<div class="section" id="module-metrolopy.functions">
-<span id="metrolopy-functions-module"></span><h2>metrolopy.functions module<a class="headerlink" href="#module-metrolopy.functions" title="Permalink to this headline">¶</a></h2>
-<p>A number of mathematical functions are defined here that can be used with
-gummys.</p>
-<dl class="function">
-<dt id="metrolopy.functions.absolute">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">absolute</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.absolute" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the absoulte value of x where x can be float, complex, gummy or jummy.
-This is equivalent to abs(x).</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.add">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">add</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.add" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns x1 + x2</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.angle">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">angle</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.angle" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the complex argument of x, where x can be float, complex, gummy or
-jummy and the return value is a float if x is float or complex and gummy
-if x is gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.arccos">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">arccos</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.arccos" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the inverse cosine of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.arccosh">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">arccosh</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.arccosh" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the inverse hyperbolic cosine of x where x can be float, complex, gummy
-or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.arcsin">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">arcsin</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.arcsin" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the inverse sine of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.arcsinh">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">arcsinh</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.arcsinh" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the inverse hyperbolic sine of x where x can be float, complex, gummy
-or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.arctan">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">arctan</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.arctan" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the inverse tangent of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.arctan2">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">arctan2</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.arctan2" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the inverse tangent of x1/x2 choosing the quadrant correctly where
-x1 and x2 can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.arctanh">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">arctanh</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.arctanh" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the inverse hyperbolic tangent of x where x can be float, complex,
-gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.around">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">around</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">n=0</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.around" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns x rounded to n digits where x can be float, complex, gummy or jummy
-but n must be int.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.cbrt">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">cbrt</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.cbrt" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the cube root of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.ceil">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">ceil</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.ceil" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the ceiling of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.conj">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">conj</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.conj" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns x.conjugate(), the complex conjugate of x</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.cos">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">cos</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.cos" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the cosine of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.cosh">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">cosh</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.cosh" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the hyperbolic cosine of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.cross">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">cross</code><span class="sig-paren">(</span><em class="sig-param">*args</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.cross" title="Permalink to this definition">¶</a></dt>
-<dd><p>Alias for numpy.cross</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.cumprod">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">cumprod</code><span class="sig-paren">(</span><em class="sig-param">*args</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.cumprod" title="Permalink to this definition">¶</a></dt>
-<dd><p>Alias for numpy.cumprod</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.cumsum">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">cumsum</code><span class="sig-paren">(</span><em class="sig-param">*args</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.cumsum" title="Permalink to this definition">¶</a></dt>
-<dd><p>Alias for numpy.cumsum</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.diff">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">diff</code><span class="sig-paren">(</span><em class="sig-param">*args</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.diff" title="Permalink to this definition">¶</a></dt>
-<dd><p>Alias for numpy.diff</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.divide">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">divide</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.divide" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns x1 / x2</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.divmod">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">divmod</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.divmod" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns (x1 // x2, x1 % x2)</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.ediff1d">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">ediff1d</code><span class="sig-paren">(</span><em class="sig-param">*args</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.ediff1d" title="Permalink to this definition">¶</a></dt>
-<dd><p>Alias for numpy.ediff1d</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.exp">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">exp</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.exp" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns e to the power of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.exp2">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">exp2</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.exp2" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns 2 to the power of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.expm1">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">expm1</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.expm1" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns exp(x) - 1 where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.fix">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">fix</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.fix" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns x rounded towards zero where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.floor">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">floor</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.floor" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the floor of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.floor_divide">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">floor_divide</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.floor_divide" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns x1 // x2</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.gradient">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">gradient</code><span class="sig-paren">(</span><em class="sig-param">*args</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.gradient" title="Permalink to this definition">¶</a></dt>
-<dd><p>Alias for numpy.gradient</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.heaviside">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">heaviside</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">h0</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.heaviside" title="Permalink to this definition">¶</a></dt>
-<dd><p>Heavyside function of x, h0 is the value at x = 0</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.imag">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">imag</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.imag" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns x.imag</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.log">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">log</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.log" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the natural logrithm of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.log10">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">log10</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.log10" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the log base 10 of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.log1p">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">log1p</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.log1p" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the natural logrithm of x plus 1 where x can be float, complex, gummy
-or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.log2">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">log2</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.log2" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the log base 2 of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.logaddexp">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">logaddexp</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.logaddexp" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the log(exp(x1) + exp(x2)) where x1 and x2 can be float, complex, gummy
-or jummy and log is the natural logrithm.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.logaddexp2">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">logaddexp2</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.logaddexp2" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the log2(2**x1 + 2**x2) where x1 and x2 can be float, complex, gummy
-or jummy and log2 is the logrithm to base 2.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.mod">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">mod</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.mod" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns x1 % x2</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.modf">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">modf</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.modf" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns (x1 % 1, x1 // 1), a tuple of integer and fractional parts</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.multiply">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">multiply</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.multiply" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns x1 * x2</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.negative">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">negative</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.negative" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns -x</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.power">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">power</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.power" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns x1**x2</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.prod">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">prod</code><span class="sig-paren">(</span><em class="sig-param">*args</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.prod" title="Permalink to this definition">¶</a></dt>
-<dd><p>Alias for numpy.prod</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.real">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">real</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.real" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns x.real</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.reciprocal">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">reciprocal</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.reciprocal" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns 1/x</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.remainder">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">remainder</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.remainder" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns x1 % x2</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.rint">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">rint</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.rint" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns x rounded to the nearest integer value where x can be float, complex,
-gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.sign">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">sign</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.sign" title="Permalink to this definition">¶</a></dt>
-<dd><p>sign of x</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.sin">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">sin</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.sin" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the sine of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.sinh">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">sinh</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.sinh" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the hyperbolic sine of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.sqrt">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">sqrt</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.sqrt" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the square root of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.square">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">square</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.square" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the square of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.subtract">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">subtract</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.subtract" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns x1 - x2</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.sum">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">sum</code><span class="sig-paren">(</span><em class="sig-param">*args</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.sum" title="Permalink to this definition">¶</a></dt>
-<dd><p>Alias for numpy.sum</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.tan">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">tan</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.tan" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the tangent of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.tanh">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">tanh</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.tanh" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the hyperbolic tangent of x where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.true_divide">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">true_divide</code><span class="sig-paren">(</span><em class="sig-param">x1</em>, <em class="sig-param">x2</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.true_divide" title="Permalink to this definition">¶</a></dt>
-<dd><p>returns x1 / x2</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.functions.trunc">
-<code class="sig-prename descclassname">metrolopy.functions.</code><code class="sig-name descname">trunc</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.functions.trunc" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns x rounded towards zero where x can be float, complex, gummy or jummy.</p>
-</dd></dl>
-
-</div>
-<div class="section" id="module-metrolopy.gummy">
-<span id="metrolopy-gummy-module"></span><h2>metrolopy.gummy module<a class="headerlink" href="#module-metrolopy.gummy" title="Permalink to this headline">¶</a></h2>
-<p>The gummy object defined here represents the core functionality of this
-package, though the code in this module only integrates the unit conversion
-machinery from the .unit module with the other functions and provides pretty
-printing functionality.  The first-order uncertainty propagation code resides
-in the .ummy module.  The Monte-Carlo propagation machinery is defined in the
-.distributions module and is integrated with the ummy object in the nummy
-module.  The gummy object, in turn, inherits from the nummy object.</p>
-<dl class="class">
-<dt id="metrolopy.gummy.MetaGummy">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.gummy.</code><code class="sig-name descname">MetaGummy</code><a class="headerlink" href="#metrolopy.gummy.MetaGummy" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.printing.MetaPrettyPrinter" title="metrolopy.printing.MetaPrettyPrinter"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.printing.MetaPrettyPrinter</span></code></a>, <a class="reference internal" href="#metrolopy.nummy.MetaNummy" title="metrolopy.nummy.MetaNummy"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.nummy.MetaNummy</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.gummy.MetaGummy.cmp_k">
-<em class="property">property </em><code class="sig-name descname">cmp_k</code><a class="headerlink" href="#metrolopy.gummy.MetaGummy.cmp_k" title="Permalink to this definition">¶</a></dt>
-<dd><p>Get or set the coverage factor for comparisons between gummys.
-Setting this property sets the <cite>cmp_p</cite> property to <cite>None</cite>.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.MetaGummy.cmp_p">
-<em class="property">property </em><code class="sig-name descname">cmp_p</code><a class="headerlink" href="#metrolopy.gummy.MetaGummy.cmp_p" title="Permalink to this definition">¶</a></dt>
-<dd><p>Get or set the probability level to use when comparing gummys.
-Setting this property sets the <cite>cmp_k</cite> property to <cite>None</cite>.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.MetaGummy.p_method">
-<em class="property">property </em><code class="sig-name descname">p_method</code><a class="headerlink" href="#metrolopy.gummy.MetaGummy.p_method" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>str</cite> in {‘loc’, ‘cp’, ‘gauss’, ‘ccp’, ‘chebyshev’}</p>
-<p>This sets the default <cite>p_method</cite> attribute for newly created gummys which
-determines how the coverage factor is calculated from a given level of
-confidence or coverage probability <cite>p</cite>.</p>
-<p>If <cite>p_method</cite> = ‘loc’, then the uncertainty is assumed to be represented
-by a normal probability distribution if <cite>dof</cite> = <cite>float(‘inf’)</cite> and shifted
-and scaled Student’s t distribution otherwise.  If <cite>p_method</cite> = ‘gauss’ or
-‘cp’ then the Gauss inequality is used, and if <cite>p_method</cite> = ‘chebyshev’ or
-‘ccp’ then the Chebyshev inequality is used.  For <cite>p</cite> = 0.95 and
-<cite>dof</cite> = <cite>float(‘inf’)</cite>, <cite>p_method</cite> = ‘loc’ gives <cite>k</cite> = 2.0, while
-<cite>p_method</cite> = ‘gauss’ gives <cite>k</cite> = 3.0 and p_method = ‘chebyshev’ gives <cite>k</cite> = 4.5.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.MetaGummy.style">
-<em class="property">property </em><code class="sig-name descname">style</code><a class="headerlink" href="#metrolopy.gummy.MetaGummy.style" title="Permalink to this definition">¶</a></dt>
-<dd><p>Get or set the default display style for new gummys.  This is a string
-with one of the following values:</p>
-<ul class="simple">
-<li><p>“pm” or “+-” gives, e.g. in ascii format “(1.00 +/- 0.12)e-12 cm”</p></li>
-<li><p>“pmi” or “+-i” gives e.g. “1.00e-12 cm +/- 1.2e-13 cm”</p></li>
-<li><p>“concise” or “()” gives e.g. “1.00(12)e-12 cm”</p></li>
-<li><p>“ueq” or “u equals” gives e.g. “1.00e-12 cm with u = 1.2e-13 cm”</p></li>
-<li><p>“x” or “x only” gives e.g. “1.00e-12 cm”</p></li>
-<li><p>“xf” gives e.g. “1.00e-12”</p></li>
-<li><p>“u” or “u only” gives “1.2e-13 cm”</p></li>
-<li><p>“uf” gives “1.2e-13”</p></li>
-</ul>
-<p>The following styles display a mean and confidence interval based on
-data from a Monte-Carlo simulation.  If no simulated data is available
-“no simulated data” is returned.</p>
-<ul class="simple">
-<li><p>“pmsim” gives e.g. “(1.01 + 0.11 - 0.13)e-12 cm”</p></li>
-<li><p>“pmsimi” gives e.g. “1.01e-12 cm + 1.1e-13 cm - 1.3e-11 cm”</p></li>
-<li><p>“mcisim” gives e.g. “mean = 1.01e-12 cm, confidence interval =
-[8.8e-13 cm, 1.13e-12 cm]”</p></li>
-<li><p>“cisim” gives e.g “[8.8e-13 cm, 1.13e-12 cm]”</p></li>
-<li><p>“usim” gives the standard deviation e.g. “1.2e-13 cm”</p></li>
-<li><p>“ufsim” gives the standard deviation e.g. “1.2e-13”</p></li>
-</ul>
-<p>Note if <cite>uunit</cite> has been defined for the gummy instance, then concise style
-and pm style are not valid and the display will default to pmi style.</p>
-<p>The style can be set either at the class or the instance level.</p>
-<p>To control whether the coverage factor (k), the level of confidence (p),
-the degrees of freedom (dof), and name are displayed as part of the
-uncertainty statement set the following variables to True or False (at
-either the class or instance level):</p>
-<ul class="simple">
-<li><p><cite>show_k</cite></p></li>
-<li><p><cite>show_p</cite></p></li>
-<li><p><cite>show_dof</cite></p></li>
-<li><p><cite>show_name</cite></p></li>
-</ul>
-<p><cite>show_k</cite>, <cite>show_p</cite>, and <cite>show_dof</cite> can also be set to <cite>None</cite>, which will
-allow the gummy object to decide whether to display the corresponding
-values.</p>
-<p>The number of significant digits in the uncertainty to be displayed is
-set with the <cite>nsig</cite> attribute.  This can be set either at the class level
-or the instance level.  When the gummy module is loaded <cite>nsig</cite> is set to 2.</p>
-<p>Scientific notation can be turned on or off by setting the <cite>sci_notation</cite>
-attribute to <cite>True</cite> or <cite>False</cite>.  If <cite>sci_notation</cite> is set to <cite>None</cite>, scientific notation
-will be used if the exponent of gummy <cite>x</cite> value is greater than than the
-value of the <cite>sci_notation_high</cite> attribute or less than the <cite>sci_notation_low</cite>
-attribute.  When the gummy module is loaded, <cite>sci_notation</cite> is <cite>None</cite>,
-<cite>sci_notation_high</cite> is 7 and <cite>sci_notation_low</cite> is -3.  These attributes
-can be set either at the class or instance level.</p>
-<p>Setting the <cite>solidus</cite> attribute to <cite>True</cite> uses a solidus (forward slash)
-to separate units with positive and negative exponents e.g. “m/s” and when
-<cite>solidus</cite> is set to <cite>False</cite> negative exponents are used e.g. “m s**-1”.
-Setting the <cite>mulsep</cite> attribute to <cite>True</cite> inserts a dot or * between units while setting
-this to <cite>False</cite> a space separates units. When the gummy module is loaded,
-both <cite>solidus</cite> and <cite>mulsep</cite> are set to <cite>False</cite>.  They may be set at either
-the instance or class level.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.gummy.gummy">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.gummy.</code><code class="sig-name descname">gummy</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">u=0</em>, <em class="sig-param">unit=</em>, <em class="sig-param">dof=inf</em>, <em class="sig-param">k=1</em>, <em class="sig-param">p=None</em>, <em class="sig-param">uunit=None</em>, <em class="sig-param">utype=None</em>, <em class="sig-param">name=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.printing.PrettyPrinter" title="metrolopy.printing.PrettyPrinter"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.printing.PrettyPrinter</span></code></a>, <a class="reference internal" href="#metrolopy.nummy.nummy" title="metrolopy.nummy.nummy"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.nummy.nummy</span></code></a></p>
-<p>A gummy object represents a numerical value with an uncertainty and (or) a
-unit.  They can be used in place of float values in Python expressions and
-the uncertainty can be propagated with with both first-order and
-Monte-Carlo methods.  Correlations between gummys are tracked.</p>
-<dl class="field-list">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul>
-<li><p><strong>x</strong> (<cite>float</cite>, <cite>Distribution</cite> or <cite>gummy</cite>) – Either a float representing the value of the gummy or a sub-class of
-<cite>Distribution</cite> that represents the probability distribution of the gummy.
-If <cite>x</cite> is a Distribution neither <cite>u</cite> nor <cite>dof</cite> should be specified.
-If <cite>x</cite> is a gummy then all other parameters are ignored and <code class="docutils literal notranslate"><span class="pre">gummy(x)</span></code>
-is equivalent to <code class="docutils literal notranslate"><span class="pre">x.copy(formatting=True)</span></code>.</p></li>
-<li><p><strong>u</strong> (<cite>float</cite> &gt;= 0, optional,) – A number representing the uncertainty in <cite>x</cite>.  By default <cite>u</cite>
-is taken to be the standard (“1-sigma”) uncertainty.  But if <cite>k</cite> or <cite>p</cite>
-are specified then <cite>u</cite> is taken to be the corresponding expanded
-uncertainty. The default value for <cite>u</cite> is 0.</p></li>
-<li><p><strong>unit</strong> (<cite>str</cite> or <cite>Unit</cite>, optional) – The units of the gummy.  This may be a Unit object or, more commonly, a
-string that references a Unit object, e.g. <code class="docutils literal notranslate"><span class="pre">gummy(1,unit='kg')</span></code> or
-<code class="docutils literal notranslate"><span class="pre">gummy(3.67,0.22,unit='m/s')</span></code>.  The default is <cite>one</cite>.</p></li>
-<li><p><strong>dof</strong> (<cite>float</cite> or <cite>int</cite> &gt; 0, optional) – The number of degrees of freedom upon which the uncertainty is based.
-The default is <code class="docutils literal notranslate"><span class="pre">float('inf')</span></code>.</p></li>
-<li><p><strong>k</strong> (<em>float &gt; 0 or None, optional</em>) – The coverage factor if <cite>u</cite> is an expanded uncertainty.  The value of the
-<cite>u</cite> parameter is divided by the coverage factor to get the  standard
-uncertainty for the new gummy.  If the parameter <cite>p</cite> is specified then
-the coverage factor is calculated using <cite>p</cite> and the value of the <cite>k</cite>
-parameter is ignored.  The default for <cite>k</cite> is 1.</p></li>
-<li><p><strong>p</strong> (<cite>float</cite> between 0 and 1 or <cite>None</cite>, optional) – The level of confidence or probability  level if <cite>u</cite> is an expanded
-uncertainty.  If this parameter is specified, then the coverage factor
-is calculated using <cite>dof</cite> and the method specified
-by the <cite>p_method</cite> parameter.  The standard uncertainty for the gummy is
-then set to <cite>u</cite> divided by the coverage factor.</p></li>
-<li><p><strong>p_method</strong> ({‘loc’, ‘cp’, ‘gauss’, ‘ccp’, ‘chebyshev’, <cite>None</cite>}, optional) – If the <cite>p</cite> parameter is specified, <cite>p_method `sets the method that is
-used to calculate the coverage factor.  If `p_method</cite> is None then the
-value of gummy.p_method is used (which in turn has a default of ‘loc’).</p>
-<p>If <cite>p_method</cite> = ‘loc’, then the uncertainty is assumed to be represented
-by a normal probability distribution if <cite>dof</cite> = float(‘inf’) and shifted
-and scaled Student’s t distribution otherwise.  If <cite>p_method</cite> = ‘gauss’
-or ‘cp’ then the Gauss inequality is used, and if <cite>p_method</cite> = ‘chebyshev’
-or ‘ccp’ then the Chebyshev inequality is used.  For <cite>p</cite> = 0.95 and
-<cite>dof</cite> = float(‘inf’), <cite>p_method</cite> = ‘loc’ gives <cite>k</cite> = 2.0, while
-<cite>p_method</cite> = ‘gauss’ gives <cite>k</cite> = 3.0 and <cite>p_method</cite> = ‘chebyshev’ gives
-<cite>k</cite> = 4.5.</p>
-</li>
-<li><p><strong>uunit</strong> (<cite>str</cite>, <cite>Unit</cite> or <cite>None</cite>, optional) – This represents the units of <cite>u</cite>.  It may be  a unit with the same
-dimension as the unit parameter, e.g. a measurement result of 3 m with
-an uncertainty of 1 mm can be represented by
-<code class="docutils literal notranslate"><span class="pre">gummy(3,1,unit='m',uunit='mm')</span></code> The uunit parameter can also be a
-dimensionless unit if u represents a relative uncertainty, e.g. the gummy
-above can be equivalently represented by <code class="docutils literal notranslate"><span class="pre">gummy(3,0.1,unit='m',uunit='%')</span></code>.
-If this is set to None, then the units of <cite>u</cite> are taken to be the same as
-those of <cite>x</cite> (as given by the unit parameter).  The default is <cite>None</cite>.</p></li>
-<li><p><strong>utype</strong> (<cite>str</cite> or <cite>None</cite>, optional) – An arbitrary string value labeling the uncertainty type.  When
-a calculation is performed with gummys, the combined uncertainty of
-effective degrees of freedom from one particular uncertainty type can be
-found in the calculation result with the ufrom and doffrom methods.  E.g.
