DOC: Remove versionadded/changed for 1.1.0 (pandas-dev#52905)

* DOC: Remove versionadded/changed for 1.1.0

* Update contributing_codebase.rst

* Remove double line break

* Fix

Author: phofl

doc/source/development/contributing_codebase.rst

@@ -959,9 +959,9 @@ directive is used. The sphinx syntax for that is:
 
 .. code-block:: rst
 
-  .. versionadded:: 1.1.0
+    .. versionadded:: 2.1.0
 
-This will put the text *New in version 1.1.0* wherever you put the sphinx
+This will put the text *New in version 2.1.0* wherever you put the sphinx
 directive. This should also be put in the docstring when adding a new function
 or method (`example <https://github.com/pandas-dev/pandas/blob/v0.20.2/pandas/core/frame.py#L1495>`__)
 or a new keyword argument (`example <https://github.com/pandas-dev/pandas/blob/v0.20.2/pandas/core/generic.py#L568>`__).

doc/source/user_guide/basics.rst

@@ -686,8 +686,6 @@ of a 1D array of values. It can also be used as a function on regular arrays:
    s.value_counts()
    pd.value_counts(data)
 
-.. versionadded:: 1.1.0
-
 The :meth:`~DataFrame.value_counts` method can be used to count combinations across multiple columns.
 By default all columns are used but a subset can be selected using the ``subset`` argument.
 
@@ -1812,8 +1810,6 @@ used to sort a pandas object by its index levels.
 
 .. _basics.sort_index_key:
 
-.. versionadded:: 1.1.0
-
 Sorting by index also supports a ``key`` parameter that takes a callable
 function to apply to the index being sorted. For ``MultiIndex`` objects,
 the key is applied per-level to the levels specified by ``level``.
@@ -1867,8 +1863,6 @@ argument:
 
 .. _basics.sort_value_key:
 
-.. versionadded:: 1.1.0
-
 Sorting also supports a ``key`` parameter that takes a callable function
 to apply to the values being sorted.
 

doc/source/user_guide/boolean.rst

@@ -24,8 +24,6 @@ Indexing with NA values
 
 pandas allows indexing with ``NA`` values in a boolean array, which are treated as ``False``.
 
-.. versionchanged:: 1.0.2
-
 .. ipython:: python
    :okexcept:
 

doc/source/user_guide/dsintro.rst

@@ -413,8 +413,6 @@ first ``namedtuple``, a ``ValueError`` is raised.
 From a list of dataclasses
 ~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. versionadded:: 1.1.0
-
 Data Classes as introduced in `PEP557 <https://www.python.org/dev/peps/pep-0557>`__,
 can be passed into the DataFrame constructor.
 Passing a list of dataclasses is equivalent to passing a list of dictionaries.

doc/source/user_guide/groupby.rst

@@ -218,8 +218,6 @@ For example, the groups created by ``groupby()`` below are in the order they app
 
 .. _groupby.dropna:
 
-.. versionadded:: 1.1.0
-
 GroupBy dropna
 ^^^^^^^^^^^^^^
 

doc/source/user_guide/indexing.rst

@@ -371,8 +371,6 @@ For getting values with a boolean array:
 
 NA values in a boolean array propagate as ``False``:
 
-.. versionchanged:: 1.0.2
-
 .. ipython:: python
 
    mask = pd.array([True, False, True, False, pd.NA, False], dtype="boolean")

doc/source/user_guide/io.rst

@@ -335,7 +335,6 @@ compression : {``'infer'``, ``'gzip'``, ``'bz2'``, ``'zip'``, ``'xz'``, ``'zstd'
   create a reproducible gzip archive:
   ``compression={'method': 'gzip', 'compresslevel': 1, 'mtime': 1}``.
 
-  .. versionchanged:: 1.1.0 dict option extended to support ``gzip`` and ``bz2``.
   .. versionchanged:: 1.2.0 Previous versions forwarded dict entries for 'gzip' to ``gzip.open``.
 thousands : str, default ``None``
   Thousands separator.
@@ -3890,8 +3889,6 @@ The :func:`~pandas.read_excel` method can read OpenDocument spreadsheets
    # Returns a DataFrame
    pd.read_excel("path_to_file.ods", engine="odf")
 
-.. versionadded:: 1.1.0
-
 Similarly, the :func:`~pandas.to_excel` method can write OpenDocument spreadsheets
 
 .. code-block:: python

doc/source/user_guide/reshaping.rst

@@ -298,8 +298,6 @@ For instance,
 
 When transforming a DataFrame using :func:`~pandas.melt`, the index will be ignored. The original index values can be kept around by setting the ``ignore_index`` parameter to ``False`` (default is ``True``). This will however duplicate them.
 
-.. versionadded:: 1.1.0
-
 .. ipython:: python
 
    index = pd.MultiIndex.from_tuples([("person", "A"), ("person", "B")])

doc/source/user_guide/text.rst

@@ -62,8 +62,6 @@ Or ``astype`` after the ``Series`` or ``DataFrame`` is created
    s.astype("string")
 
 
-.. versionchanged:: 1.1.0
-
 You can also use :class:`StringDtype`/``"string"`` as the dtype on non-string data and
 it will be converted to ``string`` dtype:
 
@@ -666,8 +664,6 @@ Or whether elements match a pattern:
        dtype="string",
    ).str.match(pattern)
 
-.. versionadded:: 1.1.0
-
 .. ipython:: python
 
    pd.Series(

doc/source/user_guide/timeseries.rst

@@ -822,8 +822,6 @@ Furthermore, if you have a ``Series`` with datetimelike values, then you can
 access these properties via the ``.dt`` accessor, as detailed in the section
 on :ref:`.dt accessors<basics.dt_accessors>`.
 
-.. versionadded:: 1.1.0
-
 You may obtain the year, week and day components of the ISO year from the ISO 8601 standard:
 
 .. ipython:: python
@@ -1870,8 +1868,6 @@ See :ref:`groupby.iterating-label` or :class:`Resampler.__iter__` for more.
 Use ``origin`` or ``offset`` to adjust the start of the bins
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. versionadded:: 1.1.0
-
 The bins of the grouping are adjusted based on the beginning of the day of the time series starting point. This works well with frequencies that are multiples of a day (like ``30D``) or that divide a day evenly (like ``90s`` or ``1min``). This can create inconsistencies with some frequencies that do not meet this criteria. To change this behavior you can specify a fixed Timestamp with the argument ``origin``.
 
 For example:
@@ -2117,8 +2113,6 @@ PeriodIndex partial string indexing
 
 PeriodIndex now supports partial string slicing with non-monotonic indexes.
 
-.. versionadded:: 1.1.0
-
 You can pass in dates and strings to ``Series`` and ``DataFrame`` with ``PeriodIndex``, in the same manner as ``DatetimeIndex``. For details, refer to :ref:`DatetimeIndex Partial String Indexing <timeseries.partialindexing>`.
 
 .. ipython:: python
@@ -2491,8 +2485,6 @@ To remove time zone information, use ``tz_localize(None)`` or ``tz_convert(None)
 Fold
 ~~~~
 
-.. versionadded:: 1.1.0
-
 For ambiguous times, pandas supports explicitly specifying the keyword-only fold argument.
 Due to daylight saving time, one wall clock time can occur twice when shifting
 from summer to winter time; fold describes whether the datetime-like corresponds