What’s new in 1.5.3 (January 18, 2023)

These are the changes in pandas 1.5.3. See Release notes for a full changelog including other versions of pandas.

Fixed regressions

• Fixed performance regression in Series.isin() when values is empty (GH49839)

• Fixed regression in DataFrame.memory_usage() showing unnecessary FutureWarning when DataFrame is empty (GH50066)

• Fixed regression in DataFrameGroupBy.transform() when used with as_index=False (GH49834)

• Enforced reversion of color as an alias for c and size as an alias for s in function DataFrame.plot.scatter() (GH49732)

• Fixed regression in SeriesGroupBy.apply() setting a name attribute on the result if the result was a DataFrame (GH49907)

• Fixed performance regression in setting with the at() indexer (GH49771)

• Fixed regression in the methods apply, agg, and transform when used with NumPy functions that informed users to supply numeric_only=True if the operation failed on non-numeric dtypes; such columns must be dropped prior to using these methods (GH50538)

• Fixed regression in to_datetime() raising ValueError when parsing array of float containing np.nan (GH50237)

Bug fixes

• Bug in the Copy-on-Write implementation losing track of views when indexing a DataFrame with another DataFrame (GH50630)

• Bug in Styler.to_excel() leading to error when unrecognized border-style (e.g. "hair") provided to Excel writers (GH48649)

• Bug in Series.quantile() emitting warning from NumPy when Series has only NA values (GH50681)

• Bug when chaining several Styler.concat() calls, only the last styler was concatenated (GH49207)

• Fixed bug when instantiating a DataFrame subclass inheriting from typing.Generic that triggered a UserWarning on python 3.11 (GH49649)

• Bug in pivot_table() with NumPy 1.24 or greater when the DataFrame columns has nested elements (GH50342)

• Bug in pandas.testing.assert_series_equal() (and equivalent assert_ functions) when having nested data and using numpy >= 1.25 (GH50360)

Other

Note

If you are using DataFrame.to_sql(), read_sql(), read_sql_table(), or read_sql_query() with SQLAlchemy 1.4.46 or greater, you may see a sqlalchemy.exc.RemovedIn20Warning. These warnings can be safely ignored for the SQLAlchemy 1.4.x releases as pandas works toward compatibility with SQLAlchemy 2.0.

• Reverted deprecation (GH45324) of behavior of Series.__getitem__() and Series.__setitem__() slicing with an integer Index; this will remain positional (GH49612)

• A FutureWarning raised when attempting to set values inplace with DataFrame.loc() or DataFrame.iloc() has been changed to a DeprecationWarning (GH48673)

Contributors

For contributors, please see /usr/share/doc/contributors_list.txt or https://github.com/pandas-dev/pandas/graphs/contributors

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What’s new in 1.5.2 (November 21, 2022)