-you can create a set of gummys with uncertainties assigned either utype
-“A” or utype “B”, insert them into a measurement equation and find the
-combined utype “A” uncertainty.  The default is <cite>None</cite>.</p></li>
-<li><p><strong>name</strong> (<cite>str</cite> or <cite>None</cite>, optional) – An arbitrary string naming the gummy.  The name is used when displaying
-the gummy value and serves no other function.  The default is <cite>None</cite>.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.U">
-<em class="property">property </em><code class="sig-name descname">U</code><a class="headerlink" href="#metrolopy.gummy.gummy.U" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets the expanded uncertainty.  This property is read-only but changing
-the coverage factor (setting the <cite>k</cite> property), the level of confidence
-(setting the <cite>p</cite> property), or changing the units of the uncertainty
-(setting the <cite>uunit</cite> property) will change the <cite>U</cite> return value.  This
-property returns a float.</p>
-<p>The expanded uncertainty <cite>U</cite> (see the <cite>U</cite> property) is related to the
-standard uncertainty u (see the u property) by <cite>U</cite> = <cite>k`*`u</cite>.  The coverage
-factor <cite>k</cite> can be set directly or the desired level of confidence <cite>p</cite>
-(see the <cite>p</cite> property) can be set an k will be calculated based on
-either a normal distribution if the number degrees of freedom (see the
-dof property) for the uncertainty is infinite or a Student’s t
-distribution otherwise.</p>
-<p>Setting this property will change the value of the <cite>p</cite> property.</p>
-<p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="n">u</span><span class="o">=</span><span class="mf">0.1</span><span class="p">)</span>  <span class="c1"># Setting k = 2 gives U = 2*u</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">k</span> <span class="o">=</span> <span class="mi">2</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">U</span>
-<span class="go">0.2</span>
-</pre></div>
-</div>
-<p><cite>U</cite> may be expressed in different units from <cite>x</cite> by setting the uunit
-property.</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mf">0.001</span><span class="p">,</span><span class="n">unit</span><span class="o">=</span><span class="s1">&#39;m&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">uunit</span> <span class="o">=</span> <span class="s1">&#39;mm&#39;</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">U</span>
-<span class="go">1</span>
-</pre></div>
-</div>
-<p>U can also be expressed as a relative uncertainty:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">uunit</span> <span class="o">=</span> <span class="s1">&#39;%&#39;</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">U</span>
-<span class="go">0.05</span>
-</pre></div>
-</div>
-<p>The expanded uncertainty is used when printing the gummy:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span>
-<span class="go">2.0000 m +/- 0.050%</span>
-</pre></div>
-</div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.Usim">
-<em class="property">property </em><code class="sig-name descname">Usim</code><a class="headerlink" href="#metrolopy.gummy.gummy.Usim" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets the expanded uncertainty plus and minus components calculated
-from Monte-Carlo data at the level of confidence given by the <cite>p</cite> property.
-The return value is a tuple equivalent to <code class="docutils literal notranslate"><span class="pre">(cisim[1]</span> <span class="pre">-</span> <span class="pre">xsim,xsim</span> <span class="pre">-</span> <span class="pre">cisim[0])</span></code>,
-see the <cite>cisym</cite> and <cite>xsym</cite> properties.  If no simulated data is available a
-<cite>NoSimulatedDataError</cite> will be raised when this property is called; see the
-sim and simulate methods.  <cite>Usym</cite> is ready-only, but changing the <cite>p</cite> or
-<cite>k</cite> properties will affect <cite>Usym</cite>.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.ascii">
-<code class="sig-name descname">ascii</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.ascii" title="Permalink to this definition">¶</a></dt>
-<dd><p>Prints the gummy formatted using only ASCII characters.  All parameters
-are optional.  Any parameters that are not <cite>None</cite> override the corresponding
-attributes of the calling gummy.</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.gummy.gummy.autoconvert">
-<code class="sig-name descname">autoconvert</code><em class="property"> = False</em><a class="headerlink" href="#metrolopy.gummy.gummy.autoconvert" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.budget">
-<code class="sig-name descname">budget</code><span class="sig-paren">(</span><em class="sig-param">xlist</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.budget" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a Budget object that can be used to display an uncertainty
-budget table listing the the contributions of the gummys in <cite>xlist</cite>
-to the total uncertainty in the calling gummy.</p>
-<p>To display the table use the <cite>Budget.html()</cite> or <cite>Budget.latex()</cite>
-methods  in a console or notebook that supports this type of output
-or the python  built-in function to get a unicode table.</p>
-<p>The <cite>Budget.tohtml()</cite> and <cite>Budget.tolatex()</cite> methods can be used
-to get strings with the html or latex code.</p>
-<p>The <cite>Budget.df</cite> property can be used to retrieve a pandas <cite>DataFrame</cite>
-with the table.  Also <cite>Budget.df_str</cite>, <cite>Budget.df_html</cite> and
-<cite>Budget.df_latex</cite> return DataFrames with formatted strings as entries
-rather than numerical values.</p>
-<dl class="field-list">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul>
-<li><p><strong>xlist</strong> (array_like of <cite>gummy</cite>) – The independent variables.  Warnings will be generated if the
-gummys in this list over determine <cite>self</cite> (that is if not all
-variables in this list can be treated as independent variables)
-or under determine <cite>self</cite> (that is if some variables
-contributing to the uncertainty in <cite>self</cite> are missing).</p></li>
-<li><p><strong>uunit</strong> (<cite>str</cite> or Unit, optional) – Unit to use to express the uncertainties.  This useful if you
-wish to express all uncertainties  as relative uncertainty unit
-(e.g. %).</p></li>
-<li><p><strong>k, p</strong> (<cite>float</cite>, optional) – k or p values for the expanded uncertainty; do not specify both <cite>k</cite>
-and <cite>p</cite>; if neither are specified the the <cite>k</cite> and <cite>p</cite> values of
-<cite>self</cite> are used</p></li>
-<li><p><strong>sort</strong> (<cite>bool</cite>, optional) – Whether or not to sort the gummys in <cite>xlist</cite> by significance.</p></li>
-<li><p><strong>columns</strong> (<cite>list</cite> of <cite>str</cite> or <cite>None</cite>, optional) – Allows the user to select the columns (and ordering of the columns)
-for display.  The available columns are:</p>
-<p>“component” or “name”:  the names of the gummy, displayed by default</p>
-<dl class="simple">
-<dt>“description”:  description given in the description parameter list,</dt><dd><p>displayed by default if the description parameter is not None</p>
-</dd>
-</dl>
-<p>“unit”:  the unit of the gummy, displayed by default</p>
-<p>“value”:  the x value of the gummy, displayed by default</p>
-<dl class="simple">
-<dt>“u” or “uncertainty”:  The uncertainty of the gummy.  This is the</dt><dd><p>standard uncertainty except possible in the last row where an
-expanded uncertainty is displayed.  This column is displayed by
-default.</p>
-</dd>
-<dt>“dof”:  the degrees of freedom for the uncertainty, displayed by default</dt><dd><p>if any uncertainty has finite degrees of freedom</p>
-</dd>
-<dt>“type”:  the uncertainty type, displayed by default if any gummy has</dt><dd><p>a type defined</p>
-</dd>
-<dt>“s” or “significance”:  the sensitivity coefficient (below) multiplied</dt><dd><p>by the standard uncertainty, displayed by default</p>
-</dd>
-<dt>“d”, “derivative” or “partial”:  the partial derivative of the y gummy</dt><dd><p>with resect to the gummy in that row</p>
-</dd>
-</dl>
-<p>“c” or “sensitivity coefficient”:  the absolute value of “d”</p>
-<dl class="simple">
-<dt>“custom”:  value given in the custom parameter list, displayed by default</dt><dd><p>if the custom parameter is not None</p>
-</dd>
-</dl>
-<p>The columns displayed can also be set with the <cite>columns</cite> property.</p>
-</li>
-<li><p><strong>column_names</strong> (<cite>dict</cite> or <cite>None</cite>, optional) – Names to display as column headers, if this is <cite>None</cite> then the default
-names are used.  The dictionary should use as keys any of the column
-names listed above in the columns parameter description and as values
-the desired heading for this column.  The column names can also be set
-with the <cite>column_names</cite> property.</p></li>
-<li><p><strong>show_subtotals</strong> (<cite>bool</cite>, optional) – If any uncertainty types are defined, the combined standard uncertainty
-for each type is displayed in the table.  This can also be changed by
-setting the <cite>show_subtotals</cite> attribute.  The default is <cite>True</cite>.</p></li>
-<li><p><strong>show_expanded_u</strong> (<cite>bool</cite> or <cite>None</cite>, optional) – Whether or not to display the expanded uncertainty in the last row.  If
-this is <cite>None</cite>, then the expanded uncertainty is displayed if `
-<cite>self.k != 1`</cite>. This can also be changed by setting the <cite>show_expanded_u</cite>
-attribute.</p></li>
-<li><p><strong>show_s</strong> (<cite>bool</cite>, optional) – Whether or not to show the significance column.  This is ignored if the
-<cite>columns</cite> parameter is not <cite>None</cite>.  The default can be changed by setting
-the attribute class attribute <cite>Budget.show_s</cite>.  The default value is <cite>True</cite>.</p></li>
-<li><p><strong>show_d</strong> (<cite>bool</cite>, optional) – Whether or not to show the partial derivatives column.  This is ignored
-if columns is not None.  The default can be  changed by setting the
-attribute class attribute <cite>Budget.show_d</cite>.  The default is <cite>True</cite>.</p></li>
-<li><p><strong>show_c</strong> (<cite>bool</cite>, optional) – Whether or not to show the sensitivity coefficient column.  This is ignored
-if columns is not None.  The default can be changed by setting the
-attribute class attribute <cite>Budget.show_c</cite>.  Teh default value is <cite>False</cite></p></li>
-<li><p><strong>units_on_values</strong> (<cite>bool</cite> or <cite>None</cite>) –</p>
-<dl class="simple">
-<dt>If this is <cite>True</cite>, units are shown in the value and u columns and if <cite>False</cite></dt><dd><p>the units are in a separate column.  If <cite>None</cite> then the units are in a
-separate column unless  any gummy in <cite>xlist</cite> or <cite>y</cite> has a <cite>uunit</cite> defined.</p>
-</dd>
-</dl>
-</li>
-<li><p><strong>sim</strong> (<cite>bool</cite>, optional) – If True, the combined uncertainty and partial derivatives will be calculated
-using Monte-Carlo data.  The default is <cite>False</cite></p></li>
-<li><p><strong>css</strong> (<cite>str</cite> or <cite>None</cite>, optional) – A css header to be used when displaying the table in HTML format.  If this is
-<cite>None</cite> then <cite>Budget.default_css</cite> will be used.</p></li>
-<li><p><strong>description</strong> (<cite>list</cite> of <cite>str</cite> or <cite>None</cite>, optional) – An optional column of descriptions to be printed in the table.  This should
-be a description for <cite>y</cite> then for each <cite>x</cite>, and followed, optionally, by
-subtotal and expanded uncertainty descriptions.</p></li>
-<li><p><strong>description_math_mode</strong> (<cite>bool</cite>, optional) – If this is <cite>False</cite>, then when using a LaTeX format, the description is put
-in normal text mode rather than math mode.  The default is <cite>False</cite></p></li>
-<li><p><strong>custom</strong> (<cite>list</cite> of <cite>str</cite> or <cite>None</cite>, optional) – An optional column of  additional information to be printed in the table.
-This should be a value for <cite>y</cite> then for each <cite>x</cite>, and followed, optionally,
-by subtotal and expanded uncertainty values.</p></li>
-<li><p><strong>custom_heading</strong> (<cite>str</cite> or <cite>None</cite>, optional) – A heading for the custom column.</p></li>
-<li><p><strong>custom_math_mode</strong> (<cite>bool</cite>) – If this is False, then when using a LaTeX format, the custom value is put
-in normal text mode rather than math mode.  The default value is <cite>False</cite>.</p></li>
-<li><p><strong>solidus, mulsep, slashaxis</strong> – see gummy.solidus, gummy.mulsep and gummy.slashaxis</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.c">
-<em class="property">property </em><code class="sig-name descname">c</code><a class="headerlink" href="#metrolopy.gummy.gummy.c" title="Permalink to this definition">¶</a></dt>
-<dd><p>This read-only property is used as a conversion flag during calculations.
-When an arithmetic operation is carried out between two gummys with
-different units, a unit conversion on one of the input quantities may be
-required to complete the calculation.  Attach this flag to the unit that
-you prefer be converted.</p>
-<p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="n">u</span><span class="o">=</span><span class="mf">0.01</span><span class="p">,</span><span class="n">unit</span><span class="o">=</span><span class="s1">&#39;cm&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="n">u</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span><span class="n">unit</span><span class="o">=</span><span class="s1">&#39;mm&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">+</span> <span class="n">b</span>
-<span class="go">(1.200 +/- 0.022) cm</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">a</span><span class="o">.</span><span class="n">c</span> <span class="o">+</span> <span class="n">b</span>
-<span class="go">(12.00 +/- 0.22) mm</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">+</span> <span class="n">b</span><span class="o">.</span><span class="n">c</span>
-<span class="go">(1.200 +/- 0.022) cm</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">a</span><span class="o">*</span><span class="n">b</span>
-<span class="go">(0.200 +/- 0.020) cm**2</span>
-<span class="go">&gt;&gt;&gt;a.c*b</span>
-<span class="go">(20.0 +/- 2.0) mm**2</span>
-</pre></div>
-</div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.cisim">
-<em class="property">property </em><code class="sig-name descname">cisim</code><a class="headerlink" href="#metrolopy.gummy.gummy.cisim" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets the confidence interval using the Monte-Carlo data with the
-level of confidence as set with the <cite>p</cite> property.  A tuple is returned
-with the first element giving the lower limit and the second element
-giving the upper limit of the confidence interval.  If the <cite>cimethod</cite> property
-is set to “shortest”, the confidence interval with the shortest length
-will be found and if the <cite>cimethod</cite> is set to “symmetric” the probabilities
-outside the interval on either side will be equal.  If no simulated
-data is available a <cite>NoSimulatedDataError</cite> will be raised when this property
-is called; see the <cite>sim</cite> and <cite>simulate</cite> methods.  This property is read-only,
-but changing the <cite>p</cite>, <cite>k</cite>, or <cite>cimethod</cite> properties will affect the return
-value.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.convert">
-<code class="sig-name descname">convert</code><span class="sig-paren">(</span><em class="sig-param">unit</em>, <em class="sig-param">uunit=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.convert" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a copy of the gummy with converted units.  This is equivalent
-to calling the copy method and then setting the unit and uunit properties
-on the copied gummy.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>unit</strong> (<cite>str</cite> or <cite>Unit</cite>) – The unit for the <cite>x</cite> value and if <cite>uunit</cite> is <cite>None</cite>, the
-uncertainty.  It must be string, None, a <cite>Unit</cite> object, or the
-integer 1.  Both 1 and <cite>None</cite> will be interpreted as the Unit
-instance <cite>one</cite>.</p></li>
-<li><p><strong>uunit `str`, `Unit` or None, optional</strong> – The unit for the uncertainty <cite>U</cite>.  If this is <cite>None</cite> then <cite>U</cite>
-will have the same units as <cite>x</cite>.  The default is <cite>None</cite>.</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.covplot">
-<em class="property">classmethod </em><code class="sig-name descname">covplot</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">y</em>, <em class="sig-param">title=None</em>, <em class="sig-param">xlabel=None</em>, <em class="sig-param">ylabel=None</em>, <em class="sig-param">mean_marker=False</em>, <em class="sig-param">mean_marker_options={}</em>, <em class="sig-param">hold=False</em>, <em class="sig-param">math=None</em>, <em class="sig-param">**plot_options</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.covplot" title="Permalink to this definition">¶</a></dt>
-<dd><p>Creates scatter plot showing the covariance between two gummys.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (<cite>gummy</cite>) – The gummy to plot on the horizontal axis.</p></li>
-<li><p><strong>y</strong> (<cite>gummy</cite>) – The gummy to plot on the vertical axis.</p></li>
-<li><p><strong>title</strong> (<cite>str</cite> or <cite>None</cite>, optional) – A title for the plot.  If this is omitted or set
-to None then the correlation will be displayed as the title.</p></li>
-<li><p><strong>xlabel</strong> (<cite>str</cite> or <cite>None</cite>, optional) – A label for the horizontal axis.  If this os
-omitted or None then that axis will be labeled either “x” or with
-the <cite>x</cite> gummy’s unit.</p></li>
-<li><p><strong>ylabel</strong> (<cite>str</cite> or <cite>None</cite>, optional) – A label for the vertical axis.  If this os
-omitted or None then that axis will be labeled either “y” or with
-the <cite>y</cite> gummy’s unit.</p></li>
-<li><p><strong>mean_marker</strong> (<cite>bool</cite>, optional) – Whether or not to display line markers at the mean
-values of <cite>x</cite> and <cite>y</cite>.  The default is <cite>False</cite>.</p></li>
-<li><p><strong>mean_marker_options</strong> (<cite>dict</cite>, optional) – A dictionary of options to be passed to the
-<cite>pyplot.axvline</cite> and <cite>pyplot.axhline</cite> methods that draw the <cite>mean_marker</cite>.</p></li>
-<li><p><strong>hold</strong> (<cite>bool</cite>, optional) – If this is <cite>False</cite> then <code class="docutils literal notranslate"><span class="pre">pyplot.show()</span></code> is called before this method
-exits.  If it is <cite>True</cite> <code class="docutils literal notranslate"><span class="pre">pyplot.show()</span></code> is not called.  The default is
-<cite>False</cite>.</p></li>
-<li><p><strong>plot_options</strong> (<em>These are optional keyword arguments that are passed to</em>) – the <cite>pyplot.plot</cite> method.  For example <code class="docutils literal notranslate"><span class="pre">ms=0.1</span></code> decreases the size of the
-dots in the plot.</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.create">
-<em class="property">classmethod </em><code class="sig-name descname">create</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">u=0</em>, <em class="sig-param">unit=</em>, <em class="sig-param">dof=inf</em>, <em class="sig-param">k=1</em>, <em class="sig-param">p=None</em>, <em class="sig-param">uunit=None</em>, <em class="sig-param">utype=None</em>, <em class="sig-param">name=None</em>, <em class="sig-param">correlation_matrix=None</em>, <em class="sig-param">covariance_matrix=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.create" title="Permalink to this definition">¶</a></dt>
-<dd><p>A class method that creates a list of correlated gummys.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> – Either a list of floats corresponding to the x-value of each
-gummy or an and instance of a MultivariateDistribution sub-class.</p></li>
-<li><p><strong>u, unit, dof, k, p, uunit, utype, and name</strong> – Lists that correspond to the parameters in the gummy
-initializer (with the i-th value  in each list passed to
-the initializer for the i-th gummy). With the exception of
-the “name” parameter, these may also be a single value with
-this same value is to passed to each initializer.</p></li>
-<li><p><strong>correlation_matrix</strong> – A list or array to be used as the correlation matrix of the
-gummys. This is optional and must be set to the default value
-of <cite>None</cite> if the covariance_matrix is specified.</p></li>
-<li><p><strong>covariance_matrix</strong> – A list or array to be used as the variance-covariance matrix
-of the gummys.  If the covariance matrix is`  specified the <cite>u</cite>
-parameter will be ignored  This parameter is optional and must
-be set to the default value of <cite>None</cite> if the <cite>correlation_matrix</cite>
-is specified.  If both the <cite>correlation_matrix</cite>  and the
-<cite>covariance_matrix</cite> are <cite>None</cite> (or omitted) then the gummys
-will be uncorrelated.</p></li>
-</ul>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p></p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p>a list of gummys</p>
-</dd>
-</dl>
-<p class="rubric">Notes</p>
-<p>This package does not implement a multivariate Student’s t
-distribution that has differing degrees of freedom for each component.
