Ensure column.fillna signatures are consistent - #14724
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| method: Any = None, | ||
| dtype: Optional[Dtype] = None, | ||
| ) -> CategoricalColumn: | ||
| method: Optional[str] = None, |
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Just checking -- this is non-public so the API break of dropping dtype is not a "breaking change" right?
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I've been working under that assumption that cudf column objects are not public cc @shwina
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Yes, that should be fine! Just wanted to check in case this interacts with any future changes you were planning for public types.
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Gotcha. Yeah the arguments being modified in Column.fillna do not clash with Series/DataFrame.fillna
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/merge |
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Description
Aligns the definitions of
Columns.fillnaamong all subclasses.dtypelooks to only needed in certain instances to cast the fill value so can do that separately. Afill_nancan be avoided with its single usage in acan_castroutine by checking for nan firstChecklist