8000 BUG: dropna incorrect with categoricals in pivot_table by jreback · Pull Request #21252 · pandas-dev/pandas · GitHub
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BUG: dropna incorrect with categoricals in pivot_table #21252

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Jun 7, 2018
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Merge branch 'master' into pivot
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jorisvandenbossche authored Jun 7, 2018
commit b4885e657803a71a4be970bfa32a61e25245e330
4 changes: 2 additions & 2 deletions doc/source/whatsnew/v0.23.1.txt
Original file line number Diff line number Diff line change
Expand Up @@ -29,6 +29,7 @@ Fixed Regressions
- Bug in :meth:`~DataFrame.to_csv` causes encoding error when compression and encoding are specified (:issue:`21241`, :issue:`21118`)
- Bug preventing pandas from being importable with -OO optimization (:issue:`21071`)
- Bug in :meth:`Categorical.fillna` incorrectly raising a ``TypeError`` when `value` the individual categories are iterable and `value` is an iterable (:issue:`21097`, :issue:`19788`)
- Regression in :func:`pivot_table` where an ordered ``Categorical`` for the ``index`` and missing values in the ``values`` would give a mis-ordered result (:issue:`21133`)


.. _whatsnew_0231.performance:
Expand Down Expand Up @@ -78,8 +79,7 @@ I/O
Reshaping

- Bug in :func:`concat` where error was raised in concatenating :class:`Series` with numpy scalar and tuple names (:issue:`21015`)
- Bug in :func:`pivot_table` with ``dropna=True``, an ordered ``Categorical`` for the index pivots and missing values in the ``values`` would give a mis-ordered result (:issue:`21133`)
-
- Bug in :func:`concat` warning message providing the wrong guidance for future behavior (:issue:`21101`)

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