-So if if the elements of dof are finite and not all the same and
-either a correlation_matrix or a covariance_matrix is defined, the
-joint distribution for Monte-Carlo calculations (but not first-
-order calculations) will default to a multivariate normal distribution.</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.gummy.gummy.exception_on_fmt_error">
-<code class="sig-name descname">exception_on_fmt_error</code><em class="property"> = False</em><a class="headerlink" href="#metrolopy.gummy.gummy.exception_on_fmt_error" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.graft">
-<code class="sig-name descname">graft</code><span class="sig-paren">(</span><em class="sig-param">unit</em>, <em class="sig-param">uunit=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.graft" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a copy of the gummy with different units but the same <cite>x</cite> and
-<cite>u</cite> values.  This is different from <code class="docutils literal notranslate"><span class="pre">gummy.convert(unit)</span></code> in that
-<code class="docutils literal notranslate"><span class="pre">gummy.convert(unit)</span></code> changes the <cite>x</cite> and <cite>u `values to express the
-same quantity  in different units while `gummy.graft(unit)</cite> simply
-tacks on a different unit to the same numerical values.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>unit</strong> (<cite>str</cite> or <cite>Unit</cite>) – The unit for the <cite>x</cite> value and if <cite>uunit</cite> is <cite>None</cite>, the
-uncertainty.  It must be string, None, a <cite>Unit</cite> object, or the
-integer 1.  Both 1 and <cite>None</cite> will be interpreted as the Unit
-instance <cite>one</cite>.</p></li>
-<li><p><strong>uunit `str`, `Unit` or None, optional</strong> – The unit for the uncertainty <cite>U</cite>.  If this is <cite>None</cite> then <cite>U</cite>
-will have the same units as <cite>x</cite>.  The default is <cite>None</cite>.</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.hist">
-<code class="sig-name descname">hist</code><span class="sig-paren">(</span><em class="sig-param">title=None</em>, <em class="sig-param">xlabel=None</em>, <em class="sig-param">p=None</em>, <em class="sig-param">show_p=True</em>, <em class="sig-param">title_style=None</em>, <em class="sig-param">mean_marker=True</em>, <em class="sig-param">mean_marker_options={}</em>, <em class="sig-param">ci_marker=True</em>, <em class="sig-param">ci_marker_options={}</em>, <em class="sig-param">hold=False</em>, <em class="sig-param">math=None</em>, <em class="sig-param">norm=None</em>, <em class="sig-param">**plot_options</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.hist" title="Permalink to this definition">¶</a></dt>
-<dd><p>Plots a histogram of the Monte-Carlo data for the gummy.  Before calling
-this method gummy.sim or gummy.simulate must be called to generate the
-Monte-Carlo data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>all parameters are optional</strong></p></li>
-<li><p><strong>title</strong> (<cite>str</cite> or <cite>None</cite>, optional) – A title for the plot.  If this is omitted or set to <cite>None</cite> then
-a title will be generated using the gummy name (if it has one)
-and the mean value and confidence interval.  The title will also
-give the standard deviation of the date.  The formatting of the
-auto-generated title depends on the value of the <cite>title_style</cite>
-parameter.</p></li>
-<li><p><strong>xlabel</strong> (<cite>str</cite> or <cite>None</cite>, optional) – A label for the horizontal axis of the plot.  If this is omitted
-or set to None then a label will be generated using the name and
-unit of the gummy.  If xlabel is None and the gummy has no name
-and a unit of one, then the horizontal axis will not be labeled.</p></li>
-<li><p><strong>p</strong> (<cite>float</cite> between 0 and 1 or <cite>None</cite>) – The probability for the confidence interval (as printed in the
-title and indicated by the <cite>ci_markers</cite>). If this is <cite>None</cite> then
-the value of the <cite>gummy.p</cite> class property is used. The default
-is <cite>None</cite>.</p></li>
-<li><p><strong>show_p</strong> (<cite>bool</cite>, optional) – Whether or not to show the level of confidence in the title if the
-title is auto-generated.  The default value is <cite>True</cite></p></li>
-<li><p><strong>title_style</strong> (<em>{‘pmsim’,’pmsimi’,’cisim’,’mcisym’,’xsim’,’xfsim’,’usim’,’ufsim’}, optional</em>) – The style for displaying the value in the title. See the
-<cite>gummy.style</cite> property for details.  It this is None or omitted
-then the value of the <cite>gummy.style</cite> class property is used.</p></li>
-<li><p><strong>mean_marker</strong> (<cite>bool</cite>, optional) – Whether or not to display a vertical line at the mean value The
-default is <cite>True</cite>.</p></li>
-<li><p><strong>mean_marker_options</strong> (<cite>dict</cite>, optional) – A dictionary containing keywords to be passed to the <cite>pyplot.axvline</cite>
-method which draws the mean marker.  For example setting this to
-<code class="docutils literal notranslate"><span class="pre">{'color'='r','linewidth'=4}</span></code> makes the mean marker red and with
-a thickness of four points.</p></li>
-<li><p><strong>ci_marker</strong> (<cite>bool</cite>, optional) – Whether or not to display vertical lines at the upper and lower
-limits of the confidence interval.  The default is <cite>True</cite>.</p></li>
-<li><p><strong>ci_marker_options</strong> (<cite>dict</cite>, optional) – A dictionary containing keywords to be passed to the <cite>pyplot.axvline</cite>
-method which draws the confidence interval markers.</p></li>
-<li><p><strong>hold</strong> (<cite>bool</cite>, optional) – If this is <cite>False</cite> <code class="docutils literal notranslate"><span class="pre">pyplot.show()</span></code> is called before this method exits.
-If it is <cite>True</cite> <code class="docutils literal notranslate"><span class="pre">pyplot.show()</span></code> is not called.  The default is
-<cite>False</cite>.</p></li>
-<li><p><strong>plot_options</strong> – These are optional keyword arguments that are passed to the <cite>pyplot.hist</cite>
-method.  For example bins=50 overrides the default number of bins (100).
-For other options see the <cite>pyplot.hist</cite> documentation.</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.html">
-<code class="sig-name descname">html</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.html" title="Permalink to this definition">¶</a></dt>
-<dd><p>`
-Prints the gummy using HTML if this method is executed from an Ipython
-console or from a Jupyter or Ipython notebook.  All parameters are
-optional.  Any parameters that are not <cite>None</cite> override the corresponding
-attributes of the calling gummy.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.imag">
-<em class="property">property </em><code class="sig-name descname">imag</code><a class="headerlink" href="#metrolopy.gummy.gummy.imag" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.k">
-<em class="property">property </em><code class="sig-name descname">k</code><a class="headerlink" href="#metrolopy.gummy.gummy.k" title="Permalink to this definition">¶</a></dt>
-<dd><p>Get or set the coverage factor; must be &gt; 0.</p>
-<p>The expanded uncertainty <cite>U</cite> (see the <cite>U</cite> property) is related to
-the standard uncertainty <cite>u</cite> (see the <cite>u</cite> property) by <cite>U</cite> = <cite>k`*`u</cite>.
-The coverage factor <cite>k</cite> can be set directly or the desired level
-of confidence <cite>p</cite> (see the <cite>p</cite> property) can be set an <cite>k</cite> will be
-calculated based on either a normal distribution if the number
-degrees of freedom (see the <cite>dof</cite> property) for the uncertainty is
-infinite or a Student’s t distribution otherwise.</p>
-<p>Setting this property will change the value of the <cite>p</cite> property.</p>
-<p class="rubric">Examples</p>
-<p>Setting <cite>k</cite> = 2 gives <cite>U</cite> = 2*`u`:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="n">u</span><span class="o">=</span><span class="mf">0.1</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">k</span> <span class="o">=</span> <span class="mi">2</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">U</span>
-<span class="go">0.2</span>
-</pre></div>
-</div>
-<p>The <cite>p</cite> property has been set based on the value of <cite>k</cite>:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">p</span>
-<span class="go">0.95449973610364158</span>
-</pre></div>
-</div>
-<p>Changing the <cite>p</cite> property will change the value of the <cite>k</cite> property:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">p</span> <span class="o">=</span> <span class="mf">0.9973</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">k</span>
-<span class="go">2.9999769927034015</span>
-</pre></div>
-</div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.latex">
-<code class="sig-name descname">latex</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.latex" title="Permalink to this definition">¶</a></dt>
-<dd><p>Prints the gummy using LaTeX if this method is executed from an Ipython
-console or from a Jupyter or Ipython notebook.  All parameters are
-optional.  Any parameters that are not <cite>None</cite> override the corresponding
-attributes of the calling gummy.</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.gummy.gummy.mulsep">
-<code class="sig-name descname">mulsep</code><em class="property"> = False</em><a class="headerlink" href="#metrolopy.gummy.gummy.mulsep" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.p">
-<em class="property">property </em><code class="sig-name descname">p</code><a class="headerlink" href="#metrolopy.gummy.gummy.p" title="Permalink to this definition">¶</a></dt>
-<dd><p>Get or set the level of confidence; must be in the interval (0,1).</p>
-<p>The expanded uncertainty <cite>U</cite> (see the <cite>U</cite> property) is related to
-the standard uncertainty <cite>u</cite> (see the <cite>u</cite> property) by <cite>U</cite> = <cite>k`*`u</cite>.
-The coverage factor <cite>k</cite> can be set directly or the desired level
-of confidence <cite>p</cite> (see the <cite>p</cite> property) can be set an <cite>k</cite> will be
-calculated based on either a normal distribution if the number
-degrees of freedom (see the <cite>dof</cite> property) for the uncertainty is
-infinite or a Student’s t distribution otherwise.</p>
-<p>Setting this property will change the value of the “k” property.</p>
-<p class="rubric">Examples</p>
-<p>Setting <cite>k</cite> = 2 gives <cite>U</cite> = 2*`u`:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="n">u</span><span class="o">=</span><span class="mf">0.1</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">k</span> <span class="o">=</span> <span class="mi">2</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">U</span>
-<span class="go">0.2</span>
-</pre></div>
-</div>
-<p>The <cite>p</cite> property has been set based on the value of <cite>k</cite>:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">p</span>
-<span class="go">0.95449973610364158</span>
-</pre></div>
-</div>
-<p>Changing the <cite>p</cite> property will change the value of the <cite>k</cite> property:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">p</span> <span class="o">=</span> <span class="mf">0.9973</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">k</span>
-<span class="go">2.9999769927034015</span>
-</pre></div>
-</div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.reduce_unit">
-<code class="sig-name descname">reduce_unit</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.reduce_unit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Cancels factors in a gummy’s unit when possible.  This modifies the
-calling gummy and returns <cite>None</cite>.</p>
-<p class="rubric">Example</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span><span class="n">unit</span><span class="o">=</span><span class="s1">&#39;mm/m&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">reduce_unit</span><span class="p">()</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span>
-<span class="go">0.005</span>
-</pre></div>
-</div>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.gummy.gummy.show_dof">
-<code class="sig-name descname">show_dof</code><em class="property"> = None</em><a class="headerlink" href="#metrolopy.gummy.gummy.show_dof" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.gummy.gummy.show_k">
-<code class="sig-name descname">show_k</code><em class="property"> = None</em><a class="headerlink" href="#metrolopy.gummy.gummy.show_k" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.gummy.gummy.show_name">
-<code class="sig-name descname">show_name</code><em class="property"> = True</em><a class="headerlink" href="#metrolopy.gummy.gummy.show_name" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.gummy.gummy.show_p">
-<code class="sig-name descname">show_p</code><em class="property"> = None</em><a class="headerlink" href="#metrolopy.gummy.gummy.show_p" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.sim">
-<code class="sig-name descname">sim</code><span class="sig-paren">(</span><em class="sig-param">n=100000</em>, <em class="sig-param">ufrom=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.sim" title="Permalink to this definition">¶</a></dt>
-<dd><p>Generates Monte-Carlo data for this gummy.  Calling this method
-erases previously generated Monte-Carlo data for all gummys, so use the
-<cite>gummy.simulate()</cite> staticmethod if you need Monte-Carlo data for
-several gummys simultaneously.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>n</strong> (<cite>int</cite> &gt; 0, optional) – The number of samples to generate.  The default value is 100000.</p></li>
-<li><p><strong>ufrom</strong> (<cite>None</cite>, <cite>gummy</cite>, <cite>str</cite> or array_like) – If this is not <cite>None</cite>, then only the gummys referenced here will be
-allowed to vary, and all other gummys will be held fixed at their
-mean values.  This can be a gummy, a string referencing a utype or
-a list containing  gummys and strings.  The default value is <cite>None</cite>.</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.simulate">
-<em class="property">static </em><code class="sig-name descname">simulate</code><span class="sig-paren">(</span><em class="sig-param">gummys</em>, <em class="sig-param">n=100000</em>, <em class="sig-param">ufrom=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.simulate" title="Permalink to this definition">¶</a></dt>
-<dd><p>Generates Monte-Carlo data for one or more gummys.  Calling this method
-erases previously generated Monte-Carlo data for all gummys.  See also
-the <cite>gummy.sim()</cite> method to generate data for one gummy only.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>n</strong> (<cite>int</cite> &gt; 0, optional) – The number of samples to generate.  The default value is 100000.</p></li>
-<li><p><strong>ufrom</strong> (<cite>None</cite>, <cite>gummy</cite>, <cite>str</cite> or array_like) – If this is not <cite>None</cite>, then only the gummys referenced here will be
-allowed to vary, and all other gummys will be held fixed at their
-mean values.  This can be a gummy, a string referencing a utype or
-a list containing  gummys and strings.  The default value is <cite>None</cite>.</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.gummy.gummy.slashaxis">
-<code class="sig-name descname">slashaxis</code><em class="property"> = True</em><a class="headerlink" href="#metrolopy.gummy.gummy.slashaxis" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.gummy.gummy.solidus">
-<code class="sig-name descname">solidus</code><em class="property"> = True</em><a class="headerlink" href="#metrolopy.gummy.gummy.solidus" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.gummy.gummy.style">
-<code class="sig-name descname">style</code><em class="property"> = 'concise'</em><a class="headerlink" href="#metrolopy.gummy.gummy.style" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.toascii">
-<code class="sig-name descname">toascii</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.toascii" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string with the value formatted so that only ASCII characters
-are used.  All parameters are optional.  Any parameters that are not
-<cite>None</cite> override the corresponding attributes of the calling gummy.  This
-is equivalent to the <cite>gummy.tostring</cite> method with the <cite>fmt</cite> parameter set
-‘ascii’.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.tohtml">
-<code class="sig-name descname">tohtml</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.tohtml" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string with the value as an html fragment.  All parameters
-are optional.  Any parameters that are not <cite>None override the corresponding
-attributes of the calling gummy.  This is equivalent to the gummy.tostring
-method with the `fmt</cite> parameter set to ‘html’.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.tolatex">
-<code class="sig-name descname">tolatex</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.tolatex" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string with the value as an LaTeX fragment.  It is assumed
-that LaTeX is in math mode.  All parameters are optional.  Any parameters
-that are not None override the corresponding attributes of the calling
-gummy.  This is equivalent to the <cite>gummy.tostring</cite> method with the <cite>fmt</cite>
-parameter set to ‘latex’.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.tostring">
-<code class="sig-name descname">tostring</code><span class="sig-paren">(</span><em class="sig-param">fmt=None</em>, <em class="sig-param">style=None</em>, <em class="sig-param">k=None</em>, <em class="sig-param">p=None</em>, <em class="sig-param">show_k=None</em>, <em class="sig-param">show_p=None</em>, <em class="sig-param">show_dof=None</em>, <em class="sig-param">show_name=None</em>, <em class="sig-param">norm=None</em>, <em class="sig-param">raw=False</em>, <em class="sig-param">nsig=None</em>, <em class="sig-param">solidus=None</em>, <em class="sig-param">mulsep=None</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.tostring" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string displaying the value of the gummy in the desired format.
-The <cite>fmt</cite> parameter is a string with the value in {“unicode”,”latex”,
-“html”,”ascii”} or <cite>None</cite>.  <cite>fmt</cite> will default to ‘ascii’ if <cite>self.printer</cite>
-is ‘ascii’ or ‘unicode’ otherwise.  Any other parameters that are not
-<cite>None</cite> override the corresponding attributes of <cite>self</cite>.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.u">
-<em class="property">property </em><code class="sig-name descname">u</code><a class="headerlink" href="#metrolopy.gummy.gummy.u" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets the gummy standard uncertainty in the units given by the <cite>units</cite>
-property (not the <cite>uunits</cite> property).  The standard uncertainty is
-sometimes called the “1-sigma” uncertainty.  The This property is read-only
-and returns a float.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.ubreakdown">
-<em class="property">property </em><code class="sig-name descname">ubreakdown</code><a class="headerlink" href="#metrolopy.gummy.gummy.ubreakdown" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>list</cite> of <cite>str</cite> or <cite>None</cite>, default is <cite>None</cite></p>
-<p>If this is set to a list containing strings referencing utypes then
-when the gummy is printed, the uncertainty from each utype will be
-displayed separately.</p>
-<p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span> <span class="n">a</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">1.2</span><span class="p">,</span><span class="mf">0.2</span><span class="p">,</span><span class="n">utype</span><span class="o">=</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">b</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">3.2</span><span class="p">,</span><span class="mf">0.5</span><span class="p">,</span><span class="n">utype</span><span class="o">=</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">c</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">0.9</span><span class="p">,</span><span class="mf">0.2</span><span class="p">,</span><span class="n">utype</span><span class="o">=</span><span class="s1">&#39;B&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">d</span> <span class="o">=</span> <span class="n">a</span> <span class="o">+</span> <span class="n">b</span> <span class="o">+</span> <span class="n">c</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">d</span>
-<span class="go">5.30(57)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">d</span><span class="o">.</span><span class="n">ubreakdown</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;A&#39;</span><span class="p">,</span><span class="s1">&#39;B&#39;</span><span class="p">]</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">d</span>
-<span class="go">5.30(54)(20)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">d</span><span class="o">.</span><span class="n">style</span> <span class="o">=</span> <span class="s1">&#39;ueq&#39;</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">d</span>
-<span class="go">5.30 with u(A) = 0.54 and u(B) = 0.20</span>
-</pre></div>
-</div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.unicode">
-<code class="sig-name descname">unicode</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.gummy.unicode" title="Permalink to this definition">¶</a></dt>
-<dd><p>Prints the gummy.  All parameters are optional.  Any parameters that are
-not <cite>None</cite> override the corresponding attributes of the calling gummy.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.unit">
-<em class="property">property </em><code class="sig-name descname">unit</code><a class="headerlink" href="#metrolopy.gummy.gummy.unit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets or sets the unit for <cite>x `and, if the `uunit</cite> attribute is
-<cite>None</cite>, the units for the uncertainty.</p>
-<p>If this property is set, a unit conversion will be performed.  The value
-it is set to may be a string, <cite>None</cite>, a <cite>Unit</cite> object, or the integer 1.
-Both 1 and <cite>None</cite> will be interpreted as the Unit instance <cite>one</cite>.</p>
-<p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">0.001</span><span class="p">,</span><span class="mf">0.0000012</span><span class="p">,</span><span class="n">unit</span><span class="o">=</span><span class="s1">&#39;V&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span>
-<span class="go">(0.001 000 0 +/- 0.000 001 2) V</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">unit</span> <span class="o">=</span> <span class="s1">&#39;uV&#39;</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span>
-<span class="go">(1000.0 +/- 1.2) uV</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">uunit</span> <span class="o">=</span> <span class="s1">&#39;%&#39;</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">unit</span> <span class="o">=</span> <span class="s1">&#39;mV&#39;</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span>
-<span class="go">1.0000 mV +/- 0.12%</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">unit</span> <span class="o">=</span> <span class="s1">&#39;uV&#39;</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span>
-<span class="go">1000.0 uV +/- 0.12%</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">uunit</span> <span class="o">=</span> <span class="kc">None</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span>
-<span class="go">(1000.0 +/- 1.2) uV</span>
-</pre></div>
-</div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.usim">
-<em class="property">property </em><code class="sig-name descname">usim</code><a class="headerlink" href="#metrolopy.gummy.gummy.usim" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets the standard deviation of the Monte-Carlo data.  If no simulated
-data is available a <cite>NoSimulatedDataError</cite> will be raised when this property
-is called; see the sim and simulate methods.  This property is read-only.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.uunit">
-<em class="property">property </em><code class="sig-name descname">uunit</code><a class="headerlink" href="#metrolopy.gummy.gummy.uunit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets or sets the units for the expanded uncertainty (see the <cite>U</cite>
-property).  This property may be set to a unit with the same dimension
-as the <cite>unit</cite> property or to a dimensionless unit such at “%” or “ppm”
-in which case <cite>U</cite> will be a relative uncertainty.  Setting <cite>uunit</cite> to <cite>None</cite>
-puts <cite>U</cite> in the units given by the <cite>units</cite> property.</p>
-<p class="rubric">Examples</p>
-<p><cite>U</cite> may be expressed in different units from x by setting the <cite>uunit</cite>
-property.</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mf">0.001</span><span class="p">,</span><span class="n">unit</span><span class="o">=</span><span class="s1">&#39;m&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">uunit</span> <span class="o">=</span> <span class="s1">&#39;mm&#39;</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">U</span>
-<span class="go">1</span>
-</pre></div>
-</div>
-<p>U can also be expressed as a relative uncertainty:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">uunit</span> <span class="o">=</span> <span class="s1">&#39;%&#39;</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">U</span>
-<span class="go">0.05</span>
-</pre></div>
-</div>
-<p>Setting uunit to None changes the units of U back to the original units:
-&gt;&gt;&gt; g.uunit = None
-&gt;&gt;&gt; g.U
-0.001</p>
-<p>More examples:
-&gt;&gt;&gt; g = gummy(0.001,0.0000012,unit=’V’)
-&gt;&gt;&gt; g
-(0.001 000 0 +/- 0.000 001 2) V
-&gt;&gt;&gt; g.unit = ‘uV’
-&gt;&gt;&gt; g
-(1000.0 +/- 1.2) uV
-&gt;&gt;&gt; g.uunit = ‘%’
-&gt;&gt;&gt; g.unit = ‘mV’
-&gt;&gt;&gt; g
-1.0000 mV +/- 0.12%
-&gt;&gt;&gt; g.unit = ‘uV’
-&gt;&gt;&gt; g
-1000.0 uV +/- 0.12%
-&gt;&gt;&gt; g.uunit = None
-&gt;&gt;&gt; g
-(1000.0 +/- 1.2) uV</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.uunit_is_rel">
-<em class="property">property </em><code class="sig-name descname">uunit_is_rel</code><a class="headerlink" href="#metrolopy.gummy.gummy.uunit_is_rel" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns True if gummy.U is a relative uncertainty and False otherwise.
