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DOC: Updated convert_dtype of Series.apply #39941

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Merged
merged 8 commits into from
Apr 25, 2021
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DOC: Updated convert_dtype of Series.apply #39941

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DOC: Updated convert_dtype of Series.apply
sukriti1 Feb 20, 2021
9bef842
DOC: Updated convert_dtype for pandas.Series.apply
sukriti1 Feb 20, 2021
1555836
DOC: Updated convert_dtype for pandas.Series.apply
sukriti1 Feb 20, 2021
3dfad1c
Editing the doc
sukriti1 Mar 1, 2021
8cb2910
only mention categorical as example
MarcoGorelli Mar 10, 2021
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Merge remote-tracking branch 'upstream/master' into pr/sukriti1/39941
MarcoGorelli Mar 10, 2021
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updates
sukriti1 Apr 16, 2021
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changes
sukriti1 Apr 16, 2021
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3 changes: 2 additions & 1 deletion pandas/core/series.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4067,7 +4067,8 @@ def apply(
Python function or NumPy ufunc to apply.
convert_dtype : bool, default True
Try to find better dtype for elementwise function results. If
False, leave as dtype=object.
False, leave as dtype=object. Note that conversion does not
happen for extension array dtypes, such as Categorical.
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The phrase "Note that conversion does not happen" seems ambiguous to me. Is it that the conversion to object doesn't happen, or the conversion to find a better dtype? Maybe something like "Note that the dtype is always preserved for extension array dtypes, such as Categorical."

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+1

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Hi @sukriti1 - do you want to update as per @rhshadrach 's suggestion? Sorry for having led you down the wrong route initially

args : tuple
Positional arguments passed to func after the series value.
**kwargs
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