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TYPING/DOC: Move custom type to _typing and add whatsnew #35220

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merged 10 commits into from
Jul 11, 2020

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charlesdong1991
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followup of #29116

details see : #29116 (comment)

@@ -332,6 +332,7 @@ Other enhancements
- :meth:`~Series.explode` now accepts ``ignore_index`` to reset the index, similarly to :meth:`pd.concat` or :meth:`DataFrame.sort_values` (:issue:`34932`).
- :meth:`read_csv` now accepts string values like "0", "0.0", "1", "1.0" as convertible to the nullable boolean dtype (:issue:`34859`)
- :class:`pandas.core.window.ExponentialMovingWindow` now supports a ``times`` argument that allows ``mean`` to be calculated with observations spaced by the timestamps in ``times`` (:issue:`34839`)
- :meth:`DataFrame.agg` and :meth:`Series.agg` now accept named aggregation for renaming the output columns/indexes. (:issue:`26513`)
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Apologize that somehow i didn't notice there wasn't a whatsnew note.

Added here!

@charlesdong1991 charlesdong1991 added Docs Typing type annotations, mypy/pyright type checking labels Jul 10, 2020
@@ -96,3 +96,11 @@
# DataFrame::sort_index, among others
ValueKeyFunc = Optional[Callable[["Series"], Union["Series", AnyArrayLike]]]
IndexKeyFunc = Optional[Callable[["Index"], Union["Index", AnyArrayLike]]]

# types of `func` kwarg for DataFrame.aggregate and Series.aggregate
AggFuncTypeBase = Union[Callable, str]
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If there is a more generic name you can think of than AggFuncTypeBase I think would be useful in other areas that aren't aggregations; i.e. in groupby a lot we accept a callable / str and resolve the latter to a builtin or NumPy func if we can, which could use this same type

@jreback jreback added this to the 1.1 milestone Jul 11, 2020
@jreback jreback merged commit 12086b3 into pandas-dev:master Jul 11, 2020
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jreback commented Jul 11, 2020

thanks @charlesdong1991

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3 participants