-This property is read-only.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.x">
-<em class="property">property </em><code class="sig-name descname">x</code><a class="headerlink" href="#metrolopy.gummy.gummy.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets the gummy’s value.  Usually this is the mean of the probability
-distribution.  This property is read-only and returns a float.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.gummy.xsim">
-<em class="property">property </em><code class="sig-name descname">xsim</code><a class="headerlink" href="#metrolopy.gummy.gummy.xsim" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets the mean value of the Monte-Carlo data.  If no simulated data is
-available a <cite>NoSimulatedDataError</cite> will be raised when this property is
-called; see the sim and simulate methods.  This property is read-only.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.gummy.jummy">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.gummy.</code><code class="sig-name descname">jummy</code><span class="sig-paren">(</span><em class="sig-param">real=None</em>, <em class="sig-param">imag=None</em>, <em class="sig-param">r=None</em>, <em class="sig-param">phi=None</em>, <em class="sig-param">cov=None</em>, <em class="sig-param">unit=</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.jummy" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.printing.PrettyPrinter" title="metrolopy.printing.PrettyPrinter"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.printing.PrettyPrinter</span></code></a>, <a class="reference internal" href="#metrolopy.dfunc.Dfunc" title="metrolopy.dfunc.Dfunc"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.dfunc.Dfunc</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.gummy.jummy.angle">
-<code class="sig-name descname">angle</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.jummy.angle" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a gummy representing <code class="docutils literal notranslate"><span class="pre">Arg(jummy)</span></code>.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.jummy.conjugate">
-<code class="sig-name descname">conjugate</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.jummy.conjugate" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the (<cite>jummy</cite> valued) complex conjugate.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.jummy.copy">
-<code class="sig-name descname">copy</code><span class="sig-paren">(</span><em class="sig-param">formatting=True</em>, <em class="sig-param">tofloat=False</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.jummy.copy" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a copy of the jummy.  If the <cite>formatting</cite> parameter is
-<cite>True</cite> the display formatting information will be copied and if
-<cite>False</cite> the display formatting will be set to the default for a
-new jummy.  The default for <cite>formatting</cite> is <cite>True</cite>.  If the
-tofloats parameter is True x and u for both the real and
-imaginary components will be converted to floats.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.jummy.cov">
-<em class="property">property </em><code class="sig-name descname">cov</code><a class="headerlink" href="#metrolopy.gummy.jummy.cov" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the variance-covariance matrix between <cite>jummy.real</cite> and
-<cite>jummy.imag</cite>, read-only.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.jummy.imag">
-<em class="property">property </em><code class="sig-name descname">imag</code><a class="headerlink" href="#metrolopy.gummy.jummy.imag" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a <cite>gummy</cite> representing the imaginary part of the value.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.jummy.real">
-<em class="property">property </em><code class="sig-name descname">real</code><a class="headerlink" href="#metrolopy.gummy.jummy.real" title="Permalink to this definition">¶</a></dt>
-<dd><p>read-only
-Returns a <cite>gummy</cite> representing the real part of the value.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.jummy.tofloat">
-<code class="sig-name descname">tofloat</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.jummy.tofloat" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a copy of the gummy with x an u (for both the real and
-imaginary components) converted to floats.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.jummy.tostring">
-<code class="sig-name descname">tostring</code><span class="sig-paren">(</span><em class="sig-param">fmt='unicode'</em>, <em class="sig-param">norm=None</em>, <em class="sig-param">nsig=None</em>, <em class="sig-param">solidus=None</em>, <em class="sig-param">mulsep=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.gummy.jummy.tostring" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.jummy.unit">
-<em class="property">property </em><code class="sig-name descname">unit</code><a class="headerlink" href="#metrolopy.gummy.jummy.unit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets or sets the units of <cite>jummy.real</cite> and <cite>jummy.imag</cite>.  If the
-units of <cite>jummy.real</cite> are different from <cite>jummy.imag</cite> then a
-<cite>tuple</cite> of <cite>Unit</cite> with length 2 is returned.  Otherwise a <cite>Unit</cite>
-instance is returned.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.gummy.jummy.x">
-<em class="property">property </em><code class="sig-name descname">x</code><a class="headerlink" href="#metrolopy.gummy.jummy.x" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns <code class="docutils literal notranslate"><span class="pre">complex(jummy.real.x,jummy.imag.x)</span></code>, read-only</p>
-</dd></dl>
-
-</dd></dl>
-
+<div class="section" id="metrolopy-budget-module">
+<h2>metrolopy.budget module<a class="headerlink" href="#metrolopy-budget-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.logunit">
-<span id="metrolopy-logunit-module"></span><h2>metrolopy.logunit module<a class="headerlink" href="#module-metrolopy.logunit" title="Permalink to this headline">¶</a></h2>
-<p>Unit and Conversion sub-classes are defined here to implement logarithmic
-units.</p>
-<dl class="class">
-<dt id="metrolopy.logunit.LogConversion">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.logunit.</code><code class="sig-name descname">LogConversion</code><span class="sig-paren">(</span><em class="sig-param">reference</em>, <em class="sig-param">multiplier</em>, <em class="sig-param">log_base</em>, <em class="sig-param">log_func</em>, <em class="sig-param">offset=0</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.logunit.LogConversion" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.nonlinearunit.NonlinearConversion" title="metrolopy.nonlinearunit.NonlinearConversion"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.nonlinearunit.NonlinearConversion</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.logunit.LogConversion.copy">
-<code class="sig-name descname">copy</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.logunit.LogConversion.copy" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.logunit.LogUnit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.logunit.</code><code class="sig-name descname">LogUnit</code><span class="sig-paren">(</span><em class="sig-param">*p</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.logunit.LogUnit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.nonlinearunit.NonlinearUnit" title="metrolopy.nonlinearunit.NonlinearUnit"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.nonlinearunit.NonlinearUnit</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.logunit.LogUnit.get_composite">
-<code class="sig-name descname">get_composite</code><span class="sig-paren">(</span><em class="sig-param">ul</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.logunit.LogUnit.get_composite" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.logunit.LogUnit.zero">
-<code class="sig-name descname">zero</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.logunit.LogUnit.zero" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
+<div class="section" id="metrolopy-dfunc-module">
+<h2>metrolopy.dfunc module<a class="headerlink" href="#metrolopy-dfunc-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.mean">
-<span id="metrolopy-mean-module"></span><h2>metrolopy.mean module<a class="headerlink" href="#module-metrolopy.mean" title="Permalink to this headline">¶</a></h2>
-<p>Some miscellaneous functions that are useful for uncertainty analysis.</p>
-<dl class="function">
-<dt id="metrolopy.mean.autocorrelation">
-<code class="sig-prename descclassname">metrolopy.mean.</code><code class="sig-name descname">autocorrelation</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.mean.autocorrelation" title="Permalink to this definition">¶</a></dt>
-<dd><p>Find the de-meaned and normalized autocorrelation of the array x</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.mean.delta_diff">
-<code class="sig-prename descclassname">metrolopy.mean.</code><code class="sig-name descname">delta_diff</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.mean.delta_diff" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a list containing differences of the type:</p>
-<p><code class="docutils literal notranslate"><span class="pre">x[1]</span> <span class="pre">-</span> <span class="pre">(x[0]+x[2])/2</span> <span class="pre">,</span> <span class="pre">(x[1]+x[3])/2</span> <span class="pre">-</span> <span class="pre">x[2],</span> <span class="pre">x[3]</span> <span class="pre">-</span> <span class="pre">(x[2]+x[4])/2,</span> <span class="pre">...</span></code></p>
-<p>Differences of this type are useful when we want the difference between
-alternate points in a data set (e.g. we are alterately switching between
-a signal and a background).  This delta type difference removes the effect
-of a slow drift from the data.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>x</strong> (array_like of <cite>float</cite>) – the data</p>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p></p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite></p>
-</dd>
-</dl>
-<p class="rubric">Notes</p>
-<p>We assume the signal is in the second element (array index 1 and
-all elements with odd indices) and the background is in the first
-element (array index 0 and all elements with even indices).</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.mean.delta_diff_mean">
-<code class="sig-prename descclassname">metrolopy.mean.</code><code class="sig-name descname">delta_diff_mean</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">n_sigma=None</em>, <em class="sig-param">unit=1</em>, <em class="sig-param">bayesian=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.mean.delta_diff_mean" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a gummy representing the mean value and uncertainty of a delta
-type difference taken on the data.  A delta type difference removes a
-linear drift from the data by taking differences:</p>
-<p><code class="docutils literal notranslate"><span class="pre">x[1]</span> <span class="pre">-</span> <span class="pre">(x[0]+x[2])/2</span> <span class="pre">,</span> <span class="pre">(x[1]+x[3])/2</span> <span class="pre">-</span> <span class="pre">x[2],</span> <span class="pre">x[3]</span> <span class="pre">-</span> <span class="pre">(x[2]+x[4])/2,</span> <span class="pre">...</span></code></p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (array_like of <cite>float</cite>) – the data</p></li>
-<li><p><strong>n_sigma</strong> (<cite>int</cite>, optional) – If this is not <cite>None</cite>, then <code class="docutils literal notranslate"><span class="pre">sigma_trim(x,</span> <span class="pre">n_sigma_trim)</span></code> is applied
-to the differences before taking the mean.  Set this argument to <cite>None</cite>
-if you don’t want <cite>sigma_trim</cite> to be applied.  The default value is <cite>None</cite>.</p></li>
-<li><p><strong>unit</strong> (<cite>str</cite>, <cite>Unit</cite> or 1) – The unit of returned gummy.  The default is 1.</p></li>
-<li><p><strong>bayesian</strong> (<cite>bool</cite>, optional) – If bayesian is <cite>False</cite> the standard uncertainty of the returned
-gummy is s/sqrt(n) where s is the standard deviation of x and n is
-the the number of samples (or n_eff).  If bayesian is <cite>True</cite> then
-the standard uncertainty is ((n-1)/(n-3))*s/sqrt(n).  If bayesian
-is <cite>None</cite> then the value of <cite>gummy.bayesian</cite> will be used.  The
-default value is <cite>None</cite>.</p></li>
-</ul>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p>A gummy representing the mean of the differences along with the
-uncertainty and effective degrees of freedom.</p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p><cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.mean.delta_sum">
-<code class="sig-prename descclassname">metrolopy.mean.</code><code class="sig-name descname">delta_sum</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.mean.delta_sum" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a list containing differences of the type:</p>
-<p><code class="docutils literal notranslate"><span class="pre">x[1]</span> <span class="pre">+</span> <span class="pre">(x[0]+x[2])/2</span> <span class="pre">,</span> <span class="pre">(x[1]+x[3])/2</span> <span class="pre">+</span> <span class="pre">x[2],</span> <span class="pre">x[3]</span> <span class="pre">+</span> <span class="pre">(x[2]+x[4])/2,</span> <span class="pre">...</span></code></p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>x</strong> (array_like of <cite>float</cite>) – the data</p>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p></p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p><cite>numpy.ndarray</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.mean.delta_sum_mean">
-<code class="sig-prename descclassname">metrolopy.mean.</code><code class="sig-name descname">delta_sum_mean</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">n_sigma=None</em>, <em class="sig-param">unit=1</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.mean.delta_sum_mean" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a gummy representing the mean value
-and uncertainty of a delta type difference taken on the data.  A delta type
-difference removes a linear drift from the data by taking differences:</p>
-<p><code class="docutils literal notranslate"><span class="pre">x[1]</span> <span class="pre">+</span> <span class="pre">(x[0]+x[2])/2</span> <span class="pre">,</span> <span class="pre">(x[1]+x[3])/2</span> <span class="pre">+</span> <span class="pre">x[2],</span> <span class="pre">x[3]</span> <span class="pre">+</span> <span class="pre">(x[2]+x[4])/2,</span> <span class="pre">...</span></code></p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (array_like of <cite>float</cite>) – the data</p></li>
-<li><p><strong>n_sigma</strong> (<cite>int</cite>, optional) – If this is not <cite>None</cite>, then <code class="docutils literal notranslate"><span class="pre">sigma_trim(x,</span> <span class="pre">n_sigma_trim)</span></code> is applied
-to the differences before taking the mean.  Set this argument to <cite>None</cite>
-if you don’t want <cite>sigma_trim</cite> to be applied.  The default value is <cite>None</cite>.</p></li>
-<li><p><strong>unit</strong> (<cite>str</cite>, <cite>Unit</cite> or 1, optional) – The unit of returned gummy.  The default is 1.</p></li>
-</ul>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p>A gummy representing the mean of the differences along with the uncertainty and
-effective degrees of freedom.</p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p><cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.mean.mean">
-<code class="sig-prename descclassname">metrolopy.mean.</code><code class="sig-name descname">mean</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">n_sigma_trim=3</em>, <em class="sig-param">unit=1</em>, <em class="sig-param">ignore_nan=True</em>, <em class="sig-param">use_n_eff=None</em>, <em class="sig-param">bayesian=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.mean.mean" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a gummy representing the mean of a float array.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (array_like of <cite>float</cite> or <cite>int</cite>) – the value to be averaged</p></li>
-<li><p><strong>n_sigma_trim</strong> (<cite>int</cite>, optional) – If this is not <cite>None</cite>, then <code class="docutils literal notranslate"><span class="pre">sigma_trim(x,</span> <span class="pre">n_sigma_trim)</span></code> is applied
-to the data before taking the mean.  Set this argument to <cite>None</cite> if you
-don’t want <cite>sigma_trim</cite> to be applied.  The default value is 3.</p></li>
-<li><p><strong>unit</strong> (<cite>str</cite>, <cite>Unit</cite> or 1) – The unit of returned gummy.  The default is 1.</p></li>
-<li><p><strong>ignore_nan</strong> (<cite>bool</cite>, optional) – If this is <cite>True</cite>, elements with a <code class="docutils literal notranslate"><span class="pre">float('nan')</span></code> or <cite>None</cite> value will be ignored.
-The default value is <cite>True</cite></p></li>
-<li><p><strong>use_n_eff</strong> (<cite>bool</cite>, optional) – Whether to use the <cite>n_eff</cite> function to calculate an effective number of degrees of freedom.
-If use_n_eff is <cite>None</cite>, then <cite>n_eff</cite> will be used if the length of x is greater or equal
-to 20.  The default value is <cite>None</cite>.</p></li>
-<li><p><strong>bayesian</strong> (<cite>bool</cite>, optional) – If bayesian is <cite>False</cite> the standard uncertainty of the returned
-gummy is s/sqrt(n) where s is the standard deviation of x and n is
-the the number of samples (or n_eff).  If bayesian is <cite>True</cite> then
-the standard uncertainty is ((n-1)/(n-3))*s/sqrt(n).  If bayesian
-is <cite>None</cite> then the value of <cite>gummy.bayesian</cite> will be used.  The
-default value is <cite>None</cite>.</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.mean.mean_datetime">
-<code class="sig-prename descclassname">metrolopy.mean.</code><code class="sig-name descname">mean_datetime</code><span class="sig-paren">(</span><em class="sig-param">*params</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.mean.mean_datetime" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.mean.n_eff">
-<code class="sig-prename descclassname">metrolopy.mean.</code><code class="sig-name descname">n_eff</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">y=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.mean.n_eff" title="Permalink to this definition">¶</a></dt>
-<dd><p>Takes a series of data points which may be
-correlated and uses the auto-correlation of the set to find an effective
-number of data points such that an estimate of the standard uncertainty is
-(standard deviation)/sqrt(n_eff).</p>
-<p>See [N.F. Zhang, Metrologia, 43, S276 (2006)] for details.</p>
-<p>If only one argument is given it is assumed that the argument represents
-an array of evenly spaced values.  This list may be a masked array, in
-which case the masked values are filled in with a linear interpolation.</p>
-<p>If two arguments are passed to n_eff, then it is assumed that the two
-arrays represent an array of x values followed by an array representing
-the corresponding y values of a set (x,y) points.  A cubic spline
-interpolation is used to get a set of evently spaced points.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>A float that represents the effective number of data points.</p>
-</dd>
-<dt class="field-even">Return type</dt>
-<dd class="field-even"><p><cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.mean.sigma_trim">
-<code class="sig-prename descclassname">metrolopy.mean.</code><code class="sig-name descname">sigma_trim</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">n_sigma=3</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.mean.sigma_trim" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a masked array with data attribute equal to <cite>x</cite> and any elements
-more the <cite>n_sigma</cite> standard deviations from the mean masked.  (The
-standard deviation is calculated excluding the masked outliers.)</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.mean.wmean">
-<code class="sig-prename descclassname">metrolopy.mean.</code><code class="sig-name descname">wmean</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">chi_correct=False</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.mean.wmean" title="Permalink to this definition">¶</a></dt>
-<dd><p>Takes an array of gummys and returns the weighted mean with weights that
-minimize the uncertainty of the returned value (taking into account correlations)</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (array_like of <cite>gummy</cite>) – the values to be averaged</p></li>
-<li><p><strong>chi_correct</strong> (<cite>bool</cite>, optional) – If this is <cite>True</cite>, the uncertainty of the returned value is multiplied by the
-square root of the reduced chi-squared of the residuals to take into account
-any under estimation of the uncertainties in <cite>x</cite>.  The default is <cite>False</cite></p></li>
-</ul>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p>a gummy representing the weighted mean</p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p><cite>gummy</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="section" id="metrolopy-distributions-module">
+<h2>metrolopy.distributions module<a class="headerlink" href="#metrolopy-distributions-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.nonlinearunit">
-<span id="metrolopy-nonlinearunit-module"></span><h2>metrolopy.nonlinearunit module<a class="headerlink" href="#module-metrolopy.nonlinearunit" title="Permalink to this headline">¶</a></h2>
-<p>This module defines the Nonlinear Unit and Nonlinear Conversion abstract
-classes that are the base class for the LogUnit and OffsetUnit classes.</p>
-<dl class="class">
-<dt id="metrolopy.nonlinearunit.NonlinearConversion">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.nonlinearunit.</code><code class="sig-name descname">NonlinearConversion</code><span class="sig-paren">(</span><em class="sig-param">unit</em>, <em class="sig-param">factor=1</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.NonlinearConversion" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.unit.Conversion" title="metrolopy.unit.Conversion"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.unit.Conversion</span></code></a></p>
-<p>Base class for non-linear conversions.</p>
-<dl class="method">
-<dt id="metrolopy.nonlinearunit.NonlinearConversion.chain">
-<code class="sig-name descname">chain</code><span class="sig-paren">(</span><em class="sig-param">c</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.NonlinearConversion.chain" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nonlinearunit.NonlinearConversion.copy">
-<code class="sig-name descname">copy</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.NonlinearConversion.copy" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.nonlinearunit.NonlinearConversion.linear">
-<code class="sig-name descname">linear</code><em class="property"> = False</em><a class="headerlink" href="#metrolopy.nonlinearunit.NonlinearConversion.linear" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nonlinearunit.NonlinearConversion.pow">
-<code class="sig-name descname">pow</code><span class="sig-paren">(</span><em class="sig-param">e</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.NonlinearConversion.pow" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nonlinearunit.NonlinearConversion.rchain">
-<code class="sig-name descname">rchain</code><span class="sig-paren">(</span><em class="sig-param">c</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.NonlinearConversion.rchain" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.nonlinearunit.NonlinearUnit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.nonlinearunit.</code><code class="sig-name descname">NonlinearUnit</code><span class="sig-paren">(</span><em class="sig-param">name</em>, <em class="sig-param">symbol</em>, <em class="sig-param">conversion=None</em>, <em class="sig-param">short_name=None</em>, <em class="sig-param">add_symbol=False</em>, <em class="sig-param">html_symbol=None</em>, <em class="sig-param">latex_symbol=None</em>, <em class="sig-param">ascii_symbol=None</em>, <em class="sig-param">description=None</em>, <em class="sig-param">order=-1</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.NonlinearUnit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.unit.Unit" title="metrolopy.unit.Unit"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.unit.Unit</span></code></a></p>
-<p>Base class of non-linear units.</p>
-<dl class="method">
-<dt id="metrolopy.nonlinearunit.NonlinearUnit.from_uunit">
-<code class="sig-name descname">from_uunit</code><span class="sig-paren">(</span><em class="sig-param">u</em>, <em class="sig-param">unit</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.NonlinearUnit.from_uunit" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nonlinearunit.NonlinearUnit.get_composite">
-<code class="sig-name descname">get_composite</code><span class="sig-paren">(</span><em class="sig-param">ul</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.NonlinearUnit.get_composite" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.nonlinearunit.NonlinearUnit.linear">
-<code class="sig-name descname">linear</code><em class="property"> = False</em><a class="headerlink" href="#metrolopy.nonlinearunit.NonlinearUnit.linear" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nonlinearunit.NonlinearUnit.to_uunit">
-<code class="sig-name descname">to_uunit</code><span class="sig-paren">(</span><em class="sig-param">u</em>, <em class="sig-param">unit</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.NonlinearUnit.to_uunit" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nonlinearunit.NonlinearUnit.zero">
-<code class="sig-name descname">zero</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.NonlinearUnit.zero" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.nonlinearunit.ReciprocalConversion">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.nonlinearunit.</code><code class="sig-name descname">ReciprocalConversion</code><span class="sig-paren">(</span><em class="sig-param">conversion</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.ReciprocalConversion" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.nonlinearunit.NonlinearConversion" title="metrolopy.nonlinearunit.NonlinearConversion"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.nonlinearunit.NonlinearConversion</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.nonlinearunit.ReciprocalConversion.chain">
-<code class="sig-name descname">chain</code><span class="sig-paren">(</span><em class="sig-param">c</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.ReciprocalConversion.chain" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nonlinearunit.ReciprocalConversion.copy">
-<code class="sig-name descname">copy</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.ReciprocalConversion.copy" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nonlinearunit.ReciprocalConversion.frm">
-<code class="sig-name descname">frm</code><span class="sig-paren">(</span><em class="sig-param">g</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.ReciprocalConversion.frm" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nonlinearunit.ReciprocalConversion.to">
-<code class="sig-name descname">to</code><span class="sig-paren">(</span><em class="sig-param">g</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nonlinearunit.ReciprocalConversion.to" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
+<div class="section" id="metrolopy-exceptions-module">
+<h2>metrolopy.exceptions module<a class="headerlink" href="#metrolopy-exceptions-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.nummy">
-<span id="metrolopy-nummy-module"></span><h2>metrolopy.nummy module<a class="headerlink" href="#module-metrolopy.nummy" title="Permalink to this headline">¶</a></h2>
-<p>The nummy object defined here was created as a super-class for gummy,
-integrating the Monte-Carlo uncertainty propagation code in the distributions
-module with the ummy object.</p>
-<dl class="class">
-<dt id="metrolopy.nummy.MetaNummy">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.nummy.</code><code class="sig-name descname">MetaNummy</code><a class="headerlink" href="#metrolopy.nummy.MetaNummy" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">type</span></code></p>
-<dl class="method">
-<dt id="metrolopy.nummy.MetaNummy.bayesian">
-<em class="property">property </em><code class="sig-name descname">bayesian</code><a class="headerlink" href="#metrolopy.nummy.MetaNummy.bayesian" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>bool</cite></p>
-<p>Read/write at the class level, but read-only at the instance level.
