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DOC: update versionadded references of 0.22 to 0.23 (#18911)
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doc/source/merging.rst

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@@ -568,7 +568,7 @@ standard database join operations between DataFrame objects:
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.. note::
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Support for specifying index levels as the ``on``, ``left_on``, and
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``right_on`` parameters was added in version 0.22.0.
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``right_on`` parameters was added in version 0.23.0.
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The return type will be the same as ``left``. If ``left`` is a ``DataFrame``
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and ``right`` is a subclass of DataFrame, the return type will still be

doc/source/reshaping.rst

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@@ -642,7 +642,7 @@ By default new columns will have ``np.uint8`` dtype. To choose another dtype use
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pd.get_dummies(df, dtype=bool).dtypes
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.. versionadded:: 0.22.0
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.. versionadded:: 0.23.0
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.. _reshaping.factorize:

pandas/core/categorical.py

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@@ -859,7 +859,7 @@ def rename_categories(self, new_categories, inplace=False):
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* callable : a callable that is called on all items in the old
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categories and whose return values comprise the new categories.
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.. versionadded:: 0.22.0
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.. versionadded:: 0.23.0
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.. warning::
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pandas/core/frame.py

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@@ -200,7 +200,7 @@
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Notes
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-----
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Support for specifying index levels as the `on`, `left_on`, and
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`right_on` parameters was added in version 0.22.0
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`right_on` parameters was added in version 0.23.0
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Examples
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--------
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of DataFrame objects
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Support for specifying index levels as the `on` parameter was added
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in version 0.22.0
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in version 0.23.0
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Examples
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--------

pandas/core/generic.py

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@@ -1692,7 +1692,7 @@ def to_json(self, path_or_buf=None, orient=None, date_format=None,
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including the index (``index=False``) is only supported when
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orient is 'split' or 'table'.
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.. versionadded:: 0.22.0
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.. versionadded:: 0.23.0
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Returns
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-------

pandas/core/indexes/base.py

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@@ -3785,7 +3785,7 @@ def drop(self, labels, errors='raise'):
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level : int or str, optional, default None
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Only return values from specified level (for MultiIndex)
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.. versionadded:: 0.22.0
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.. versionadded:: 0.23.0
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Returns
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-------

pandas/core/indexes/interval.py

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@@ -554,7 +554,7 @@ def to_tuples(self, na_tuple=True):
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Returns NA as a tuple if True, ``(nan, nan)``, or just as the NA
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value itself if False, ``nan``.
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..versionadded:: 0.22.0
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..versionadded:: 0.23.0
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Examples
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--------

pandas/core/reshape/melt.py

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@@ -200,7 +200,7 @@ def wide_to_long(df, stubnames, i, j, sep="", suffix=r'\d+'):
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.. versionadded:: 0.20.0
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.. versionchanged:: 0.22.0
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.. versionchanged:: 0.23.0
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When all suffixes are numeric, they are cast to int64/float64.
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Returns

pandas/core/reshape/reshape.py

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@@ -731,7 +731,7 @@ def get_dummies(data, prefix=None, prefix_sep='_', dummy_na=False,
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dtype : dtype, default np.uint8
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Data type for new columns. Only a single dtype is allowed.
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.. versionadded:: 0.22.0
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.. versionadded:: 0.23.0
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Returns
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-------

pandas/core/tools/datetimes.py

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@@ -184,7 +184,7 @@ def to_datetime(arg, errors='raise', dayfirst=False, yearfirst=False,
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conversion. May produce sigificant speed-up when parsing duplicate date
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strings, especially ones with timezone offsets.
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.. versionadded:: 0.22.0
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.. versionadded:: 0.23.0
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Returns
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-------

pandas/io/excel.py

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@@ -132,7 +132,7 @@
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nrows : int, default None
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Number of rows to parse
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.. versionadded:: 0.22.0
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.. versionadded:: 0.23.0
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na_values : scalar, str, list-like, or dict, default None
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Additional strings to recognize as NA/NaN. If dict passed, specific
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format.
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skip_footer : int, default 0
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.. deprecated:: 0.22.0
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.. deprecated:: 0.23.0
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Pass in `skipfooter` instead.
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skipfooter : int, default 0
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Rows at the end to skip (0-indexed)

pandas/io/formats/style.py

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"""
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Hide any indices from rendering.
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.. versionadded:: 0.22.0
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Returns
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"""
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Hide columns from rendering.
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.. versionadded:: 0.23.0
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Parameters
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----------

pandas/io/parquet.py

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@@ -131,7 +131,7 @@ def read(self, path, columns=None, **kwargs):
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def _validate_write_lt_070(self, df):
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# Compatibility shim for pyarrow < 0.7.0
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# TODO: Remove in pandas 0.22.0
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# TODO: Remove in pandas 0.23.0
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from pandas.core.indexes.multi import MultiIndex
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if isinstance(df.index, MultiIndex):
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msg = (

pandas/stats/moments.py

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@@ -209,7 +209,7 @@ def ensure_compat(dispatch, name, arg, func_kw=None, *args, **kwargs):
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kwds[k] = value
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# TODO: the below is only in place temporary until this module is removed.
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kwargs.pop('freq', None) # freq removed in 0.22
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kwargs.pop('freq', None) # freq removed in 0.23
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# how is a keyword that if not-None should be in kwds
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how = kwargs.pop('how', None)
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if how is not None:

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