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What's new in 1.5.0 (??)

These are the changes in pandas 1.5.0. See :ref:`release` for a full changelog including other versions of pandas.

{{ header }}

Enhancements

Styler

enhancement2

Other enhancements

Notable bug fixes

These are bug fixes that might have notable behavior changes.

Styler

notable_bug_fix2

Backwards incompatible API changes

read_xml now supports dtype, converters, and parse_dates

Similar to other IO methods, :func:`pandas.read_xml` now supports assigning specific dtypes to columns, apply converter methods, and parse dates (:issue:`43567`).

.. ipython:: python

    xml_dates = """<?xml version='1.0' encoding='utf-8'?>
    <data>
      <row>
        <shape>square</shape>
        <degrees>00360</degrees>
        <sides>4.0</sides>
        <date>2020-01-01</date>
       </row>
      <row>
        <shape>circle</shape>
        <degrees>00360</degrees>
        <sides/>
        <date>2021-01-01</date>
      </row>
      <row>
        <shape>triangle</shape>
        <degrees>00180</degrees>
        <sides>3.0</sides>
        <date>2022-01-01</date>
      </row>
    </data>"""

    df = pd.read_xml(
        xml_dates,
        dtype={'sides': 'Int64'},
        converters={'degrees': str},
        parse_dates=['date']
    )
    df
    df.dtypes

api_breaking_change2

Increased minimum versions for dependencies

Some minimum supported versions of dependencies were updated. If installed, we now require:

Package Minimum Version Required Changed
mypy (dev) 0.931   X

For optional libraries the general recommendation is to use the latest version. The following table lists the lowest version per library that is currently being tested throughout the development of pandas. Optional libraries below the lowest tested version may still work, but are not considered supported.

Package Minimum Version Changed
    X

See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for more.

Other API changes

Deprecations

In a future version, integer slicing on a :class:`Series` with a :class:`Int64Index` or :class:`RangeIndex` will be treated as label-based, not positional. This will make the behavior consistent with other :meth:`Series.__getitem__` and :meth:`Series.__setitem__` behaviors (:issue:`45162`).

For example:

.. ipython:: python

   ser = pd.Series([1, 2, 3, 4, 5], index=[2, 3, 5, 7, 11])

In the old behavior, ser[2:4] treats the slice as positional:

Old behavior:

In [3]: ser[2:4]
Out[3]:
5    3
7    4
dtype: int64

In a future version, this will be treated as label-based:

Future behavior:

In [4]: ser.loc[2:4]
Out[4]:
2    1
3    2
dtype: int64

To retain the old behavior, use series.iloc[i:j]. To get the future behavior, use series.loc[i:j].

Slicing on a :class:`DataFrame` will not be affected.

:class:`ExcelWriter` attributes

All attributes of :class:`ExcelWriter` were previously documented as not public. However some third party Excel engines documented accessing ExcelWriter.book or ExcelWriter.sheets, and users were utilizing these and possibly other attributes. Previously these attributes were not safe to use; e.g. modifications to ExcelWriter.book would not update ExcelWriter.sheets and conversely. In order to support this, pandas has made some attributes public and improved their implementations so that they may now be safely used. (:issue:`45572`)

The following attributes are now public and considered safe to access.

  • book
  • check_extension
  • close
  • date_format
  • datetime_format
  • engine
  • if_sheet_exists
  • sheets
  • supported_extensions

The following attributes have been deprecated. They now raise a FutureWarning when accessed and will be removed in a future version. Users should be aware that their usage is considered unsafe, and can lead to unexpected results.

  • cur_sheet
  • handles
  • path
  • save
  • write_cells

See the documentation of :class:`ExcelWriter` for further details.

Other Deprecations

Performance improvements

Bug fixes

Categorical

Datetimelike

Timedelta

Time Zones

Numeric

  • Bug in operations with array-likes with dtype="boolean" and :attr:`NA` incorrectly altering the array in-place (:issue:`45421`)
  • Bug in multiplying a :class:`Series` with IntegerDtype or FloatingDtype by an array-like with timedelta64[ns] dtype incorrectly raising (:issue:`45622`)

Conversion

Strings

Interval

Indexing

Missing

MultiIndex

I/O

Period

Plotting

Groupby/resample/rolling

Reshaping

Sparse

ExtensionArray

Styler

  • Bug when attempting to apply styling functions to an empty DataFrame subset (:issue:`45313`)

Other

Contributors