-The default value is <cite>False</cite>; this should only be changed once at the
-beginning of the session.  This property affects how the level of
-confidence <cite>p</cite> (sometimes called coverage probability) of an expanded
-uncertainty is related to the coverage factor <cite>k</cite> for a gummy based on
-data with finite degrees of freedom.</p>
-<p>Standard uncertainties are often based on the standard deviation of a set
-of measurements (and the assumption that these measurements are drawn
-from a normally distributed population).  Traditionally (e.g. the GUM
-2008 edition) the standard uncertainty is taken to be the standard
-deviation of the mean (s/sqrt(n), where s is the sample standard deviation
-and n is the number of measurements).  However there is some “extra
-uncertainty” because the sample standard devation not exactly equal to
-the population standard deviation.  This is taken into account by using
-a Student’s t distribution to calculate the expanded uncertainty.  However
-it has been pointed out, by those who advocate a Bayesian point of view,
-that the probability distribution for the measurand here is best described
-by a shifted and scaled Student’s t distribution.  So the standard
-uncertainty should be the standard deviation of this distribution which
-is s*sqrt{(n-1)/[n*(n-3)]}.  Thus</p>
-<p>u(bayesian) = [dof/(dof - 2)]*u(traditional)</p>
-<p>where dof = n - 1 and the “extra uncertainty” is incorporated directly
-into the standard uncertainty.</p>
-<p class="rubric">Example</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">gummy</span><span class="o">.</span><span class="n">bayesian</span> <span class="o">=</span> <span class="kc">True</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mf">0.03</span><span class="p">,</span><span class="n">dof</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span><span class="o">.</span><span class="n">bayesian</span>
-<span class="go">True</span>
-</pre></div>
+<div class="section" id="metrolopy-fit-module">
+<h2>metrolopy.fit module<a class="headerlink" href="#metrolopy-fit-module" title="Permalink to this headline">¶</a></h2>
 </div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.MetaNummy.cimethod">
-<em class="property">property </em><code class="sig-name descname">cimethod</code><a class="headerlink" href="#metrolopy.nummy.MetaNummy.cimethod" title="Permalink to this definition">¶</a></dt>
-<dd><p>str in {‘shortest’, ‘symmetric’}</p>
-<p>Get or set the method for calculating the confidence interval from
-Monte-Carlo data.  If this property is set at the class level, it will
-change the default <cite>cimethod</cite> value for new gummys but will not affect
-gummys that have already been created.</p>
-<p>Can be set either to the string ‘shortest’ or the string ‘symmetric’.
-This property gets or sets the method for calculating confidence
-intervals from Monte-Carlo data.</p>
-<p>If it is set to ‘shortest’, the confidence interval will be taken to be
-the shortest interval that includes the desired fraction of the probability
-distribution.</p>
-<p>If it is set to ‘symmetric’, then the confidence interval will be set so
-that, for n Monte-Carlo samples and a coverage probability of <cite>p</cite>, then
-<cite>n`*(1-`p</cite>)/2 samples lie below the lower limit of the confidence interval
-and the same number of samples lie above the upper limit of the confidence
-interval.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.MetaNummy.mcpropagate">
-<em class="property">property </em><code class="sig-name descname">mcpropagate</code><a class="headerlink" href="#metrolopy.nummy.MetaNummy.mcpropagate" title="Permalink to this definition">¶</a></dt>
-<dd><p>Setting this property to <cite>False</cite> turns of the code for Monte-Carlo
-uncertainty propagation.  This property should only be set once, before
-any gummy instances are created.  Turning <cite>mcpropagate</cite> off then on again
-may have unpredictable results.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.nummy.nummy">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.nummy.</code><code class="sig-name descname">nummy</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">u=0</em>, <em class="sig-param">dof=inf</em>, <em class="sig-param">utype=None</em>, <em class="sig-param">name=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nummy.nummy" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.ummy.ummy" title="metrolopy.ummy.ummy"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.ummy.ummy</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.Usim">
-<em class="property">property </em><code class="sig-name descname">Usim</code><a class="headerlink" href="#metrolopy.nummy.nummy.Usim" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.nummy.nummy.bayesian">
-<code class="sig-name descname">bayesian</code><em class="property"> = False</em><a class="headerlink" href="#metrolopy.nummy.nummy.bayesian" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.nummy.nummy.cimethod">
-<code class="sig-name descname">cimethod</code><em class="property"> = 'shortest'</em><a class="headerlink" href="#metrolopy.nummy.nummy.cimethod" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.cisim">
-<em class="property">property </em><code class="sig-name descname">cisim</code><a class="headerlink" href="#metrolopy.nummy.nummy.cisim" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.correlation_matrix_sim">
-<em class="property">static </em><code class="sig-name descname">correlation_matrix_sim</code><span class="sig-paren">(</span><em class="sig-param">gummys</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nummy.nummy.correlation_matrix_sim" title="Permalink to this definition">¶</a></dt>
-<dd><p>The staticmethod takes a list of gummys an returns the correlation
-matrix calculated from Monte-Carlo data.  The return value is numpy
-ndarray.</p>
-<p>See the method <cite>gummy.correlation_matrix(gummys)</cite> for the corresponding
-result based on first order error propagation.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.correlation_sim">
-<code class="sig-name descname">correlation_sim</code><span class="sig-paren">(</span><em class="sig-param">g</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nummy.nummy.correlation_sim" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the correlation coefficient, calculated from Monte-Carlo data,
-between the owning gummy and the gummy <cite>g</cite>.</p>
-<p>See the method <cite>gummy.correlation(g)</cite> for the corresponding result based
-on first order error propagation.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.covariance_matrix_sim">
-<em class="property">static </em><code class="sig-name descname">covariance_matrix_sim</code><span class="sig-paren">(</span><em class="sig-param">gummys</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nummy.nummy.covariance_matrix_sim" title="Permalink to this definition">¶</a></dt>
-<dd><p>The staticmethod takes a list of gummys an returns the variance-covariance
-matrix calculated from Monte-Carlo data.  The return value is numpy
-ndarray.</p>
-<p>See the method gummy.covariance_matrix(gummys) for the corresponding
-result based on first order error propagation.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.covariance_sim">
-<code class="sig-name descname">covariance_sim</code><span class="sig-paren">(</span><em class="sig-param">g</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nummy.nummy.covariance_sim" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the covariance, calculated from Monte-Carlo data, between the
-owning gummy and the gummy <cite>g.</cite></p>
-<p>See the method <cite>gummy.covariance(g)</cite> for the corresponding result based
-on first order error propagation.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.covplot">
-<em class="property">static </em><code class="sig-name descname">covplot</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">y</em>, <em class="sig-param">title=None</em>, <em class="sig-param">xlabel=None</em>, <em class="sig-param">ylabel=None</em>, <em class="sig-param">hold=False</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nummy.nummy.covplot" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.create">
-<em class="property">classmethod </em><code class="sig-name descname">create</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">u=0</em>, <em class="sig-param">dof=inf</em>, <em class="sig-param">name=None</em>, <em class="sig-param">correlation_matrix=None</em>, <em class="sig-param">covariance_matrix=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nummy.nummy.create" title="Permalink to this definition">¶</a></dt>
-<dd><p>A class method that creates a list of (possibly) correlated ummys.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> – A list of floats corresponding to the x-value of each ummy.</p></li>
-<li><p><strong>u, dof, k, loc, utype</strong> (<em>optional</em>) – Lists that correspond to the
-parameters in the ummy initializer (with the i-th value in each
-list passed to the initializer for the i-th ummy).  These may also be a single
-value with this same value is to passed to each initializer.</p></li>
-<li><p><strong>correlation_matrix</strong> (<em>optional</em>) – A list or array to be used as the correlation
-matrix of the ummys. This is optional and must be set to the
-default value of None if the covariance_matrix is specified.
-If both the correlation_matrix and the covariance_matrix are
-None (or omitted) then the ummys will be uncorrelated.</p></li>
-<li><p><strong>covariance_matrix</strong> (<em>optional</em>) – A list or array to be used as the variance-
-covariance matrix of the ummys.  If the covariance matrix is
-specified the u parameter will be ignored  This parameter is
-optional and must be set to the default value of None if the
-correlation_matrix is specified.  If both the correlation_matrix
-and the covariance_matrix are None (or omitted) then the ummys
-will be uncorrelated.</p></li>
-</ul>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p></p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p>a list of ummys</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.distribution">
-<em class="property">property </em><code class="sig-name descname">distribution</code><a class="headerlink" href="#metrolopy.nummy.nummy.distribution" title="Permalink to this definition">¶</a></dt>
-<dd><p>read-only</p>
-<p>Returns ths <cite>Distribution</cite> instance associated with the gummy.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.dof">
-<em class="property">property </em><code class="sig-name descname">dof</code><a class="headerlink" href="#metrolopy.nummy.nummy.dof" title="Permalink to this definition">¶</a></dt>
-<dd><p>float, read-only</p>
-<p>Returns the number or degrees of freedom that the uncertainty of the
-gummy is based on.  If <cite>gummy.bayesian</cite> is set to <cite>False</cite>, then the Welch-
-Satterthwaite approximation is used to calculate the effective number
-of degrees of freedom for gummys that result from an operation between
-two or more other gummys.  A version of the Welch-Satterthwaite
-approximation that takes into account correlations is used here, see
-[R. Willink, Metrologia, 44, 340 (2007)].  If <cite>gummy.bayesian</cite> is <cite>True</cite>
-then gummys that are the result from an opertaion between other gummys
-will always have dof = float(‘inf’).</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.hist">
-<code class="sig-name descname">hist</code><span class="sig-paren">(</span><em class="sig-param">xlabel=None</em>, <em class="sig-param">title=None</em>, <em class="sig-param">hold=False</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nummy.nummy.hist" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.independent">
-<em class="property">property </em><code class="sig-name descname">independent</code><a class="headerlink" href="#metrolopy.nummy.nummy.independent" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>bool</cite>, read-only</p>
-<p>Returns <cite>False</cite> if the owning gummy was created from a operation involving
-other gummys and <cite>True</cite> otherwise.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.ksim">
-<em class="property">property </em><code class="sig-name descname">ksim</code><a class="headerlink" href="#metrolopy.nummy.nummy.ksim" title="Permalink to this definition">¶</a></dt>
-<dd><p>read-only</p>
-<p>Returns <code class="docutils literal notranslate"><span class="pre">0.5*(gummy.Usim[0]</span> <span class="pre">+</span> <span class="pre">gummy.Usim[1])/gummy.usim</span></code></p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.p">
-<em class="property">property </em><code class="sig-name descname">p</code><a class="headerlink" href="#metrolopy.nummy.nummy.p" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.set_seed">
-<em class="property">static </em><code class="sig-name descname">set_seed</code><span class="sig-paren">(</span><em class="sig-param">seed</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nummy.nummy.set_seed" title="Permalink to this definition">¶</a></dt>
-<dd><p>Sets the seed for the numpy.random.RandomState object shared by all
-<cite>Distribution</cite> instances.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.simdata">
-<em class="property">property </em><code class="sig-name descname">simdata</code><a class="headerlink" href="#metrolopy.nummy.nummy.simdata" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>numpy.ndarray</cite>, read-only</p>
-<p>Returns an array containing the Monte-Carlo simulation data.  A
-<cite>NoSimulatedDataError</cite> is raised if no Monte-Carlo data is available.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.simsorted">
-<em class="property">property </em><code class="sig-name descname">simsorted</code><a class="headerlink" href="#metrolopy.nummy.nummy.simsorted" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>numpy.ndarray</cite>, read-only</p>
-<p>Returns a sorted array containing the Monte-Carlo simulation data.  A
-<cite>NoSimulatedDataError</cite> is raised if no Monte-Carlo data is available.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.simulate">
-<em class="property">static </em><code class="sig-name descname">simulate</code><span class="sig-paren">(</span><em class="sig-param">nummys</em>, <em class="sig-param">n=100000</em>, <em class="sig-param">ufrom=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nummy.nummy.simulate" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.ufrom">
-<code class="sig-name descname">ufrom</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">sim=False</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.nummy.nummy.ufrom" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets the standard uncertainty contributed from particular gummys
-or utypes if all other free variables are held fixed.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>x</strong> (<cite>gummy</cite>, <cite>str</cite>, or array_like) – A gummy, a string referencing a utype or a list containing
-gummys and strings.</p>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p></p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p><cite>float</cite></p>
-</dd>
-</dl>
-<p class="rubric">Example</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span> <span class="n">a</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">1.2</span><span class="p">,</span><span class="mf">0.2</span><span class="p">,</span><span class="n">utype</span><span class="o">=</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">b</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">3.2</span><span class="p">,</span><span class="mf">0.5</span><span class="p">,</span><span class="n">utype</span><span class="o">=</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">c</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">0.9</span><span class="p">,</span><span class="mf">0.2</span><span class="p">,</span><span class="n">utype</span><span class="o">=</span><span class="s1">&#39;B&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">d</span> <span class="o">=</span> <span class="n">a</span> <span class="o">+</span> <span class="n">b</span> <span class="o">+</span> <span class="n">c</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">d</span><span class="o">.</span><span class="n">ufrom</span><span class="p">(</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
-<span class="go">0.53851648071345048</span>
-</pre></div>
+<div class="section" id="metrolopy-functions-module">
+<h2>metrolopy.functions module<a class="headerlink" href="#metrolopy-functions-module" title="Permalink to this headline">¶</a></h2>
 </div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.usim">
-<em class="property">property </em><code class="sig-name descname">usim</code><a class="headerlink" href="#metrolopy.nummy.nummy.usim" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.nummy.nummy.xsim">
-<em class="property">property </em><code class="sig-name descname">xsim</code><a class="headerlink" href="#metrolopy.nummy.nummy.xsim" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
+<div class="section" id="metrolopy-gummy-module">
+<h2>metrolopy.gummy module<a class="headerlink" href="#metrolopy-gummy-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.offsetunit">
-<span id="metrolopy-offsetunit-module"></span><h2>metrolopy.offsetunit module<a class="headerlink" href="#module-metrolopy.offsetunit" title="Permalink to this headline">¶</a></h2>
-<p>The OffsetUnit class was created to handle Celsius and Fahrenheit units.</p>
-<dl class="class">
-<dt id="metrolopy.offsetunit.OffsetConversion">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.offsetunit.</code><code class="sig-name descname">OffsetConversion</code><span class="sig-paren">(</span><em class="sig-param">unit</em>, <em class="sig-param">offset</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.offsetunit.OffsetConversion" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.nonlinearunit.NonlinearConversion" title="metrolopy.nonlinearunit.NonlinearConversion"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.nonlinearunit.NonlinearConversion</span></code></a></p>
-<p>Represents a conversion of the form x -&gt; x + offset.</p>
-<dl class="method">
-<dt id="metrolopy.offsetunit.OffsetConversion.copy">
-<code class="sig-name descname">copy</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.offsetunit.OffsetConversion.copy" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.offsetunit.OffsetUnit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.offsetunit.</code><code class="sig-name descname">OffsetUnit</code><span class="sig-paren">(</span><em class="sig-param">*params</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.offsetunit.OffsetUnit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.nonlinearunit.NonlinearUnit" title="metrolopy.nonlinearunit.NonlinearUnit"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.nonlinearunit.NonlinearUnit</span></code></a></p>
-<p>This class was created to handle units such as the degree Celsius and the
-degree Fahrenheit.  This class takes the same parameters as the Unit class,
-but actually creates two unit instances…</p>
-<dl class="method">
-<dt id="metrolopy.offsetunit.OffsetUnit.zero">
-<code class="sig-name descname">zero</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.offsetunit.OffsetUnit.zero" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
+<div class="section" id="metrolopy-logunit-module">
+<h2>metrolopy.logunit module<a class="headerlink" href="#metrolopy-logunit-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.pmethod">
-<span id="metrolopy-pmethod-module"></span><h2>metrolopy.pmethod module<a class="headerlink" href="#module-metrolopy.pmethod" title="Permalink to this headline">¶</a></h2>
-<p>Functions and classes for converting between coverage factor k and level of
-confidence p.</p>
-<dl class="function">
-<dt id="metrolopy.pmethod.ccp_from_k">
-<code class="sig-prename descclassname">metrolopy.pmethod.</code><code class="sig-name descname">ccp_from_k</code><span class="sig-paren">(</span><em class="sig-param">k</em>, <em class="sig-param">dof=inf</em>, <em class="sig-param">bayesian=False</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.pmethod.ccp_from_k" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.pmethod.conservative_coverage_probability">
-<code class="sig-prename descclassname">metrolopy.pmethod.</code><code class="sig-name descname">conservative_coverage_probability</code><span class="sig-paren">(</span><em class="sig-param">p</em>, <em class="sig-param">dof=inf</em>, <em class="sig-param">bayesian=False</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.pmethod.conservative_coverage_probability" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.pmethod.coverage_factor">
-<code class="sig-prename descclassname">metrolopy.pmethod.</code><code class="sig-name descname">coverage_factor</code><span class="sig-paren">(</span><em class="sig-param">p</em>, <em class="sig-param">dof=inf</em>, <em class="sig-param">bayesian=False</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.pmethod.coverage_factor" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the k factor for a given level of confidence and degrees of freedom
-calculated from a normal or Student’s t distribution</p>
-<p>Parameters:</p>
-<dl class="simple">
-<dt>p:  <cite>float</cite></dt><dd><p>The level of confidence (as a fraction of 1).</p>
-</dd>
-<dt>dof:  <cite>float</cite> or <cite>int</cite>,</dt><dd><p>optional (default is float(‘inf’)), the degrees of freedom.</p>
-</dd>
-</dl>
-<dl class="field-list simple">
-<dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p></p>
-</dd>
-<dt class="field-even">Return type</dt>
-<dd class="field-even"><p><cite>float</cite></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.pmethod.coverage_probability">
-<code class="sig-prename descclassname">metrolopy.pmethod.</code><code class="sig-name descname">coverage_probability</code><span class="sig-paren">(</span><em class="sig-param">p</em>, <em class="sig-param">dof=inf</em>, <em class="sig-param">bayesian=False</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.pmethod.coverage_probability" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.pmethod.cp_from_k">
-<code class="sig-prename descclassname">metrolopy.pmethod.</code><code class="sig-name descname">cp_from_k</code><span class="sig-paren">(</span><em class="sig-param">k</em>, <em class="sig-param">dof=inf</em>, <em class="sig-param">bayesian=False</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.pmethod.cp_from_k" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.pmethod.loc_from_k">
-<code class="sig-prename descclassname">metrolopy.pmethod.</code><code class="sig-name descname">loc_from_k</code><span class="sig-paren">(</span><em class="sig-param">k</em>, <em class="sig-param">dof=inf</em>, <em class="sig-param">bayesian=False</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.pmethod.loc_from_k" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the level of confidence given a coverage factor k and degrees of
-freedom for a Student’s t distribution.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>k</strong> – <cite>float</cite>
-coverage factor.</p></li>
-<li><p><strong>dof</strong> – <cite>float</cite> or <cite>int</cite>, optional
-(default is float(‘inf’)), the degrees of freedom.</p></li>
-</ul>
-</dd>
-</dl>
-<p>Returns:  float</p>
-</dd></dl>
