DOC: Remove 1.2 versionadded and changed (#56544)

phofl · web-flow · commit 22c7495b5241 · 2023-12-18T10:02:37.000-05:00
diff --git a/pandas/_testing/asserters.py b/pandas/_testing/asserters.py
@@ -209,8 +209,6 @@ def assert_index_equal(
         Whether to compare the order of index entries as well as their values.
         If True, both indexes must contain the same elements, in the same order.
         If False, both indexes must contain the same elements, but in any order.
-
-        .. versionadded:: 1.2.0
     rtol : float, default 1e-5
         Relative tolerance. Only used when check_exact is False.
     atol : float, default 1e-8
@@ -853,9 +851,6 @@ def assert_series_equal(
         Whether to check the `freq` attribute on a DatetimeIndex or TimedeltaIndex.
     check_flags : bool, default True
         Whether to check the `flags` attribute.
-
-        .. versionadded:: 1.2.0
-
     rtol : float, default 1e-5
         Relative tolerance. Only used when check_exact is False.
     atol : float, default 1e-8
diff --git a/pandas/core/arrays/floating.py b/pandas/core/arrays/floating.py
@@ -57,8 +57,6 @@ class FloatingArray(NumericArray):
     """
     Array of floating (optional missing) values.
 
-    .. versionadded:: 1.2.0
-
     .. warning::
 
        FloatingArray is currently experimental, and its API or internal
diff --git a/pandas/core/arrays/string_arrow.py b/pandas/core/arrays/string_arrow.py
@@ -82,8 +82,6 @@ class ArrowStringArray(ObjectStringArrayMixin, ArrowExtensionArray, BaseStringAr
     """
     Extension array for string data in a ``pyarrow.ChunkedArray``.
 
-    .. versionadded:: 1.2.0
-
     .. warning::
 
        ArrowStringArray is considered experimental. The implementation and
diff --git a/pandas/core/construction.py b/pandas/core/construction.py
@@ -127,12 +127,6 @@ def array(
         ``pd.options.mode.string_storage`` if the dtype is not explicitly given.
 
         For all other cases, NumPy's usual inference rules will be used.
-
-        .. versionchanged:: 1.2.0
-
-            Pandas now also infers nullable-floating dtype for float-like
-            input data
-
     copy : bool, default True
         Whether to copy the data, even if not necessary. Depending
         on the type of `data`, creating the new array may require
diff --git a/pandas/core/flags.py b/pandas/core/flags.py
@@ -11,8 +11,6 @@ class Flags:
     """
     Flags that apply to pandas objects.
 
-    .. versionadded:: 1.2.0
-
     Parameters
     ----------
     obj : Series or DataFrame
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
@@ -335,9 +335,6 @@
       join; preserve the order of the left keys.
     * cross: creates the cartesian product from both frames, preserves the order
       of the left keys.
-
-      .. versionadded:: 1.2.0
-
 on : label or list
     Column or index level names to join on. These must be found in both
     DataFrames. If `on` is None and not merging on indexes then this defaults
@@ -2780,8 +2777,6 @@ def to_stata(
 
         {storage_options}
 
-            .. versionadded:: 1.2.0
-
         value_labels : dict of dicts
             Dictionary containing columns as keys and dictionaries of column value
             to labels as values. Labels for a single variable must be 32,000
@@ -2994,11 +2989,6 @@ def to_parquet(
             object implementing a binary ``write()`` function. If None, the result is
             returned as bytes. If a string or path, it will be used as Root Directory
             path when writing a partitioned dataset.
-
-            .. versionchanged:: 1.2.0
-
-            Previously this was "fname"
-
         engine : {{'auto', 'pyarrow', 'fastparquet'}}, default 'auto'
             Parquet library to use. If 'auto', then the option
             ``io.parquet.engine`` is used. The default ``io.parquet.engine``
@@ -3021,8 +3011,6 @@ def to_parquet(
             Must be None if path is not a string.
         {storage_options}
 
