Remove ..versionadded before 2.0

Author: mroeschke

pandas/_testing/asserters.py

@@ -931,14 +931,10 @@ def assert_series_equal(
         assertion message.
     check_index : bool, default True
         Whether to check index equivalence. If False, then compare only values.
-
-        .. versionadded:: 1.3.0
     check_like : bool, default False
         If True, ignore the order of the index. Must be False if check_index is False.
         Note: same labels must be with the same data.
 
-        .. versionadded:: 1.5.0
-
     See Also
     --------
     testing.assert_index_equal : Check that two Indexes are equal.

pandas/core/algorithms.py

@@ -698,7 +698,6 @@ def factorize(
         NaN values will be encoded as non-negative integers and will not drop the
         NaN from the uniques of the values.
 
-        .. versionadded:: 1.5.0
     {size_hint}\
 
     Returns

pandas/core/arrays/base.py

@@ -1574,8 +1574,6 @@ def factorize(
             NaN values will be encoded as non-negative integers and will not drop the
             NaN from the uniques of the values.
 
-            .. versionadded:: 1.5.0
-
         Returns
         -------
         codes : ndarray

pandas/core/common.py

@@ -639,8 +639,6 @@ def fill_missing_names(names: Sequence[Hashable | None]) -> list[Hashable]:
     """
     If a name is missing then replace it by level_n, where n is the count
 
-    .. versionadded:: 1.4.0
-
     Parameters
     ----------
     names : list-like

pandas/core/frame.py

@@ -1843,9 +1843,7 @@ def from_dict(
             (default). Otherwise if the keys should be rows, pass 'index'.
             If 'tight', assume a dict with keys ['index', 'columns', 'data',
             'index_names', 'column_names'].
-
-            .. versionadded:: 1.4.0
-               'tight' as an allowed value for the ``orient`` argument
+            'tight' as an allowed value for the ``orient`` argument
 
         dtype : dtype, default None
             Data type to force after DataFrame construction, otherwise infer.
@@ -2084,9 +2082,7 @@ def to_dict(
             - 'records' : list like
               [{column -> value}, ... , {column -> value}]
             - 'index' : dict like {index -> {column -> value}}
-
-            .. versionadded:: 1.4.0
-                'tight' as an allowed value for the ``orient`` argument
+            'tight' as an allowed value for the ``orient`` argument
 
         into : class, default dict
             The collections.abc.MutableMapping subclass used for all Mappings
@@ -2680,8 +2676,6 @@ def to_stata(
             to labels as values. Labels for a single variable must be 32,000
             characters or smaller.
 
-            .. versionadded:: 1.4.0
-
         Raises
         ------
         NotImplementedError
@@ -3088,8 +3082,6 @@ def to_orc(
         """
         Write a DataFrame to the Optimized Row Columnar (ORC) format.
 
-        .. versionadded:: 1.5.0
-
         Parameters
         ----------
         path : str, file-like object or None, default None
@@ -3463,8 +3455,6 @@ def to_xml(
         """
         Render a DataFrame to an XML document.
 
-        .. versionadded:: 1.3.0
-
         Parameters
         ----------
         path_or_buffer : str, path object, file-like object, or None, default None
@@ -6522,16 +6512,11 @@ def reset_index(
             levels are named. If None then the index name is repeated.
         allow_duplicates : bool, optional, default lib.no_default
             Allow duplicate column labels to be created.
-
-            .. versionadded:: 1.5.0
-
         names : int, str or 1-dimensional list, default None
             Using the given string, rename the DataFrame column which contains the
             index data. If the DataFrame has a MultiIndex, this has to be a list
             with length equal to the number of levels.
 
-            .. versionadded:: 1.5.0
-
         Returns
         -------
         DataFrame or None
@@ -7709,8 +7694,6 @@ def value_counts(
         dropna : bool, default True
             Do not include counts of rows that contain NA values.
 
-            .. versionadded:: 1.3.0
-
         Returns
         -------
         Series
@@ -9846,9 +9829,6 @@ def pivot(
 
         sort : bool, default True
             Specifies if the result should be sorted.
-
-            .. versionadded:: 1.3.0
-
         **kwargs : dict
             Optional keyword arguments to pass to ``aggfunc``.
 
@@ -10202,9 +10182,6 @@ def explode(
             be str or tuple, and all specified columns their list-like data
             on same row of the frame must have matching length.
 
-            .. versionadded:: 1.3.0
-                Multi-column explode
-
         ignore_index : bool, default False
             If True, the resulting index will be labeled 0, 1, …, n - 1.
 
@@ -10820,8 +10797,6 @@ def apply(
             ``by_row=False`` (backward compatible).
             If False, the funcs will be passed the whole Series at once.
 
-            .. versionadded:: 2.1.0
-
         engine : decorator or {'python', 'numba'}, optional
             Choose the execution engine to use. If not provided the function
             will be executed by the regular Python interpreter.
@@ -11236,8 +11211,6 @@ def join(
             * "many_to_one" or "m:1": check if join keys are unique in right dataset.
             * "many_to_many" or "m:m": allowed, but does not result in checks.
 