-
+<div class="section" id="metrolopy-mean-module">
+<h2>metrolopy.mean module<a class="headerlink" href="#metrolopy-mean-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.prefixedunit">
-<span id="metrolopy-prefixedunit-module"></span><h2>metrolopy.prefixedunit module<a class="headerlink" href="#module-metrolopy.prefixedunit" title="Permalink to this headline">¶</a></h2>
-<p>Classes to automatically generate prefixed units from a base unit.</p>
-<dl class="class">
-<dt id="metrolopy.prefixedunit.BinaryPrefixedUnit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.prefixedunit.</code><code class="sig-name descname">BinaryPrefixedUnit</code><span class="sig-paren">(</span><em class="sig-param">name</em>, <em class="sig-param">symbol</em>, <em class="sig-param">conversion=None</em>, <em class="sig-param">short_name=None</em>, <em class="sig-param">additional_names=None</em>, <em class="sig-param">additional_short_names=None</em>, <em class="sig-param">add_symbol=False</em>, <em class="sig-param">html_symbol=None</em>, <em class="sig-param">latex_symbol=None</em>, <em class="sig-param">ascii_symbol=None</em>, <em class="sig-param">linear=True</em>, <em class="sig-param">description=None</em>, <em class="sig-param">order=-1</em>, <em class="sig-param">prefixes=None</em>, <em class="sig-param">base_prefix=None</em>, <em class="sig-param">base_description=None</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.prefixedunit.BinaryPrefixedUnit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.prefixedunit.PrefixedUnit" title="metrolopy.prefixedunit.PrefixedUnit"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.prefixedunit.PrefixedUnit</span></code></a></p>
-<dl class="simple">
-<dt>PrefixedUnit(name,symbol,conversion=None,short_name=None,</dt><dd><p>additional_names=None,additional_short_names=None,
-add_symbol=False,html_symbol=None,latex_symbol=None,
-ascii_symbol=None,description=None,order=-1,prefixes=None,
-base_prefix=None,base_description=None)</p>
-</dd>
-</dl>
-<p>Creating an instance of this class not only creates the base unit but also
-adds units with with a set of prefixes to the unit library.</p>
-<p>If the <cite>prefixes</cite> keyword is <cite>None</cite> then units with the following prefixes will
-be generated:  kibi, mebi, gibi, tebi, pebi, exbi, zibi, yobi, kilo, mega,
-giga, tera, peta, exa, zetta and yotta.</p>
-<dl class="attribute">
-<dt id="metrolopy.prefixedunit.BinaryPrefixedUnit.prefix_definitions">
-<code class="sig-name descname">prefix_definitions</code><em class="property"> = {'exa': [1e+18, 'E', None, None, None], 'exbi': [1152921504606846976, 'Ei', None, None, None], 'gibi': [1073741824, 'Gi', None, None, None], 'giga': [1000000000.0, 'G', None, None, None], 'kibi': [1024, 'Ki', None, None, None], 'kilo': [1000, 'k', None, None, None], 'mebi': [1048576, 'Mi', None, None, None], 'mega': [1000000.0, 'M', None, None, None], 'pebi': [1125899906842624, 'Pi', None, None, None], 'peta': [1000000000000000.0, 'P', None, None, None], 'tebi': [1099511627776, 'Ti', None, None, None], 'tera': [1000000000000.0, 'T', None, None, None], 'yobi': [1208925819614629174706176, 'Yi', None, None, None], 'yotta': [1e+24, 'Y', None, None, None], 'zetta': [1e+21, 'Z', None, None, None], 'zibi': [1180591620717411303424, 'Zi', None, None, None]}</em><a class="headerlink" href="#metrolopy.prefixedunit.BinaryPrefixedUnit.prefix_definitions" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.prefixedunit.PrefixedUnit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.prefixedunit.</code><code class="sig-name descname">PrefixedUnit</code><span class="sig-paren">(</span><em class="sig-param">name</em>, <em class="sig-param">symbol</em>, <em class="sig-param">conversion=None</em>, <em class="sig-param">short_name=None</em>, <em class="sig-param">additional_names=None</em>, <em class="sig-param">additional_short_names=None</em>, <em class="sig-param">add_symbol=False</em>, <em class="sig-param">html_symbol=None</em>, <em class="sig-param">latex_symbol=None</em>, <em class="sig-param">ascii_symbol=None</em>, <em class="sig-param">linear=True</em>, <em class="sig-param">description=None</em>, <em class="sig-param">order=-1</em>, <em class="sig-param">prefixes=None</em>, <em class="sig-param">base_prefix=None</em>, <em class="sig-param">base_description=None</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.prefixedunit.PrefixedUnit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.unit.Unit" title="metrolopy.unit.Unit"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.unit.Unit</span></code></a></p>
-<dl class="simple">
-<dt>PrefixedUnit(name,symbol,conversion=None,short_name=None,</dt><dd><p>additional_names=None,additional_short_names=None,
-add_symbol=False,html_symbol=None,latex_symbol=None,
-ascii_symbol=None,description=None,order=-1,prefixes=None,
-base_prefix=None,base_description=None)</p>
-</dd>
-</dl>
-<p>Creating an instance of this class not only creates the base unit but also
-adds units with with a set of prefixes to the unit library.</p>
-<p>If the <cite>prefixes</cite> keyword is <cite>None</cite> then units with the standard SI prefixes
-will be generated.</p>
-<dl class="attribute">
-<dt id="metrolopy.prefixedunit.PrefixedUnit.prefix_definitions">
-<code class="sig-name descname">prefix_definitions</code><em class="property"> = {'atto': [1e-18, 'a', None, None, None], 'centi': [0.01, 'c', None, None, None], 'deca': [10, 'da', None, None, None], 'deci': [0.1, 'd', None, None, None], 'exa': [1e+18, 'E', None, None, None], 'femto': [1e-15, 'f', None, None, None], 'giga': [1000000000.0, 'G', None, None, None], 'hecto': [100, 'h', None, None, None], 'kilo': [1000, 'k', None, None, None], 'mega': [1000000, 'M', None, None, None], 'micro': [1e-06, 'μ', '&amp;mu;', None, 'u'], 'milli': [0.001, 'm', None, None, None], 'nano': [1e-09, 'n', None, None, None], 'peta': [1000000000000000.0, 'P', None, None, None], 'pico': [1e-12, 'p', None, None, None], 'tera': [1000000000000.0, 'T', None, None, None], 'yocto': [1e-24, 'y', None, None, None], 'yotta': [1e+24, 'Y', None, None, None], 'zepto': [1e-21, 'z', None, None, None], 'zetta': [1e+21, 'Z', None, None, None]}</em><a class="headerlink" href="#metrolopy.prefixedunit.PrefixedUnit.prefix_definitions" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
+<div class="section" id="metrolopy-nonlinearunit-module">
+<h2>metrolopy.nonlinearunit module<a class="headerlink" href="#metrolopy-nonlinearunit-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.printing">
-<span id="metrolopy-printing-module"></span><h2>metrolopy.printing module<a class="headerlink" href="#module-metrolopy.printing" title="Permalink to this headline">¶</a></h2>
-<p>This module contains code to support pretty printing of gummys using LaTex and
-HTML.</p>
-<dl class="class">
-<dt id="metrolopy.printing.MetaPrettyPrinter">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.printing.</code><code class="sig-name descname">MetaPrettyPrinter</code><a class="headerlink" href="#metrolopy.printing.MetaPrettyPrinter" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">type</span></code></p>
-<dl class="method">
-<dt id="metrolopy.printing.MetaPrettyPrinter.printer">
-<em class="property">property </em><code class="sig-name descname">printer</code><a class="headerlink" href="#metrolopy.printing.MetaPrettyPrinter.printer" title="Permalink to this definition">¶</a></dt>
-<dd><p>Get or set the prefered display printer.  This is a string with one of
-the following values:</p>
-<p>“any”, “latex”, “html”, “unicode”, “ascii”, or “any_but_latex”</p>
-<p>“any” will usually pick html or latex output when running in an IPython
-console or Jupyter notebook and unicode otherwise.</p>
-<p>“any_but_latex” will usually pick html when running in an IPython
-console or Jupyter notebook and unicode otherwise.</p>
-<p>“latex” and “html” are only available when running under IPython.  If
-these printers are not available the display will default to “unicode”.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.printing.PrettyPrinter">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.printing.</code><code class="sig-name descname">PrettyPrinter</code><a class="headerlink" href="#metrolopy.printing.PrettyPrinter" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
-<dl class="method">
-<dt id="metrolopy.printing.PrettyPrinter.ascii">
-<code class="sig-name descname">ascii</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.ascii" title="Permalink to this definition">¶</a></dt>
-<dd><p>Prints a representation of the object using only ASCII characters.
-Equivalent to print(cls.tostring(fmt=’ascii’)).  See the tostring
-method.</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.printing.PrettyPrinter.break_on_printing_error">
-<code class="sig-name descname">break_on_printing_error</code><em class="property"> = False</em><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.break_on_printing_error" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.printing.PrettyPrinter.html">
-<code class="sig-name descname">html</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.html" title="Permalink to this definition">¶</a></dt>
-<dd><p>Prints a representation of the object using HTML formatting if this method
-is called from an IPython console or Juptyer notebook. See the tostring
-method.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.printing.PrettyPrinter.latex">
-<code class="sig-name descname">latex</code><span class="sig-paren">(</span><em class="sig-param">math=None</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.latex" title="Permalink to this definition">¶</a></dt>
-<dd><p>Prints a representation of the object using LaTeX formatting if this method
-is called from an IPython console or Juptyer notebook. See the tostring
-method.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.printing.PrettyPrinter.latex_math">
-<code class="sig-name descname">latex_math</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.latex_math" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.printing.PrettyPrinter.latex_math_plot">
-<code class="sig-name descname">latex_math_plot</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.latex_math_plot" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.printing.PrettyPrinter.latex_norm">
-<code class="sig-name descname">latex_norm</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.latex_norm" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.printing.PrettyPrinter.latex_norm_plot">
-<code class="sig-name descname">latex_norm_plot</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.latex_norm_plot" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.printing.PrettyPrinter.printer">
-<code class="sig-name descname">printer</code><em class="property"> = 'any_but_latex'</em><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.printer" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.printing.PrettyPrinter.toascii">
-<code class="sig-name descname">toascii</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.toascii" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string representing this object formatted using only ASCII
-characters; equivalent to PrettyPrinter.tostring(fmt=’ascii’,**kwds).
-See the tostring method.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.printing.PrettyPrinter.tohtml">
-<code class="sig-name descname">tohtml</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.tohtml" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string representing this object formatted for html; equivalent
-to PrettyPrinter.tostring(fmt=’html’,**kwds).  See the tostring method.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.printing.PrettyPrinter.tolatex">
-<code class="sig-name descname">tolatex</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.tolatex" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string representing this object formatted for LaTeX; equivalent
-to PrettyPrinter.tostring(fmt=’latex’,**kwds).  See the tostring method.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.printing.PrettyPrinter.tounicode">
-<code class="sig-name descname">tounicode</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.tounicode" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string representing this object; equivalent to
-PrettyPrinter.tostring(fmt=’unicode’,**kwds) and PrettyPrinter.__str__().
-See the tostring method.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.printing.PrettyPrinter.unicode">
-<code class="sig-name descname">unicode</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.PrettyPrinter.unicode" title="Permalink to this definition">¶</a></dt>
-<dd><p>Prints a representation of the object. Equivalent to
-print(cls.tostring(fmt=’unicode’)).  See the tostring method.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.printing.print_html">
-<code class="sig-prename descclassname">metrolopy.printing.</code><code class="sig-name descname">print_html</code><span class="sig-paren">(</span><em class="sig-param">text</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.print_html" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.printing.print_latex">
-<code class="sig-prename descclassname">metrolopy.printing.</code><code class="sig-name descname">print_latex</code><span class="sig-paren">(</span><em class="sig-param">text</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.print_latex" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.printing.print_markdown">
-<code class="sig-prename descclassname">metrolopy.printing.</code><code class="sig-name descname">print_markdown</code><span class="sig-paren">(</span><em class="sig-param">text</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.print_markdown" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.printing.set_printer">
-<code class="sig-prename descclassname">metrolopy.printing.</code><code class="sig-name descname">set_printer</code><span class="sig-paren">(</span><em class="sig-param">value</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.printing.set_printer" title="Permalink to this definition">¶</a></dt>
-<dd><p>Sets the preferred default display printer.  This is a string with one of
-the following values:</p>
-<p>“any”, “latex”, “html”, “unicode”, or “ascii”</p>
-<p>“any” will usually pick html or latex output when running in an IPython
-console or Jupyter notebook and unicode otherwise.</p>
-<p>“latex” and “html” are only available when running under IPython.  If
-these printers are not available the display will default to “unicode”.</p>
-</dd></dl>
-
+<div class="section" id="metrolopy-nummy-module">
+<h2>metrolopy.nummy module<a class="headerlink" href="#metrolopy-nummy-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.relunits">
-<span id="metrolopy-relunits-module"></span><h2>metrolopy.relunits module<a class="headerlink" href="#module-metrolopy.relunits" title="Permalink to this headline">¶</a></h2>
-<p>This module is loaded by the gummy.units module and is not intended be be
-imported directly.  Dimensionless units are defined here.</p>
-<dl class="class">
-<dt id="metrolopy.relunits.RatioUnit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.relunits.</code><code class="sig-name descname">RatioUnit</code><span class="sig-paren">(</span><em class="sig-param">name</em>, <em class="sig-param">symbol</em>, <em class="sig-param">conversion=None</em>, <em class="sig-param">short_name=None</em>, <em class="sig-param">add_symbol=False</em>, <em class="sig-param">html_symbol=None</em>, <em class="sig-param">latex_symbol=None</em>, <em class="sig-param">ascii_symbol=None</em>, <em class="sig-param">description=None</em>, <em class="sig-param">order=-1</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.relunits.RatioUnit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.unit.Unit" title="metrolopy.unit.Unit"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.unit.Unit</span></code></a></p>
-<p>RatioUnit is used for dimensionless units like % where powers, e.g. %**2,
-are not desired.</p>
-</dd></dl>
-
+<div class="section" id="metrolopy-offsetunit-module">
+<h2>metrolopy.offsetunit module<a class="headerlink" href="#metrolopy-offsetunit-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.siunits">
-<span id="metrolopy-siunits-module"></span><h2>metrolopy.siunits module<a class="headerlink" href="#module-metrolopy.siunits" title="Permalink to this headline">¶</a></h2>
-<p>This module is loaded by the gummy.units module and is not intended be be
-imported directly.</p>
-<p>The most of the units here are from the SI Brochure, draft 9th edition published
-by the BIPM.</p>
+<div class="section" id="metrolopy-pmethod-module">
+<h2>metrolopy.pmethod module<a class="headerlink" href="#metrolopy-pmethod-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.ummy">
-<span id="metrolopy-ummy-module"></span><h2>metrolopy.ummy module<a class="headerlink" href="#module-metrolopy.ummy" title="Permalink to this headline">¶</a></h2>
-<p>The ummy object defined here was created primarily to separate the code for
-first-order uncertainty propagation from the other methods in the gummy object.
-But the ummy object can be used as a stripped down verison of gummy without the
-Monte-Carlo uncertainty propagation, unit, and pretty printing functionality
-of gummy.</p>
-<dl class="class">
-<dt id="metrolopy.ummy.GummyTag">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.ummy.</code><code class="sig-name descname">GummyTag</code><span class="sig-paren">(</span><em class="sig-param">tag_name</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.GummyTag" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
-<dl class="method">
-<dt id="metrolopy.ummy.GummyTag.get_values">
-<code class="sig-name descname">get_values</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.GummyTag.get_values" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.GummyTag.set_tag">
-<em class="property">static </em><code class="sig-name descname">set_tag</code><span class="sig-paren">(</span><em class="sig-param">g</em>, <em class="sig-param">tag</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.GummyTag.set_tag" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.ummy.GummyTag.tags">
-<code class="sig-name descname">tags</code><em class="property"> = &lt;WeakValueDictionary&gt;</em><a class="headerlink" href="#metrolopy.ummy.GummyTag.tags" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.ummy.MFraction">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.ummy.</code><code class="sig-name descname">MFraction</code><a class="headerlink" href="#metrolopy.ummy.MFraction" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">fractions.Fraction</span></code></p>
-<p>A fraction.Fraction sub-class that works with mpmath.mpf objects</p>
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.ummy.ummy">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.ummy.</code><code class="sig-name descname">ummy</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">u=0</em>, <em class="sig-param">dof=inf</em>, <em class="sig-param">utype=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.ummy" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.dfunc.Dfunc" title="metrolopy.dfunc.Dfunc"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.dfunc.Dfunc</span></code></a></p>
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.angle">
-<code class="sig-name descname">angle</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.ummy.angle" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.conjugate">
-<code class="sig-name descname">conjugate</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.ummy.conjugate" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.const">
-<em class="property">property </em><code class="sig-name descname">const</code><a class="headerlink" href="#metrolopy.ummy.ummy.const" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>bool</cite>, read-only</p>
-<p>Returns <cite>True</cite> if the gummy represents an exact value with no uncertainty.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.copy">
-<code class="sig-name descname">copy</code><span class="sig-paren">(</span><em class="sig-param">formatting=True</em>, <em class="sig-param">tofloat=False</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.ummy.copy" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a copy of the gummy.  If the <cite>formatting</cite> parameter is
-<cite>True</cite> the display formatting information will be copied and if
-<cite>False</cite> the display formatting will be set to the default for a
-new gummy.  The default for <cite>formatting</cite> is <cite>True</cite>.  If tofloat
-is true the x and u properties will be converted to float values
-before copying.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.correlation">
-<code class="sig-name descname">correlation</code><span class="sig-paren">(</span><em class="sig-param">g</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.ummy.correlation" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the correlation coefficient between <cite>self</cite> and <cite>g</cite>.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.correlation_matrix">
-<em class="property">static </em><code class="sig-name descname">correlation_matrix</code><span class="sig-paren">(</span><em class="sig-param">gummys</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.ummy.correlation_matrix" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the correlation matrix of a list or array of gummys.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.covariance">
-<code class="sig-name descname">covariance</code><span class="sig-paren">(</span><em class="sig-param">g</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.ummy.covariance" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the covariance between <cite>self</cite> and <cite>g</cite>.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.covariance_matrix">
-<em class="property">static </em><code class="sig-name descname">covariance_matrix</code><span class="sig-paren">(</span><em class="sig-param">gummys</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.ummy.covariance_matrix" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns the variance-covariance matrix of a list or array of gummys.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.create">
-<em class="property">classmethod </em><code class="sig-name descname">create</code><span class="sig-paren">(</span><em class="sig-param">x</em>, <em class="sig-param">u=None</em>, <em class="sig-param">dof=None</em>, <em class="sig-param">correlation_matrix=None</em>, <em class="sig-param">covariance_matrix=None</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.ummy.create" title="Permalink to this definition">¶</a></dt>
-<dd><p>A class method that creates a list of (possibly) correlated ummys.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> – A list of floats corresponding to the x-value of each ummy.</p></li>
-<li><p><strong>u, dof, k, loc, utype</strong> (<em>optional</em>) – Lists that correspond to the
-parameters in the ummy initializer (with the i-th value in each
-list passed to the initializer for the i-th ummy).  These may also be a single
-value with this same value is to passed to each initializer.</p></li>
-<li><p><strong>correlation_matrix</strong> (<em>optional</em>) – A list or array to be used as the correlation
-matrix of the ummys. This is optional and must be set to the
-default value of None if the covariance_matrix is specified.
