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See the example:
size = 10**8 arrays = [(np.arange(size)//2).tolist(), np.arange(size).tolist(),] tuples = list(zip(*arrays)) tuples index = pd.MultiIndex.from_tuples(tuples, names=["first", "second"]) s = pd.Series(np.random.randn(size), index=index) s df = s.to_frame()
Results in:
In [7]: ak.DataFrame(df) --------------------------------------------------------------------------- TypeError Traceback (most recent call last) File ~/git/arkouda/arkouda/pdarraycreation.py:279, in array(a, dtype, max_bits) 278 while any(a != 0) and len(uint_arrays) < early_out: --> 279 low, a = a % 2**64, a // 2**64 280 uint_arrays.append(array(np.array(low, dtype=np.uint), dtype=akuint64)) TypeError: unsupported operand type(s) for %: 'tuple' and 'int' During handling of the above exception, another exception occurred: RuntimeError Traceback (most recent call last) Cell In[7], line 1 ----> 1 ak.DataFrame(df) File ~/git/arkouda/arkouda/dataframe.py:928, in DataFrame.__init__(self, initialdata, index, columns) 925 self._columns = initialdata.columns.tolist() 927 if index is None: --> 928 self._set_index(initialdata.index) 929 else: 930 self._set_index(index) File ~/git/arkouda/arkouda/dataframe.py:1891, in DataFrame._set_index(self, value) 1889 self._index = value 1890 elif isinstance(value, (pdarray, Strings, pd.Index)): -> 1891 self._index = Index(value) 1892 elif isinstance(value, list): 1893 self._index = Index(array(value)) File ~/anaconda3/envs/arkouda-dev/lib/python3.12/site-packages/typeguard/__init__.py:891, in typechecked.<locals>.wrapper(*args, **kwargs) 889 memo = _CallMemo(python_func, _localns, args=args, kwargs=kwargs) 890 check_argument_types(memo) --> 891 retval = func(*args, **kwargs) 892 check_return_type(retval, memo) 894 # If a generator is returned, wrap it if its yield/send/return types can be checked File ~/git/arkouda/arkouda/index.py:93, in Index.__init__(self, values, name, allow_list, max_list_size) 91 self.values = Categorical(values.values) 92 else: ---> 93 self.values = array(values.values) 94 self.size = values.size 95 self.dtype = self.values.dtype File ~/git/arkouda/arkouda/pdarraycreation.py:283, in array(a, dtype, max_bits) 281 return bigint_from_uint_arrays(uint_arrays[::-1], max_bits=max_bits) 282 except TypeError: --> 283 raise RuntimeError(f"Unhandled dtype {a.dtype}") 284 else: 285 from arkouda.util import _infer_shape_from_size RuntimeError: Unhandled dtype object
The text was updated successfully, but these errors were encountered:
ajpotts
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See the example:
Results in:
The text was updated successfully, but these errors were encountered: