pandas_alive v0.2.3

• Fixed an ongoing problem with animate_multiple_plots when re-using a line or scatter chart. Corresponding subplots would show a static figure from a previous single animation.
• Fixed fig= for single animations not being passed properly as a custom figure.
• Several performance improvements to speed up loops in animations.
• Fixed a problem with line and scatter plots being chopped off near the vertical limit values.
• Added a colorbar with bubble plots when a Pandas df column is passed as a colour. Currently only for individual animations.
• Added options for bubble plots above to control the colorbar scale limits with vmin & vmax. If None, then they are automatically calculated.
• Added option add_legend= for line and scatter animations for single & multiple plots. Default is True.
• Added the option enable_progress_bar= to animate_multiple_plots. Default is False.
• Improved the ability to re-use figures & axes in a notebook for multiple plots. Occasionally, these used to carry over old frames into a new animation.
• Made animate_multiple_plots to create a Figure() instance instead of a figure() one. Note that matplotlib can take twice as long to generate animations with the latter instance type. Not clear why.
• Added a new folder ./examples/test_notebooks/ for future collaborators to add new notebooks.
• Removed the limitation for the interpolation (interpolate_period=) only to work with a DateTime index. It should now work with any numeric df index.

pandas_alive v0.2.2

0.2.2 - 2020-06-04

• Additional error catching with warnings for modules not being installed
• Add both attrs and pillow as dependancies, so users can install with pip and have it just work

pandas_alive v0.2.1

0.2.1 - 2020-06-02

• Custom figures now supported in animate_multiple_plots
• Writing to GIF in memory with PIL now supported, no external dependancies for gifs!

pandas_alive v0.2.0

[0.2.0]

• Changing version format MAJOR.MINOR.PATCH
• Introduces support for geospatial data with geopandas
  • Introduces support for basemap on geospatial datasets with contextily

pandas_alive v2020.05.15

• Officially changing to version format with YYYY.MM.VERSION
• Hotfix for anaconda environment throwing an error:
  • ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

pandas_alive v0.1.14

[0.1.14] - 2020-05-23

• Progress bars (thanks to tqdm can now be enabled with `df.plot_animated(enable_progress_bar=True)
• Writer can now be specified with df.plot_animated(writer="imagemagick")
  • Pillow is now explicitly unsupported, see relevant issue here #5

pandas_alive v0.1.13d1

This release is solely to trigger github actions to rebuild docs

pandas_alive v0.1.13

• New chart type introduced: Bubble Charts, to be used with MultiIndexed DataFrames.

  • Bubble charts support x & y axis by data inside MultiIndex (x_data_label & y_data_label)
  • Bubble charts support size & color optionally by data inside DataFrame (size_data_label & color_data_label)

• New chart type introduced: Scatter Chart

• New chart type introduced: Bar Chart, create animated bar charts with time as the x-axis

• QOL improvements for warnings & errors

• Line charts now support filling underneath to mimic an area chart df.plot_animated(kind="line",fill_under_line_color="red")

• Line charts now support event labelling with perpendicular bars

  df.plot_animated(
              kind='line',
              label_events={
                  'Ruby Princess Disembark':datetime.strptime("19/03/2020", "%d/%m/%Y"),
                  'Lockdown':datetime.strptime("31/03/2020", "%d/%m/%Y")
              },
          )

pandas_alive v0.1.12

• fixed_max optional for all chart
• fixed_max amended to work with multiple plots

pandas_alive v0.1.11

• period_summary_func provided for charts to display overall period calculations on plot
• Bar chart functionality extended
  • fixed_order can be used to disable bars moving on bar chart
  • fixed_max set limits of axis on charts to be total maximum of dataframe rather than dynamic
  • perpendicular_bar_func Plot perpendicular black bar on plot to demonstrate different stats, eg, max, min, median, etc. Use with Series.agg()