-            .. versionadded:: 1.2.0
-
         **kwargs
             Additional arguments passed to the parquet library. See
             :ref:`pandas io <io.parquet>` for more details.
@@ -10565,9 +10553,6 @@ def join(
               of the calling's one.
             * cross: creates the cartesian product from both frames, preserves the order
               of the left keys.
-
-              .. versionadded:: 1.2.0
-
         lsuffix : str, default ''
             Suffix to use from left frame's overlapping columns.
         rsuffix : str, default ''
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
@@ -2522,8 +2522,6 @@ def to_json(
 
         {storage_options}
 
-            .. versionadded:: 1.2.0
-
         mode : str, default 'w' (writing)
             Specify the IO mode for output when supplying a path_or_buf.
             Accepted args are 'w' (writing) and 'a' (append) only.
@@ -3128,8 +3126,6 @@ def to_pickle(
 
         {storage_options}
 
-            .. versionadded:: 1.2.0
-
         See Also
         --------
         read_pickle : Load pickled pandas object (or any object) from file.
@@ -3417,9 +3413,6 @@ def to_latex(
         into a main LaTeX document or read from an external file
         with ``\input{{table.tex}}``.
 
-        .. versionchanged:: 1.2.0
-           Added position argument, changed meaning of caption argument.
-
         .. versionchanged:: 2.0.0
            Refactored to use the Styler implementation via jinja2 templating.
 
@@ -3510,10 +3503,6 @@ def to_latex(
             Tuple (full_caption, short_caption),
             which results in ``\caption[short_caption]{{full_caption}}``;
             if a single string is passed, no short caption will be set.
-
-            .. versionchanged:: 1.2.0
-               Optionally allow caption to be a tuple ``(full_caption, short_caption)``.
-
         label : str, optional
             The LaTeX label to be placed inside ``\label{{}}`` in the output.
             This is used with ``\ref{{}}`` in the main ``.tex`` file.
@@ -3522,8 +3511,6 @@ def to_latex(
             The LaTeX positional argument for tables, to be placed after
             ``\begin{{}}`` in the output.
 
-            .. versionadded:: 1.2.0
-
         Returns
         -------
         str or None
@@ -3844,11 +3831,6 @@ def to_csv(
             returned as a string. If a non-binary file object is passed, it should
             be opened with `newline=''`, disabling universal newlines. If a binary
             file object is passed, `mode` might need to contain a `'b'`.
-
-            .. versionchanged:: 1.2.0
-
-               Support for binary file objects was introduced.
-
         sep : str, default ','
             String of length 1. Field delimiter for the output file.
         na_rep : str, default ''
@@ -3889,17 +3871,6 @@ def to_csv(
 
                Passing compression options as keys in dict is
                supported for compression modes 'gzip', 'bz2', 'zstd', and 'zip'.
-
-            .. versionchanged:: 1.2.0
-
-                Compression is supported for binary file objects.
-
-            .. versionchanged:: 1.2.0
-
-                Previous versions forwarded dict entries for 'gzip' to
-                `gzip.open` instead of `gzip.GzipFile` which prevented
-                setting `mtime`.
-
         quoting : optional constant from csv module
             Defaults to csv.QUOTE_MINIMAL. If you have set a `float_format`
             then floats are converted to strings and thus csv.QUOTE_NONNUMERIC
@@ -3935,8 +3906,6 @@ def to_csv(
 
         {storage_options}
 
-            .. versionadded:: 1.2.0
-
         Returns
         -------
         None or str
@@ -6941,8 +6910,6 @@ def convert_dtypes(
             Whether, if possible, conversion can be done to floating extension types.
             If `convert_integer` is also True, preference will be give to integer
             dtypes if the floats can be faithfully casted to integers.
-
-            .. versionadded:: 1.2.0
         dtype_backend : {'numpy_nullable', 'pyarrow'}, default 'numpy_nullable'
             Back-end data type applied to the resultant :class:`DataFrame`
             (still experimental). Behaviour is as follows:
@@ -6986,10 +6953,6 @@ def convert_dtypes(
         appropriate integer extension type. Otherwise, convert to an
         appropriate floating extension type.
 
