What’s new in 2.3.0 (Month XX, 2024)#

These are the changes in pandas 2.3.0. See Release notes for a full changelog including other versions of pandas.

Upcoming changes in pandas 3.0#

Enhancements#

enhancement1#

Other enhancements#

The semantics for the copy keyword in __array__ methods (i.e. called when using np.array() or np.asarray() on pandas objects) has been updated to work correctly with NumPy >= 2 (GH 57739)
Series.str.decode() result now has StringDtype when future.infer_string is True (GH 60709)
to_hdf() and to_hdf() now round-trip with StringDtype (GH 60663)
Improved repr of NumpyExtensionArray to account for NEP51 (GH 61085)
The Series.str.decode() has gained the argument dtype to control the dtype of the result (GH 60940)
The cumsum(), cummin(), and cummax() reductions are now implemented for StringDtype columns (GH 60633)
The sum() reduction is now implemented for StringDtype columns (GH 59853)

Notable bug fixes#

These are bug fixes that might have notable behavior changes.

notable_bug_fix1#

API changes#

When enabling the future.infer_string option: Index set operations (like union or intersection) will now ignore the dtype of an empty RangeIndex or empty Index with object dtype when determining the dtype of the resulting Index (GH 60797)

Deprecations#

Deprecated allowing non-bool values for na in str.contains(), str.startswith(), and str.endswith() for dtypes that do not already disallow these (GH 59615)
Deprecated the "pyarrow_numpy" storage option for StringDtype (GH 60152)

Performance improvements#

Bug fixes#

Categorical#

Datetimelike#

Timedelta#

Timezones#

Numeric#

Enabled Series.mode and DataFrame.mode with dropna=False to sort the result for all dtypes in the presence of NA values; previously only certain dtypes would sort (GH 60702)

Conversion#

Strings#

Bug in DataFrame.sum() with axis=1, DataFrameGroupBy.sum() or SeriesGroupBy.sum() with skipna=True, and Resampler.sum() on StringDtype with all NA values resulted in 0 and is now the empty string "" (GH 60229)
Bug in Series.__pos__() and DataFrame.__pos__() did not raise for StringDtype with storage="pyarrow" (GH 60710)
Bug in Series.rank() for StringDtype with storage="pyarrow" incorrectly returning integer results in case of method="average" and raising an error if it would truncate results (GH 59768)
Bug in Series.replace() with StringDtype when replacing with a non-string value was not upcasting to object dtype (GH 60282)
Bug in Series.str.replace() when n < 0 for StringDtype with storage="pyarrow" (GH 59628)
Bug in ser.str.slice with negative step with ArrowDtype and StringDtype with storage="pyarrow" giving incorrect results (GH 59710)
Bug in the center method on Series and Index object str accessors with pyarrow-backed dtype not matching the python behavior in corner cases with an odd number of fill characters (GH 54792)

Interval#

Indexing#

Fixed bug in Index.get_indexer() round-tripping through string dtype when infer_string is enabled (GH 55834)

Missing#

MultiIndex#

I/O#

DataFrame.to_excel() was storing decimals as strings instead of numbers (GH 49598)

Period#

Plotting#

Groupby/resample/rolling#

Reshaping#

Sparse#

ExtensionArray#

Styler#

Other#

Fixed usage of inspect when the optional dependencies pyarrow or jinja2 are not installed (GH 60196)

Contributors#