Implement cudf.MultiIndex.from_arrays - #14740
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| """ | ||
| Convert arrays to MultiIndex. | ||
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| Parameters |
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Missing sortorder docstring in parameters.
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Good catch. Added
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| @pytest.mark.parametrize( | ||
| "array", | ||
| [list, tuple, np.array, pd.Index, cudf.Index, pd.Series, cudf.Series], |
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Should we also test cupy arrays?
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| for array in arrays: | ||
| if not (is_list_like(array) or is_column_like(array)): | ||
| raise TypeError(error_msg) | ||
| code, level = factorize(array, sort=True) | ||
| codes.append(code) | ||
| levels.append(level) |
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As a functional exercise, this can rewrite as a map statement:
code_levels = map(functools.partial(factorize, sort=True), array)
codes, levels = [x[0] for x in code_levels], [x[1] for x in code_levels]Error checking is also functional:
if not all (is_list_like(arr) or is_column_like(arr) for arr in arrays):
raise TypeError(error_msg)
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Ya my idea was just to do the validation + factorization in the same loop
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Jan 18, 2024
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/merge |
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Description
Implements
cudf.MultiIndex.from_arraysChecklist