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Sep 7, 2022
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DOC: Clarify that objects dtype takes precedence in where #48380

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DOC: Clarify that objects dtype takes precedence in where
phofl Sep 3, 2022
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Add whatsnew
phofl Sep 6, 2022
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v1.5.0.rst
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Expand Up @@ -308,6 +308,7 @@ Other enhancements
- Implemented a complex-dtype :class:`Index`, passing a complex-dtype array-like to ``pd.Index`` will now retain complex dtype instead of casting to ``object`` (:issue:`45845`)
- :class:`Series` and :class:`DataFrame` with :class:`IntegerDtype` now supports bitwise operations (:issue:`34463`)
- Add ``milliseconds`` field support for :class:`.DateOffset` (:issue:`43371`)
- :meth:`DataFrame.where` tries to maintain dtype of :class:`DataFrame` if fill value can be cast without loss of precision (:issue:`45582`)
- :meth:`DataFrame.reset_index` now accepts a ``names`` argument which renames the index names (:issue:`6878`)
- :func:`concat` now raises when ``levels`` is given but ``keys`` is None (:issue:`46653`)
- :func:`concat` now raises when ``levels`` contains duplicate values (:issue:`46653`)
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3 changes: 3 additions & 0 deletions pandas/core/generic.py
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Expand Up @@ -9897,6 +9897,9 @@ def where(
For further details and examples see the ``{name}`` documentation in
:ref:`indexing <indexing.where_mask>`.

The dtype of the object takes precedence. The fill value is casted to
the objects dtype, if this can be done losslessly.

Examples
--------
>>> s = pd.Series(range(5))
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