-        .. versionchanged:: 1.2
-            Starting with pandas 1.2, this method also converts float columns
-            to the nullable floating extension type.
-
         In the future, as new dtypes are added that support ``pd.NA``, the results
         of this method will change to support those new dtypes.
 
diff --git a/pandas/core/groupby/grouper.py b/pandas/core/groupby/grouper.py
@@ -119,8 +119,6 @@ class Grouper:
         row/column will be dropped. If False, NA values will also be treated as
         the key in groups.
 
-        .. versionadded:: 1.2.0
-
     Returns
     -------
     Grouper or pandas.api.typing.TimeGrouper
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
@@ -5814,9 +5814,6 @@ def sort_values(
         na_position : {'first' or 'last'}, default 'last'
             Argument 'first' puts NaNs at the beginning, 'last' puts NaNs at
             the end.
-
-            .. versionadded:: 1.2.0
-
         key : callable, optional
             If not None, apply the key function to the index values
             before sorting. This is similar to the `key` argument in the
diff --git a/pandas/core/series.py b/pandas/core/series.py
@@ -1920,8 +1920,6 @@ def to_markdown(
 
         {storage_options}
 
-            .. versionadded:: 1.2.0
-
         **kwargs
             These parameters will be passed to `tabulate \
                 <https://pypi.org/project/tabulate>`_.
diff --git a/pandas/core/window/rolling.py b/pandas/core/window/rolling.py
@@ -957,10 +957,6 @@ class Window(BaseWindow):
 
         Default ``None`` (``'right'``).
 
-        .. versionchanged:: 1.2.0
-
-            The closed parameter with fixed windows is now supported.
-
     step : int, default None
 
         .. versionadded:: 1.5.0
diff --git a/pandas/errors/__init__.py b/pandas/errors/__init__.py
@@ -329,8 +329,6 @@ class DuplicateLabelError(ValueError):
     """
     Error raised when an operation would introduce duplicate labels.
 
-    .. versionadded:: 1.2.0
-
     Examples
     --------
     >>> s = pd.Series([0, 1, 2], index=['a', 'b', 'c']).set_flags(
diff --git a/pandas/io/common.py b/pandas/io/common.py
@@ -329,11 +329,8 @@ def _get_filepath_or_buffer(
 
     {storage_options}
 
-        .. versionadded:: 1.2.0
 
-    ..versionchange:: 1.2.0
-
-      Returns the dataclass IOArgs.
+    Returns the dataclass IOArgs.
     """
     filepath_or_buffer = stringify_path(filepath_or_buffer)
 
@@ -711,8 +708,6 @@ def get_handle(
     storage_options: StorageOptions = None
         Passed to _get_filepath_or_buffer
 
-    .. versionchanged:: 1.2.0
-
     Returns the dataclass IOHandles
     """
     # Windows does not default to utf-8. Set to utf-8 for a consistent behavior
diff --git a/pandas/io/excel/_base.py b/pandas/io/excel/_base.py
@@ -292,8 +292,6 @@
     Rows at the end to skip (0-indexed).
 {storage_options}
 
-    .. versionadded:: 1.2.0
-
 dtype_backend : {{'numpy_nullable', 'pyarrow'}}, default 'numpy_nullable'
     Back-end data type applied to the resultant :class:`DataFrame`
     (still experimental). Behaviour is as follows:
@@ -971,8 +969,6 @@ class ExcelWriter(Generic[_WorkbookT]):
         File mode to use (write or append). Append does not work with fsspec URLs.
     {storage_options}
 
-        .. versionadded:: 1.2.0
-
     if_sheet_exists : {{'error', 'new', 'replace', 'overlay'}}, default 'error'
         How to behave when trying to write to a sheet that already
         exists (append mode only).
diff --git a/pandas/io/feather_format.py b/pandas/io/feather_format.py
@@ -50,9 +50,6 @@ def to_feather(
     df : DataFrame
     path : str, path object, or file-like object
     {storage_options}
-
-        .. versionadded:: 1.2.0
-
     **kwargs :
         Additional keywords passed to `pyarrow.feather.write_feather`.
 
