v0.24.2.rst

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Whats New in 0.24.2 (February XX, 2019)

Warning

The 0.24.x series of releases will be the last to support Python 2. Future feature releases will support Python 3 only. See :ref:`install.dropping-27` for more.

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These are the changes in pandas 0.24.2. See :ref:`release` for a full changelog including other versions of pandas.

Fixed Regressions

• Fixed regression in :meth:`DataFrame.all` and :meth:`DataFrame.any` where bool_only=True was ignored (:issue:`25101`)
• Fixed issue in DataFrame construction with passing a mixed list of mixed types could segfault. (:issue:`25075`)
• Fixed regression in :meth:`DataFrame.apply` causing RecursionError when dict-like classes were passed as argument. (:issue:`25196`)
• Fixed regression in :meth:`DataFrame.duplicated()`, where empty dataframe was not returning a boolean dtyped Series. (:issue:`25184`)
• Fixed regression in :meth:`Series.min` and :meth:`Series.max` where numeric_only=True was ignored when the Series contained `Categorical data (:issue:`25299`)
• Fixed regression in subtraction between :class:`Series` objects with datetime64[ns] dtype incorrectly raising OverflowError when the Series on the right contains null values (:issue:`25317`)
• Fixed regression in :class:`TimedeltaIndex` where np.sum(index) incorrectly returned a zero-dimensional object instead of a scalar (:issue:`25282`)
• Fixed regression in IntervalDtype construction where passing an incorrect string with 'Interval' as a prefix could result in a RecursionError. (:issue:`25338`)

Enhancements

Bug Fixes

Conversion

Indexing

I/O

• Better handling of terminal printing when the terminal dimensions are not known (:issue:`25080`);
• Bug in reading a HDF5 table-format DataFrame created in Python 2, in Python 3 (:issue:`24925`)
• Bug in reading a JSON with orient='table' generated by :meth:`DataFrame.to_json` with index=False (:issue:`25170`)
• Bug where float indexes could have misaligned values when printing (:issue:`25061`)

Categorical

Timezones

Timedelta

Reshaping

• Bug in :meth:`pandas.core.groupby.GroupBy.transform` where applying a function to a timezone aware column would return a timezone naive result (:issue:`24198`)
• Bug in :func:`DataFrame.join` when joining on a timezone aware :class:`DatetimeIndex` (:issue:`23931`)

Visualization

Other

• Bug in :meth:`Series.is_unique` where single occurrences of NaN were not considered unique (:issue:`25180`)

Contributors

.. contributors:: v0.24.1..v0.24.2