-If both the correlation_matrix and the covariance_matrix are
-None (or omitted) then the ummys will be uncorrelated.</p></li>
-<li><p><strong>covariance_matrix</strong> (<em>optional</em>) – A list or array to be used as the variance-
-covariance matrix of the ummys.  If the covariance matrix is
-specified the u parameter will be ignored  This parameter is
-optional and must be set to the default value of None if the
-correlation_matrix is specified.  If both the correlation_matrix
-and the covariance_matrix are None (or omitted) then the ummys
-will be uncorrelated.</p></li>
-</ul>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p></p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p>a list of ummys</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.dof">
-<em class="property">property </em><code class="sig-name descname">dof</code><a class="headerlink" href="#metrolopy.ummy.ummy.dof" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>float</cite>, read-only</p>
-<p>Returns the number or degrees of freedom that the uncertainty of the
-gummy is based on.  If the gummy was created as the result of an
-operation between two or more other gummys, then the dof is the effective
-number of degrees of freedom calculated using a version of the Welch-
-Satterthwaite approximation that takes into account correlations, see
-[R. Willink, Metrologia, 44, 340 (2007)].</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.doffrom">
-<code class="sig-name descname">doffrom</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.ummy.doffrom" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets the degrees of freedom contributed from particular gummys or
-utypes if all other free variables are held fixed.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>x</strong> (<cite>gummy</cite>, <cite>str</cite>, or array_like) – A gummy, a string referencing a utype or a list containing
-gummys and strings.</p>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p></p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p><cite>float</cite></p>
-</dd>
-</dl>
-<p class="rubric">Example</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span> <span class="n">a</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">1.2</span><span class="p">,</span><span class="mf">0.2</span><span class="p">,</span><span class="n">dof</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span><span class="n">utype</span><span class="o">=</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">b</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">3.2</span><span class="p">,</span><span class="mf">0.5</span><span class="p">,</span><span class="n">dof</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span><span class="n">utype</span><span class="o">=</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">c</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">0.9</span><span class="p">,</span><span class="mf">0.2</span><span class="p">,</span><span class="n">utype</span><span class="o">=</span><span class="s1">&#39;B&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">d</span> <span class="o">=</span> <span class="n">a</span> <span class="o">+</span> <span class="n">b</span> <span class="o">+</span> <span class="n">c</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">d</span><span class="o">.</span><span class="n">doffrom</span><span class="p">(</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
-<span class="go">9.0932962619709627</span>
-</pre></div>
+<div class="section" id="metrolopy-prefixedunit-module">
+<h2>metrolopy.prefixedunit module<a class="headerlink" href="#metrolopy-prefixedunit-module" title="Permalink to this headline">¶</a></h2>
 </div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.finfo">
-<em class="property">property </em><code class="sig-name descname">finfo</code><a class="headerlink" href="#metrolopy.ummy.ummy.finfo" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.imag">
-<em class="property">property </em><code class="sig-name descname">imag</code><a class="headerlink" href="#metrolopy.ummy.ummy.imag" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.ummy.ummy.max_digits">
-<code class="sig-name descname">max_digits</code><em class="property"> = 15</em><a class="headerlink" href="#metrolopy.ummy.ummy.max_digits" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.ummy.ummy.max_dof">
-<code class="sig-name descname">max_dof</code><em class="property"> = 10000</em><a class="headerlink" href="#metrolopy.ummy.ummy.max_dof" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.ummy.ummy.nsig">
-<code class="sig-name descname">nsig</code><em class="property"> = 2</em><a class="headerlink" href="#metrolopy.ummy.ummy.nsig" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.real">
-<em class="property">property </em><code class="sig-name descname">real</code><a class="headerlink" href="#metrolopy.ummy.ummy.real" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.ummy.ummy.rounding_u">
-<code class="sig-name descname">rounding_u</code><em class="property"> = False</em><a class="headerlink" href="#metrolopy.ummy.ummy.rounding_u" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.ummy.ummy.sci_notation">
-<code class="sig-name descname">sci_notation</code><em class="property"> = None</em><a class="headerlink" href="#metrolopy.ummy.ummy.sci_notation" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.ummy.ummy.sci_notation_high">
-<code class="sig-name descname">sci_notation_high</code><em class="property"> = 7</em><a class="headerlink" href="#metrolopy.ummy.ummy.sci_notation_high" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.ummy.ummy.sci_notation_low">
-<code class="sig-name descname">sci_notation_low</code><em class="property"> = -3</em><a class="headerlink" href="#metrolopy.ummy.ummy.sci_notation_low" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.ummy.ummy.thousand_spaces">
-<code class="sig-name descname">thousand_spaces</code><em class="property"> = True</em><a class="headerlink" href="#metrolopy.ummy.ummy.thousand_spaces" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.tofloat">
-<code class="sig-name descname">tofloat</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.ummy.tofloat" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a copy of the gummy with x an u converted to floats.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.u">
-<em class="property">property </em><code class="sig-name descname">u</code><a class="headerlink" href="#metrolopy.ummy.ummy.u" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.ufrom">
-<code class="sig-name descname">ufrom</code><span class="sig-paren">(</span><em class="sig-param">x</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.ummy.ummy.ufrom" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets the standard uncertainty contributed from particular gummys
-or utypes if all other free variables are held fixed.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>x</strong> (<cite>gummy</cite>, <cite>str</cite>, or array_like) – A gummy, a string referencing a utype or a list containing
-gummys and strings.</p>
-</dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p></p>
-</dd>
-<dt class="field-odd">Return type</dt>
-<dd class="field-odd"><p><cite>float</cite></p>
-</dd>
-</dl>
-<p class="rubric">Example</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span> <span class="n">a</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">1.2</span><span class="p">,</span><span class="mf">0.2</span><span class="p">,</span><span class="n">utype</span><span class="o">=</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">b</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">3.2</span><span class="p">,</span><span class="mf">0.5</span><span class="p">,</span><span class="n">utype</span><span class="o">=</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">c</span> <span class="o">=</span> <span class="n">gummy</span><span class="p">(</span><span class="mf">0.9</span><span class="p">,</span><span class="mf">0.2</span><span class="p">,</span><span class="n">utype</span><span class="o">=</span><span class="s1">&#39;B&#39;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">d</span> <span class="o">=</span> <span class="n">a</span> <span class="o">+</span> <span class="n">b</span> <span class="o">+</span> <span class="n">c</span>
-<span class="gp">&gt;&gt;&gt; </span> <span class="n">d</span><span class="o">.</span><span class="n">ufrom</span><span class="p">(</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
-<span class="go">0.53851648071345048</span>
-</pre></div>
+<div class="section" id="metrolopy-printing-module">
+<h2>metrolopy.printing module<a class="headerlink" href="#metrolopy-printing-module" title="Permalink to this headline">¶</a></h2>
 </div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.utype">
-<em class="property">property </em><code class="sig-name descname">utype</code><a class="headerlink" href="#metrolopy.ummy.ummy.utype" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>str</cite> or <cite>None</cite></p>
-<p>An arbitrary string value labeling the uncertainty type.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.ummy.ummy.x">
-<em class="property">property </em><code class="sig-name descname">x</code><a class="headerlink" href="#metrolopy.ummy.ummy.x" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
+<div class="section" id="metrolopy-relunits-module">
+<h2>metrolopy.relunits module<a class="headerlink" href="#metrolopy-relunits-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.unit">
-<span id="metrolopy-unit-module"></span><h2>metrolopy.unit module<a class="headerlink" href="#module-metrolopy.unit" title="Permalink to this headline">¶</a></h2>
-<p>This module contains the procedures for defining units and unit algebera used
-by the gummy class.</p>
-<dl class="class">
-<dt id="metrolopy.unit.Conversion">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.unit.</code><code class="sig-name descname">Conversion</code><span class="sig-paren">(</span><em class="sig-param">unit</em>, <em class="sig-param">factor=1</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Conversion" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
-<p>Represents a unit conversion.  This class should only be used as arguments
-to <cite>Unit</cite> object initializers.  Each conversion should be associated with one
-and only one parent Unit.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>unit</strong> (<cite>str</cite> or <cite>Unit</cite>) – the Unit that the parent Unit will be converted to.</p></li>
-<li><p><strong>factor</strong> (<cite>float</cite>, optional) – The conversion factor between the parent Unit and the new Unit:
-[value with new Unit] = factor * [value with parent Unit]
-The default value is 1</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="method">
-<dt id="metrolopy.unit.Conversion.chain">
-<code class="sig-name descname">chain</code><span class="sig-paren">(</span><em class="sig-param">c</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Conversion.chain" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Conversion.copy">
-<code class="sig-name descname">copy</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Conversion.copy" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Conversion.frm">
-<code class="sig-name descname">frm</code><span class="sig-paren">(</span><em class="sig-param">g</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Conversion.frm" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.unit.Conversion.linear">
-<code class="sig-name descname">linear</code><em class="property"> = True</em><a class="headerlink" href="#metrolopy.unit.Conversion.linear" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Conversion.pow">
-<code class="sig-name descname">pow</code><span class="sig-paren">(</span><em class="sig-param">e</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Conversion.pow" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Conversion.to">
-<code class="sig-name descname">to</code><span class="sig-paren">(</span><em class="sig-param">g</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Conversion.to" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Conversion.unit">
-<em class="property">property </em><code class="sig-name descname">unit</code><a class="headerlink" href="#metrolopy.unit.Conversion.unit" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="metrolopy.unit.Unit">
-<em class="property">class </em><code class="sig-prename descclassname">metrolopy.unit.</code><code class="sig-name descname">Unit</code><span class="sig-paren">(</span><em class="sig-param">name</em>, <em class="sig-param">symbol</em>, <em class="sig-param">conversion=None</em>, <em class="sig-param">short_name=None</em>, <em class="sig-param">add_symbol=False</em>, <em class="sig-param">html_symbol=None</em>, <em class="sig-param">latex_symbol=None</em>, <em class="sig-param">ascii_symbol=None</em>, <em class="sig-param">description=None</em>, <em class="sig-param">order=-1</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Unit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#metrolopy.printing.PrettyPrinter" title="metrolopy.printing.PrettyPrinter"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrolopy.printing.PrettyPrinter</span></code></a></p>
-<p>Creating an instance of this class creates a representation of a physical
-unit and adds it to the unit library.  Units already in the unit library or
-derived units made up of other units in the unit library can be accessed
-by passing a text string with the unit name or symbol to the static method
-<cite>Unit.unit</cite>.</p>
-<dl class="field-list">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul>
-<li><p><strong>name</strong> (<cite>str</cite>) – The name of the unit.  The name can be used access the unit with the
-<cite>Unit.unit</cite> method, but note that if you define a Unit with an
-identical name to a previously defined unit then the older name will
-be shadowed.</p></li>
-<li><p><strong>symbol</strong> (<cite>str</cite>) – A unicode symbol used when displaying the unit.  If the <cite>add_symbol</cite>
-parameter is set to <cite>True</cite>, then this symbol can also be used
-to access the unit with the <cite>Unit.unit</cite> method.</p></li>
-<li><p><strong>conversion</strong> (<cite>Conversion</cite> or <cite>None</cite>, optional) – A conversion to another unit.  When creating units be careful to avoid
-circular conversions, i.e. you can define:</p>
-<p>Unit(‘inch’,’in’,conversion=None)
-Unit(‘foot’,’ft’,conversion=Conversion(‘in’,12))
-Unit(‘yard’,’yd’,conversion=Conversion(‘ft’,3))</p>
-<p>but not:</p>
-<p>Unit(‘inch’,’in’,conversion=Conversion(‘yd’,1/36))
-Unit(‘foot’,’ft’,conversion=Conversion(‘in’,12))
-Unit(‘yard’,’yd’,conversion=Conversion(‘ft’,3))</p>
-<p>Note that an equivent and allowable way of defining the first set of
-units above is:</p>
-<p>Unit(‘inch’,’in’,conversion=None)
-Unit(‘foot’,’ft’,conversion=Conversion(‘in’,12))
-Unit(‘yard’,’yd’,conversion=Conversion(‘in’,36))</p>
-<p>Either way will allow the free conversion between inches, feet, and
-yards.  You can also define the inch as:</p>
-<p>Unit(‘inch’,’in’,conversion=(‘cm’,2.54)</p>
-<p>(The inch is actually defined this way in the builtin unit library.)</p>
-</li>
-<li><p><strong>short_name</strong> (<cite>str</cite> or <cite>None</cite>) – a short name</p></li>
-<li><p><strong>add_symbol</strong> (<cite>bool</cite>, optional) – If this is <cite>True</cite>, then the symbol can be used to look up the unit
-in the unit library.  The default is <cite>False</cite></p></li>
-<li><p><strong>html_symbol, latex_symbol, ascii_symbol</strong> (<cite>str</cite> or <cite>Mone</cite>, optional) – html, latex, and ascii versions of the symbol if they are different
-from the unicode representation of the symbol.</p></li>
-<li><p><strong>description</strong> (<cite>str</cite> or <cite>None</cite>, optional) – a description of the unit</p></li>
-<li><p><strong>order</strong> (<cite>int</cite> , optional) – When displaying composite derived units, the symbols with a lower
-<cite>order</cite> value will be displayed.  The default if -1.</p></li>
-</ul>
-</dd>
-</dl>
-<div class="admonition seealso">
-<p class="admonition-title">See also</p>
-<p><code class="xref py py-class docutils literal notranslate"><span class="pre">The</span></code></p>
-<dl class="simple">
-<dt><code class="xref py py-class docutils literal notranslate"><span class="pre">PrefixedUnit</span></code></dt><dd><p>Creates a set of units with SI prefixes (…, kilo, mega, giga, …)</p>
-</dd>
-<dt><code class="xref py py-class docutils literal notranslate"><span class="pre">BinaryPrefixedUnit</span></code></dt><dd><p>Creates a set of unit with binary prefixes (…, kibi, mebi, gibi, …)</p>
-</dd>
-<dt><code class="xref py py-class docutils literal notranslate"><span class="pre">LogUnit</span></code></dt><dd><p>Logrithmic units (e.g. decibel or neper)</p>
-</dd>
-<dt><code class="xref py py-class docutils literal notranslate"><span class="pre">OffsetUnit</span></code></dt><dd><p>Units with an offset origin (degree Celsius or degree Fahrenheit)</p>
-</dd>
-</dl>
+<div class="section" id="metrolopy-siunits-module">
+<h2>metrolopy.siunits module<a class="headerlink" href="#metrolopy-siunits-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<dl class="method">
-<dt id="metrolopy.unit.Unit.alias">
-<em class="property">static </em><code class="sig-name descname">alias</code><span class="sig-paren">(</span><em class="sig-param">alias</em>, <em class="sig-param">unit</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Unit.alias" title="Permalink to this definition">¶</a></dt>
-<dd><p>Creates an alias that can be used to reference a Unit.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>alias</strong> (<cite>str</cite>) – a string containing the new alias</p></li>
-<li><p><strong>unit</strong> (<cite>str</cite> or <cite>Unit</cite>) – A string referencing the <cite>Unit</cite> that will be assigned
-the alias or the <cite>Unit</cite> instance its self.</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Unit.aliases">
-<em class="property">property </em><code class="sig-name descname">aliases</code><a class="headerlink" href="#metrolopy.unit.Unit.aliases" title="Permalink to this definition">¶</a></dt>
-<dd><p>read-only</p>
-<p>Returns a set of the unshadowed aliases of this unit.  To add aliases
-to the unit use the <cite>Unit.alias</cite> static method.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Unit.conversion">
-<em class="property">property </em><code class="sig-name descname">conversion</code><a class="headerlink" href="#metrolopy.unit.Unit.conversion" title="Permalink to this definition">¶</a></dt>
-<dd><p>Gets or sets the <cite>Conversion</cite> instance for the unit.</p>
-<p><strong>*This property is not intended to be used directly and setting this
-property may cause problems*</strong></p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Unit.convert">
-<code class="sig-name descname">convert</code><span class="sig-paren">(</span><em class="sig-param">g</em>, <em class="sig-param">unit</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Unit.convert" title="Permalink to this definition">¶</a></dt>
-<dd><p>Converts a number or gummy from a quanitity with the units self to unit.</p>
-<p>This is not intended be used directly, instead use the <cite>gummy.convert</cite>
-method.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Unit.format_latex">
-<em class="property">static </em><code class="sig-name descname">format_latex</code><span class="sig-paren">(</span><em class="sig-param">text</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Unit.format_latex" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Unit.is_dimensionless">
-<em class="property">property </em><code class="sig-name descname">is_dimensionless</code><a class="headerlink" href="#metrolopy.unit.Unit.is_dimensionless" title="Permalink to this definition">¶</a></dt>
-<dd><p><cite>bool</cite>, read-only</p>
-<p>Returns <cite>True</cite> if a conversion exists between <cite>self</cite> and <cite>one</cite>, and <cite>False</cite>
-if not.</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="metrolopy.unit.Unit.linear">
-<code class="sig-name descname">linear</code><em class="property"> = True</em><a class="headerlink" href="#metrolopy.unit.Unit.linear" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Unit.load">
-<em class="property">static </em><code class="sig-name descname">load</code><span class="sig-paren">(</span><em class="sig-param">library_name</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Unit.load" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Unit.reorder">
-<em class="property">static </em><code class="sig-name descname">reorder</code><span class="sig-paren">(</span><em class="sig-param">txt</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Unit.reorder" title="Permalink to this definition">¶</a></dt>
-<dd><p>This changes the order in which the symbols of composite derived units
-are displayed.</p>
-<p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">Unit</span><span class="o">.</span><span class="n">unit</span><span class="p">(</span><span class="s1">&#39;ft lb&#39;</span><span class="p">))</span>
-<span class="go">ft lb</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">Unit</span><span class="o">.</span><span class="n">unit</span><span class="p">(</span><span class="s1">&#39;lb ft&#39;</span><span class="p">))</span>  <span class="c1">#This is the same unit as above and displays identically</span>
-<span class="go">ft lb</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">Unit</span><span class="o">.</span><span class="n">reorder</span><span class="p">(</span><span class="s1">&#39;lb ft&#39;</span><span class="p">)</span>  <span class="c1">#Now the order will be changed when the unit is displayed</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">Unit</span><span class="o">.</span><span class="n">unit</span><span class="p">(</span><span class="s1">&#39;ft lb&#39;</span><span class="p">))</span>
-<span class="go">lb ft</span>
-</pre></div>
+<div class="section" id="metrolopy-ummy-module">
+<h2>metrolopy.ummy module<a class="headerlink" href="#metrolopy-ummy-module" title="Permalink to this headline">¶</a></h2>
 </div>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Unit.shadowed_aliases">
-<em class="property">property </em><code class="sig-name descname">shadowed_aliases</code><a class="headerlink" href="#metrolopy.unit.Unit.shadowed_aliases" title="Permalink to this definition">¶</a></dt>
-<dd><p>read-only</p>
-<p>Returns a set of the shadowed aliases of this unit.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Unit.tostring">
-<code class="sig-name descname">tostring</code><span class="sig-paren">(</span><em class="sig-param">fmt=None</em>, <em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Unit.tostring" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a string containing the symbol for the unit the format given by
-the keyword <cite>fmt</cite> which may be set to a string the values ‘html’, ‘latex’,
-‘ascii’, or ‘unicode’.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Unit.unit">
-<em class="property">static </em><code class="sig-name descname">unit</code><span class="sig-paren">(</span><em class="sig-param">txt</em>, <em class="sig-param">exception=True</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unit.Unit.unit" title="Permalink to this definition">¶</a></dt>
-<dd><p>Finds an returns a Unit object from the Unit library.</p>
-<dl class="field-list">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul>
-<li><p><strong>txt</strong> – <cite>str</cite>, <cite>Unit</cite> or 1
-This may be a string representing the unit.  The string can
-contain the name, short name or (if the unit was created
-with <cite>add_symbol</cite> set to <cite>True</cite>) the symbol of the unit or a
-combination of names and/or symbols of several different
-units.  Spaces or the character ‘*’ represent multiplication,
-the character ‘/’ represents division and the string ‘**’
-represents the power operator. For example txt can be:</p>
-<p>‘kg m**2/s’</p>
-<p>or equivalently:</p>
-<p>‘kilogram*metre*metre*second**-1’ or ‘(kg/s)*m**2’.</p>
-<p>If a unit name contains a space, ‘*’ or ‘/’ character then the
-name must be enclosed in square brackets, e.g:</p>
-<p>[light year]</p>
-<p>If txt is a Unit instance that instance is returned.</p>
-</li>
-<li><p><strong>exception</strong> – <cite>bool</cite>, optional
-If this is <cite>True</cite> then a <cite>UnitNotFoundError</cite> or UnitLibError
-is raised if a unit is not found that matches <cite>txt</cite>.  If it is
-<cite>False</cite> and a unit is not found, then <cite>Unit.unit</cite> returns
-<cite>None</cite> without raising an exception.  The default is <cite>True</cite>.</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="method">
-<dt id="metrolopy.unit.Unit.units">
-<em class="property">property </em><code class="sig-name descname">units</code><a class="headerlink" href="#metrolopy.unit.Unit.units" title="Permalink to this definition">¶</a></dt>
-<dd><p>read-only</p>
-<p>Returns a list of the constituent units and their exponents, e.g. for
-kg m**2/s units would be [(kg, 1), (m, 2), (s, -1)].</p>
-</dd></dl>
-
-</dd></dl>
-
+<div class="section" id="metrolopy-unit-module">
+<h2>metrolopy.unit module<a class="headerlink" href="#metrolopy-unit-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.unitutils">
-<span id="metrolopy-unitutils-module"></span><h2>metrolopy.unitutils module<a class="headerlink" href="#module-metrolopy.unitutils" title="Permalink to this headline">¶</a></h2>
-<p>the search_units, shadow_units, and convert functions are defined here</p>
-<dl class="function">
-<dt id="metrolopy.unitutils.convert">
-<code class="sig-prename descclassname">metrolopy.unitutils.</code><code class="sig-name descname">convert</code><span class="sig-paren">(</span><em class="sig-param">amount</em>, <em class="sig-param">from_unit</em>, <em class="sig-param">to_unit</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unitutils.convert" title="Permalink to this definition">¶</a></dt>
-<dd><p>Performs a unit conversion of <cite>amount</cite> in units of <cite>from_unit</cite> to units
-of <cite>to_unit</cite>.</p>
-<p>equivalent to <code class="docutils literal notranslate"><span class="pre">gummy(amount,from_unit).convert(to_unit)</span></code></p>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.unitutils.search_units">
-<code class="sig-prename descclassname">metrolopy.unitutils.</code><code class="sig-name descname">search_units</code><span class="sig-paren">(</span><em class="sig-param">search=None</em>, <em class="sig-param">fmt=None</em>, <em class="sig-param">show_all=False</em>, <em class="sig-param">units=None</em>, <em class="sig-param">prnt=True</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unitutils.search_units" title="Permalink to this definition">¶</a></dt>
-<dd><p>Prints a list of all loaded units or all units that match the search terms.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>search</strong> (<cite>str</cite> or <cite>None</cite>, optional) – A space separated list of search terms to case insentively match.