@@ -93,8 +90,6 @@ def read_feather(
         Whether to parallelize reading using multiple threads.
     {storage_options}
 
-        .. versionadded:: 1.2.0
-
     dtype_backend : {{'numpy_nullable', 'pyarrow'}}, default 'numpy_nullable'
         Back-end data type applied to the resultant :class:`DataFrame`
         (still experimental). Behaviour is as follows:
diff --git a/pandas/io/formats/excel.py b/pandas/io/formats/excel.py
@@ -921,7 +921,6 @@ def write(
 
         {storage_options}
 
-            .. versionadded:: 1.2.0
         engine_kwargs: dict, optional
             Arbitrary keyword arguments passed to excel engine.
         """
diff --git a/pandas/io/formats/format.py b/pandas/io/formats/format.py
@@ -132,9 +132,6 @@
             floats. This function must return a unicode string and will be
             applied only to the non-``NaN`` elements, with ``NaN`` being
             handled by ``na_rep``.
-
-            .. versionchanged:: 1.2.0
-
         sparsify : bool, optional, default True
             Set to False for a DataFrame with a hierarchical index to print
             every multiindex key at each row.
diff --git a/pandas/io/formats/style.py b/pandas/io/formats/style.py
@@ -161,9 +161,6 @@ class Styler(StylerRenderer):
     uuid_len : int, default 5
         If ``uuid`` is not specified, the length of the ``uuid`` to randomly generate
         expressed in hex characters, in range [0, 32].
-
-        .. versionadded:: 1.2.0
-
     decimal : str, optional
         Character used as decimal separator for floats, complex and integers. If not
         given uses ``pandas.options.styler.format.decimal``.
@@ -2517,23 +2514,14 @@ def set_table_styles(
             in their respective tuple form. The dict values should be
             a list as specified in the form with CSS selectors and
             props that will be applied to the specified row or column.
-
-            .. versionchanged:: 1.2.0
-
         axis : {0 or 'index', 1 or 'columns', None}, default 0
             Apply to each column (``axis=0`` or ``'index'``), to each row
             (``axis=1`` or ``'columns'``). Only used if `table_styles` is
             dict.
-
-            .. versionadded:: 1.2.0
-
         overwrite : bool, default True
             Styles are replaced if `True`, or extended if `False`. CSS
             rules are preserved so most recent styles set will dominate
             if selectors intersect.
-
-            .. versionadded:: 1.2.0
-
         css_class_names : dict, optional
             A dict of strings used to replace the default CSS classes described below.
 
diff --git a/pandas/io/json/_json.py b/pandas/io/json/_json.py
@@ -648,11 +648,6 @@ def read_json(
         for more information on ``chunksize``.
         This can only be passed if `lines=True`.
         If this is None, the file will be read into memory all at once.
-
-        .. versionchanged:: 1.2
-
-           ``JsonReader`` is a context manager.
-
     {decompression_options}
 
         .. versionchanged:: 1.4.0 Zstandard support.
@@ -664,8 +659,6 @@ def read_json(
 
     {storage_options}
 
-        .. versionadded:: 1.2.0
-
     dtype_backend : {{'numpy_nullable', 'pyarrow'}}, default 'numpy_nullable'
         Back-end data type applied to the resultant :class:`DataFrame`
         (still experimental). Behaviour is as follows:
diff --git a/pandas/io/parquet.py b/pandas/io/parquet.py
diff --git a/pandas/io/parsers/readers.py b/pandas/io/parsers/readers.py
diff --git a/pandas/io/pickle.py b/pandas/io/pickle.py
diff --git a/pandas/io/sas/sasreader.py b/pandas/io/sas/sasreader.py
diff --git a/pandas/io/sql.py b/pandas/io/sql.py
diff --git a/pandas/io/stata.py b/pandas/io/stata.py
diff --git a/pandas/plotting/_core.py b/pandas/plotting/_core.py
