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What's new in 1.5.3 (December ??, 2022)

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

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Fixed regressions

  • Fixed performance regression in Series.isin when values is empty (49839)
  • Fixed regression in DataFrame.memory_usage showing unnecessary FutureWarning when DataFrame is empty (50066)
  • Fixed regression in .DataFrameGroupBy.transform when used with as_index=False (49834)
  • Enforced reversion of color as an alias for c and size as an alias for s in function DataFrame.plot.scatter (49732)
  • Fixed regression in .SeriesGroupBy.apply setting a name attribute on the result if the result was a DataFrame (49907)
  • Fixed performance regression in setting with the ~DataFrame.at indexer (49771)
  • 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 (50538)

Bug fixes

  • Bug in the Copy-on-Write implementation losing track of views when indexing a DataFrame with another DataFrame (50630)
  • Bug in .Styler.to_excel leading to error when unrecognized border-style (e.g. "hair") provided to Excel writers (48649)
  • Bug in Series.quantile emitting warning from NumPy when Series has only NA values (50681)
  • Bug when chaining several .Styler.concat calls, only the last styler was concatenated (49207)
  • Fixed bug when instantiating a DataFrame subclass inheriting from typing.Generic that triggered a UserWarning on python 3.11 (49649)
  • Bug in pivot_table with NumPy 1.24 or greater when the DataFrame columns has nested elements (50342)
  • Bug in pandas.testing.assert_series_equal (and equivalent assert_ functions) when having nested data and using numpy >= 1.25 (50360)

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 (45324) of behavior of Series.__getitem__ and Series.__setitem__ slicing with an integer Index; this will remain positional (49612)
  • A FutureWarning raised when attempting to set values inplace with DataFrame.loc or DataFrame.loc has been changed to a DeprecationWarning (48673)

Contributors

v1.5.2..v1.5.3|HEAD