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Jan 24, 2020
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DOC: move convert_dtypes whatsnew to 1.0 #31279

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4140f02
move convert_dtypes to 1.0
Dr-Irv Jan 24, 2020
a65044f
fix docstring versionadded
Dr-Irv Jan 24, 2020
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30 changes: 30 additions & 0 deletions doc/source/whatsnew/v1.0.0.rst
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Expand Up @@ -157,6 +157,36 @@ You can use the alias ``"boolean"`` as well.
s = pd.Series([True, False, None], dtype="boolean")
s

.. _whatsnew_100.convert_dtypes:

``convert_dtypes`` method to ease use of supported extension dtypes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

In order to encourage use of the extension dtypes ``StringDtype``,
``BooleanDtype``, ``Int64Dtype``, ``Int32Dtype``, etc., that support ``pd.NA``, the
methods :meth:`DataFrame.convert_dtypes` and :meth:`Series.convert_dtypes`
have been introduced. (:issue:`29752`) (:issue:`30929`)

Example:

.. ipython:: python

df = pd.DataFrame({'x': ['abc', None, 'def'],
'y': [1, 2, np.nan],
'z': [True, False, True]})
df
df.dtypes

.. ipython:: python

converted = df.convert_dtypes()
converted
converted.dtypes

This is especially useful after reading in data using readers such as :func:`read_csv`
and :func:`read_excel`.
See :ref:`here <missing_data.NA.conversion>` for a description.

.. _whatsnew_100.numba_rolling_apply:

Using Numba in ``rolling.apply`` and ``expanding.apply``
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30 changes: 0 additions & 30 deletions doc/source/whatsnew/v1.1.0.rst
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Expand Up @@ -13,36 +13,6 @@ including other versions of pandas.
Enhancements
~~~~~~~~~~~~

.. _whatsnew_100.convert_dtypes:

``convert_dtypes`` method to ease use of supported extension dtypes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

In order to encourage use of the extension dtypes ``StringDtype``,
``BooleanDtype``, ``Int64Dtype``, ``Int32Dtype``, etc., that support ``pd.NA``, the
methods :meth:`DataFrame.convert_dtypes` and :meth:`Series.convert_dtypes`
have been introduced. (:issue:`29752`) (:issue:`30929`)

Example:

.. ipython:: python

df = pd.DataFrame({'x': ['abc', None, 'def'],
'y': [1, 2, np.nan],
'z': [True, False, True]})
df
df.dtypes

.. ipython:: python

converted = df.convert_dtypes()
converted
converted.dtypes

This is especially useful after reading in data using readers such as :func:`read_csv`
and :func:`read_excel`.
See :ref:`here <missing_data.NA.conversion>` for a description.

.. _whatsnew_110.period_index_partial_string_slicing:

Nonmonotonic PeriodIndex Partial String Slicing
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2 changes: 1 addition & 1 deletion pandas/core/generic.py
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Expand Up @@ -5741,7 +5741,7 @@ def convert_dtypes(
"""
Convert columns to best possible dtypes using dtypes supporting ``pd.NA``.

.. versionadded:: 1.1.0
.. versionadded:: 1.0.0

Parameters
----------
Expand Down