-If this is omitted or set equal to <cite>None</cite> then a list of all loaded
-units will be printed.  The default is <cite>None</cite>.</p></li>
-<li><p><strong>fmt</strong> ({‘html’,’latex’,’unicode’,’ascii’,`None`},optional) – The output format.  If <cite>None</cite>, then the <cite>gummy.printer</cite> value is used.
-If latex output is selected, Markdown is actually used with the unit
-symbols and conversion displayed using inline LaTeX.</p></li>
-<li><p><strong>show_all</strong> (<cite>bool</cite>, optional) – If <cite>True</cite> units are shown with each prefix listed on a separate line
-(e.g. the millisecond and the microsecond are listed in addition to
-the second) and interval units are shown. If <cite>False</cite> only the base
-unit is shown.  The default is <cite>False</cite>.</p></li>
-<li><p><strong>units</strong> (<cite>list</cite> of <cite>str</cite> or <cite>Unit</cite>,optional) – A list of units to print.  If this parameter is specified the values
-of the search and <cite>show_all</cite> parameters are ignored.</p></li>
-<li><p><strong>prnt</strong> (<cite>bool</cite>, optional) – If this is <cite>True</cite>, the results are printed.  If it is <cite>False</cite> the results
-are returned as a string.  The default is <cite>True</cite>.</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="function">
-<dt id="metrolopy.unitutils.shadowed_units">
-<code class="sig-prename descclassname">metrolopy.unitutils.</code><code class="sig-name descname">shadowed_units</code><span class="sig-paren">(</span><em class="sig-param">fmt=None</em>, <em class="sig-param">prnt=True</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.unitutils.shadowed_units" title="Permalink to this definition">¶</a></dt>
-<dd><p>Lists any units which have a shadowed name or alias.  Units may be shadowed
-if the user has defined a new unit with the same name or alias as an
-existing unit.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>fmt</strong> ({‘html’,’latex’,’unicode’,’ascii’,`None`},optional) – The output format.  If <cite>None</cite>, then the <cite>gummy.printer</cite> value is used.
-If latex output is selected, Markdown is actually used with the unit
-symbols and conversion displayed using inline LaTeX.</p></li>
-<li><p><strong>prnt</strong> (<cite>bool</cite>, optional) – If this is <cite>True</cite>, the results are printed.  If it is <cite>False</cite> the results
-are returned as a string.  The default is <cite>True</cite>.</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="section" id="metrolopy-unitutils-module">
+<h2>metrolopy.unitutils module<a class="headerlink" href="#metrolopy-unitutils-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.usunits">
-<span id="metrolopy-usunits-module"></span><h2>metrolopy.usunits module<a class="headerlink" href="#module-metrolopy.usunits" title="Permalink to this headline">¶</a></h2>
-<p>This module is loaded by the gummy.units module and is not intended be be
-imported directly.  The gummy.siunits module must be loaded before loading
-this module.</p>
-<p>Most units here are from:</p>
-<p>NIST Special Publication 1038, “The International System of Units (SI) –
-Conversion Factors for General Use”, May 2006.</p>
+<div class="section" id="metrolopy-usunits-module">
+<h2>metrolopy.usunits module<a class="headerlink" href="#metrolopy-usunits-module" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.version">
-<span id="metrolopy-version-module"></span><h2>metrolopy.version module<a class="headerlink" href="#module-metrolopy.version" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="metrolopy-version-module">
+<h2>metrolopy.version module<a class="headerlink" href="#metrolopy-version-module" title="Permalink to this headline">¶</a></h2>
 </div>
 <div class="section" id="module-metrolopy">
 <span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-metrolopy" title="Permalink to this headline">¶</a></h2>
@@ -6064,28 +133,28 @@ <h3><a href="index.html">Table of Contents</a></h3>
 <li><a class="reference internal" href="#">metrolopy package</a><ul>
 <li><a class="reference internal" href="#subpackages">Subpackages</a></li>
 <li><a class="reference internal" href="#submodules">Submodules</a></li>
-<li><a class="reference internal" href="#module-metrolopy.budget">metrolopy.budget module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.dfunc">metrolopy.dfunc module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.distributions">metrolopy.distributions module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.exceptions">metrolopy.exceptions module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.fit">metrolopy.fit module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.functions">metrolopy.functions module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.gummy">metrolopy.gummy module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.logunit">metrolopy.logunit module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.mean">metrolopy.mean module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.nonlinearunit">metrolopy.nonlinearunit module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.nummy">metrolopy.nummy module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.offsetunit">metrolopy.offsetunit module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.pmethod">metrolopy.pmethod module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.prefixedunit">metrolopy.prefixedunit module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.printing">metrolopy.printing module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.relunits">metrolopy.relunits module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.siunits">metrolopy.siunits module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.ummy">metrolopy.ummy module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.unit">metrolopy.unit module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.unitutils">metrolopy.unitutils module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.usunits">metrolopy.usunits module</a></li>
-<li><a class="reference internal" href="#module-metrolopy.version">metrolopy.version module</a></li>
+<li><a class="reference internal" href="#metrolopy-budget-module">metrolopy.budget module</a></li>
+<li><a class="reference internal" href="#metrolopy-dfunc-module">metrolopy.dfunc module</a></li>
+<li><a class="reference internal" href="#metrolopy-distributions-module">metrolopy.distributions module</a></li>
+<li><a class="reference internal" href="#metrolopy-exceptions-module">metrolopy.exceptions module</a></li>
+<li><a class="reference internal" href="#metrolopy-fit-module">metrolopy.fit module</a></li>
+<li><a class="reference internal" href="#metrolopy-functions-module">metrolopy.functions module</a></li>
+<li><a class="reference internal" href="#metrolopy-gummy-module">metrolopy.gummy module</a></li>
+<li><a class="reference internal" href="#metrolopy-logunit-module">metrolopy.logunit module</a></li>
+<li><a class="reference internal" href="#metrolopy-mean-module">metrolopy.mean module</a></li>
+<li><a class="reference internal" href="#metrolopy-nonlinearunit-module">metrolopy.nonlinearunit module</a></li>
+<li><a class="reference internal" href="#metrolopy-nummy-module">metrolopy.nummy module</a></li>
+<li><a class="reference internal" href="#metrolopy-offsetunit-module">metrolopy.offsetunit module</a></li>
+<li><a class="reference internal" href="#metrolopy-pmethod-module">metrolopy.pmethod module</a></li>
+<li><a class="reference internal" href="#metrolopy-prefixedunit-module">metrolopy.prefixedunit module</a></li>
+<li><a class="reference internal" href="#metrolopy-printing-module">metrolopy.printing module</a></li>
+<li><a class="reference internal" href="#metrolopy-relunits-module">metrolopy.relunits module</a></li>
+<li><a class="reference internal" href="#metrolopy-siunits-module">metrolopy.siunits module</a></li>
+<li><a class="reference internal" href="#metrolopy-ummy-module">metrolopy.ummy module</a></li>
+<li><a class="reference internal" href="#metrolopy-unit-module">metrolopy.unit module</a></li>
+<li><a class="reference internal" href="#metrolopy-unitutils-module">metrolopy.unitutils module</a></li>
+<li><a class="reference internal" href="#metrolopy-usunits-module">metrolopy.usunits module</a></li>
+<li><a class="reference internal" href="#metrolopy-version-module">metrolopy.version module</a></li>
 <li><a class="reference internal" href="#module-metrolopy">Module contents</a></li>
 </ul>
 </li>
@@ -6121,7 +190,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>
     <div class="footer" role="contentinfo">
diff --git a/docs/_build/html/metrolopy.tests.html b/docs/_build/html/metrolopy.tests.html
index 2eb5b25..435cfbe 100644
--- a/docs/_build/html/metrolopy.tests.html
+++ b/docs/_build/html/metrolopy.tests.html
@@ -4,7 +4,7 @@
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta charset="utf-8" />
-    <title>metrolopy.tests package &#8212; metrolopy 0.5.6 documentation</title>
+    <title>metrolopy.tests package &#8212; metrolopy 0.5.7 documentation</title>
     <link rel="stylesheet" href="_static/nature.css" type="text/css" />
     <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
     <script id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
@@ -24,7 +24,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>  
 
@@ -38,13 +38,8 @@ <h1>metrolopy.tests package<a class="headerlink" href="#metrolopy-tests-package"
 <div class="section" id="submodules">
 <h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">¶</a></h2>
 </div>
-<div class="section" id="module-metrolopy.tests.test_create">
-<span id="metrolopy-tests-test-create-module"></span><h2>metrolopy.tests.test_create module<a class="headerlink" href="#module-metrolopy.tests.test_create" title="Permalink to this headline">¶</a></h2>
-<dl class="function">
-<dt id="metrolopy.tests.test_create.test_gummy_init">
-<code class="sig-prename descclassname">metrolopy.tests.test_create.</code><code class="sig-name descname">test_gummy_init</code><span class="sig-paren">(</span><em class="sig-param">n=None</em>, <em class="sig-param">exception_on_warning=True</em>, <em class="sig-param">prnt=False</em>, <em class="sig-param">plot=False</em><span class="sig-paren">)</span><a class="headerlink" href="#metrolopy.tests.test_create.test_gummy_init" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
+<div class="section" id="metrolopy-tests-test-create-module">
+<h2>metrolopy.tests.test_create module<a class="headerlink" href="#metrolopy-tests-test-create-module" title="Permalink to this headline">¶</a></h2>
 </div>
 <div class="section" id="module-metrolopy.tests">
 <span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-metrolopy.tests" title="Permalink to this headline">¶</a></h2>
@@ -61,7 +56,7 @@ <h3><a href="index.html">Table of Contents</a></h3>
   <ul>
 <li><a class="reference internal" href="#">metrolopy.tests package</a><ul>
 <li><a class="reference internal" href="#submodules">Submodules</a></li>
-<li><a class="reference internal" href="#module-metrolopy.tests.test_create">metrolopy.tests.test_create module</a></li>
+<li><a class="reference internal" href="#metrolopy-tests-test-create-module">metrolopy.tests.test_create module</a></li>
 <li><a class="reference internal" href="#module-metrolopy.tests">Module contents</a></li>
 </ul>
 </li>
@@ -97,7 +92,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>
     <div class="footer" role="contentinfo">
diff --git a/docs/_build/html/modules.html b/docs/_build/html/modules.html
index e47857b..9d1d2d2 100644
--- a/docs/_build/html/modules.html
+++ b/docs/_build/html/modules.html
@@ -4,7 +4,7 @@
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta charset="utf-8" />
-    <title>metrolopy &#8212; metrolopy 0.5.6 documentation</title>
+    <title>metrolopy &#8212; metrolopy 0.5.7 documentation</title>
     <link rel="stylesheet" href="_static/nature.css" type="text/css" />
     <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
     <script id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
@@ -24,7 +24,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>  
 
@@ -41,35 +41,35 @@ <h1>metrolopy<a class="headerlink" href="#metrolopy" title="Permalink to this he
 <li class="toctree-l2"><a class="reference internal" href="metrolopy.html#subpackages">Subpackages</a><ul>
 <li class="toctree-l3"><a class="reference internal" href="metrolopy.tests.html">metrolopy.tests package</a><ul>
 <li class="toctree-l4"><a class="reference internal" href="metrolopy.tests.html#submodules">Submodules</a></li>
-<li class="toctree-l4"><a class="reference internal" href="metrolopy.tests.html#module-metrolopy.tests.test_create">metrolopy.tests.test_create module</a></li>
+<li class="toctree-l4"><a class="reference internal" href="metrolopy.tests.html#metrolopy-tests-test-create-module">metrolopy.tests.test_create module</a></li>
 <li class="toctree-l4"><a class="reference internal" href="metrolopy.tests.html#module-metrolopy.tests">Module contents</a></li>
 </ul>
 </li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="metrolopy.html#submodules">Submodules</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.budget">metrolopy.budget module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.dfunc">metrolopy.dfunc module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.distributions">metrolopy.distributions module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.exceptions">metrolopy.exceptions module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.fit">metrolopy.fit module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.functions">metrolopy.functions module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.gummy">metrolopy.gummy module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.logunit">metrolopy.logunit module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.mean">metrolopy.mean module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.nonlinearunit">metrolopy.nonlinearunit module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.nummy">metrolopy.nummy module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.offsetunit">metrolopy.offsetunit module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.pmethod">metrolopy.pmethod module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.prefixedunit">metrolopy.prefixedunit module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.printing">metrolopy.printing module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.relunits">metrolopy.relunits module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.siunits">metrolopy.siunits module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.ummy">metrolopy.ummy module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.unit">metrolopy.unit module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.unitutils">metrolopy.unitutils module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.usunits">metrolopy.usunits module</a></li>
-<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy.version">metrolopy.version module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-budget-module">metrolopy.budget module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-dfunc-module">metrolopy.dfunc module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-distributions-module">metrolopy.distributions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-exceptions-module">metrolopy.exceptions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-fit-module">metrolopy.fit module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-functions-module">metrolopy.functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-gummy-module">metrolopy.gummy module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-logunit-module">metrolopy.logunit module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-mean-module">metrolopy.mean module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-nonlinearunit-module">metrolopy.nonlinearunit module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-nummy-module">metrolopy.nummy module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-offsetunit-module">metrolopy.offsetunit module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-pmethod-module">metrolopy.pmethod module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-prefixedunit-module">metrolopy.prefixedunit module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-printing-module">metrolopy.printing module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-relunits-module">metrolopy.relunits module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-siunits-module">metrolopy.siunits module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-ummy-module">metrolopy.ummy module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-unit-module">metrolopy.unit module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-unitutils-module">metrolopy.unitutils module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-usunits-module">metrolopy.usunits module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrolopy.html#metrolopy-version-module">metrolopy.version module</a></li>
 <li class="toctree-l2"><a class="reference internal" href="metrolopy.html#module-metrolopy">Module contents</a></li>
 </ul>
 </li>
@@ -113,7 +113,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>
     <div class="footer" role="contentinfo">
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\ No newline at end of file
diff --git a/docs/_build/html/todo.html b/docs/_build/html/todo.html
index 2ff0646..6e619d2 100644
--- a/docs/_build/html/todo.html
+++ b/docs/_build/html/todo.html
@@ -4,7 +4,7 @@
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta charset="utf-8" />
-    <title>to do &#8212; metrolopy 0.5.6 documentation</title>
+    <title>to do &#8212; metrolopy 0.5.7 documentation</title>
     <link rel="stylesheet" href="_static/nature.css" type="text/css" />
     <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
     <script id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
@@ -24,7 +24,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>  
 
@@ -77,7 +77,7 @@ <h3>Navigation</h3>
         <li class="right" >
           <a href="py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
-        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.6 documentation</a> &#187;</li> 
+        <li class="nav-item nav-item-0"><a href="index.html">metrolopy 0.5.7 documentation</a> &#187;</li> 
       </ul>
     </div>
     <div class="footer" role="contentinfo">
diff --git a/docs/index.rst b/docs/index.rst
index 4422d40..a5f2f2d 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -127,7 +127,8 @@ version history
 * Version 0.5.3, built 10 April 2019, minor bug fixes.
 * Version 0.5.4, built 15 April 2019, minor bug fixes.
 * Version 0.5.5, built 7 May 2020, minor bug fixes.
-* Version 0.5.6, built 24 September 2020, minor bug fixes.
+* Version 0.5.6, built 24 September 2020, minor bug fixes.
+* Version 0.5.7, built 26 September 2020, minor change to setup.py.
 
 
 author
diff --git a/metrolopy/version.py b/metrolopy/version.py
index d8b9246..7204dfe 100644
--- a/metrolopy/version.py
+++ b/metrolopy/version.py
@@ -20,4 +20,4 @@
 # You should have received a copy of the GNU General Public License along with 
 # MetroloPy. If not, see <http://www.gnu.org/licenses/>.
 
-__version__ = '0.5.6'
+__version__ = '0.5.7'
diff --git a/setup.py b/setup.py
index 3ec76a5..f7a5997 100644
--- a/setup.py
+++ b/setup.py
@@ -24,8 +24,7 @@
       url = 'http://nrc-cnrc.github.io/MetroloPy/',
       packages = ['metrolopy','metrolopy.tests'],
       package_data = {'metrolopy':['license.txt']},
-      setup_requires = ['numpy'],
-      install_requires=['scipy','matplotlib','pandas'],
+      install_requires=['numpy','scipy','matplotlib','pandas'],
       extras_require = {'pretty':['IPython']},
       zip_safe = True,
       classifiers=[