Warning
Starting with the 0.25.x series of releases, pandas only supports Python 3.5 and higher. See :ref:`install.dropping-27` for more details.
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These are the changes in pandas 0.25.0. See :ref:`release` for a full changelog including other versions of pandas.
- Indexing and __getitem__ of DataFrame and Series now accept zerodim np.ndarray. (:issue:`24919`)
- :meth:`Timestamp.replace` now supports the
foldargument to disambiguate DST transition times (:issue:`25017`)
- Significant speedup in SparseArray initialization that benefits most operations, fixing performance regression introduced in v0.20.0 (:issue:`24985`)
- DataFrame.to_stata() is now faster when outputting data with any string or non-native endian columns (:issue:`25045`)
- Bug in :func:`to_datetime` with
utc=Trueand datetime strings that would apply previously parsed UTC offsets to subsequent arguments (:issue:`24992`)
- Bug in :meth:`to_numeric` in which large negative numbers were being improperly handled (:issue:`24910`)
- Bug in :meth:`to_numeric` in which numbers were being coerced to float, even though
errorswas notcoerce(:issue:`24910`)
- Fixed bug in missing text when using :meth:`to_clipboard` if copying utf-16 characters in Python 3 on Windows (:issue:`25040`)
- Bug in :func:`merge` when merging by index name would sometimes result in an incorrectly numbered index (:issue:`24212`)
- :func:`to_records` now accepts dtypes to its column_dtypes parameter (:issue:`24895`)
- Significant speedup in SparseArray initialization that benefits most operations, fixing performance regression introduced in v0.20.0 (:issue:`24985`)
.. contributors:: v0.24.x..HEAD