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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.

notable_bug_fix1

notable_bug_fix2

Backwards incompatible API changes

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.

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

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

The attributes and methods of :class:`ExcelWriter` were previously documented as not being public. However some third party Excel engines documented accessing ExcelWriter.book or ExcelWriter.sheets, and users were utilizing these and possibly other attributes. In order to support this, pandas has made some attributes and methods public. Other attributes and methods have been deprecated and will raise a FutureWarning when accessed as they will be removed in a future version. See the documentation of :class:`ExcelWriter` for further details.

Other Deprecations

Performance improvements

Bug fixes

Categorical

Datetimelike

Timedelta

Timezones

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 arraylike 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

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

Other

Contributors