-            .. versionadded:: 1.5.0
-
         Returns
         -------
         DataFrame
@@ -11626,8 +11599,6 @@ def corr(
         numeric_only : bool, default False
             Include only `float`, `int` or `boolean` data.
 
-            .. versionadded:: 1.5.0
-
             .. versionchanged:: 2.0.0
                 The default value of ``numeric_only`` is now ``False``.
 
@@ -11753,8 +11724,6 @@ def cov(
         numeric_only : bool, default False
             Include only `float`, `int` or `boolean` data.
 
-            .. versionadded:: 1.5.0
-
             .. versionchanged:: 2.0.0
                 The default value of ``numeric_only`` is now ``False``.
 
@@ -11893,8 +11862,6 @@ def corrwith(
         min_periods : int, optional
             Minimum number of observations needed to have a valid result.
 
-            .. versionadded:: 1.5.0
-
             .. versionchanged:: 2.0.0
                 The default value of ``numeric_only`` is now ``False``.
 
@@ -13414,8 +13381,6 @@ def idxmin(
         numeric_only : bool, default False
             Include only `float`, `int` or `boolean` data.
 
-            .. versionadded:: 1.5.0
-
         Returns
         -------
         Series
@@ -13519,8 +13484,6 @@ def idxmax(
         numeric_only : bool, default False
             Include only `float`, `int` or `boolean` data.
 
-            .. versionadded:: 1.5.0
-
         Returns
         -------
         Series

pandas/core/generic.py

@@ -2151,7 +2151,6 @@ def _repr_data_resource_(self):
     @doc(
         klass="object",
         storage_options=_shared_docs["storage_options"],
-        storage_options_versionadded="1.2.0",
         encoding_parameter="",
         verbose_parameter="",
         extra_parameters=textwrap.dedent(
@@ -2237,8 +2236,6 @@ def to_excel(
             Specifies the one-based bottommost row and rightmost column that
             is to be frozen.
         {storage_options}
-
-            .. versionadded:: {storage_options_versionadded}
         {extra_parameters}
         See Also
         --------
@@ -2878,8 +2875,6 @@ def to_sql(
             `sqlite3 <https://docs.python.org/3/library/sqlite3.html#sqlite3.Cursor.rowcount>`__ or
             `SQLAlchemy <https://docs.sqlalchemy.org/en/20/core/connections.html#sqlalchemy.engine.CursorResult.rowcount>`__.
 
-            .. versionadded:: 1.4.0
-
         Raises
         ------
         ValueError
@@ -5859,19 +5854,12 @@ def sample(
             If int, array-like, or BitGenerator, seed for random number generator.
             If np.random.RandomState or np.random.Generator, use as given.
             Default ``None`` results in sampling with the current state of np.random.
-
-            .. versionchanged:: 1.4.0
-
-                np.random.Generator objects now accepted
-
         axis : {0 or 'index', 1 or 'columns', None}, default None
             Axis to sample. Accepts axis number or name. Default is stat axis
             for given data type. For `Series` this parameter is unused and defaults to `None`.
         ignore_index : bool, default False
             If True, the resulting index will be labeled 0, 1, …, n - 1.
 
-            .. versionadded:: 1.3.0
-
         Returns
         -------
         Series or DataFrame
@@ -8967,8 +8955,6 @@ def resample(
             - 'end': `origin` is the last value of the timeseries
             - 'end_day': `origin` is the ceiling midnight of the last day
 
-            .. versionadded:: 1.3.0
-
             .. note::
 
                 Only takes effect for Tick-frequencies (i.e. fixed frequencies like
@@ -8980,12 +8966,6 @@ def resample(
             Whether to include the group keys in the result index when using
             ``.apply()`` on the resampled object.
 
-            .. versionadded:: 1.5.0
-
-                Not specifying ``group_keys`` will retain values-dependent behavior
-                from pandas 1.4 and earlier (see :ref:`pandas 1.5.0 Release notes
-                <whatsnew_150.enhancements.resample_group_keys>` for examples).
-
             .. versionchanged:: 2.0.0
 
                 ``group_keys`` now defaults to ``False``.

pandas/core/groupby/generic.py

@@ -889,8 +889,6 @@ def value_counts(
         """
         Return a Series or DataFrame containing counts of unique rows.
 
-        .. versionadded:: 1.4.0
-
         Parameters
         ----------
         normalize : bool, default False
@@ -2606,8 +2604,6 @@ def idxmax(
         numeric_only : bool, default False
             Include only `float`, `int` or `boolean` data.
 
-            .. versionadded:: 1.5.0
-
         Returns
         -------
         DataFrame
@@ -2680,8 +2676,6 @@ def idxmin(
         numeric_only : bool, default False
             Include only `float`, `int` or `boolean` data.
 
-            .. versionadded:: 1.5.0
-
         Returns
         -------
         DataFrame
@@ -2752,8 +2746,6 @@ def value_counts(
         """
         Return a Series or DataFrame containing counts of unique rows.
 
-        .. versionadded:: 1.4.0
-
         Parameters
         ----------
         subset : list-like, optional
@@ -3329,8 +3321,6 @@ def corrwith(
         numeric_only : bool, default False
             Include only `float`, `int` or `boolean` data.
 
-            .. versionadded:: 1.5.0
-
             .. versionchanged:: 2.0.0
                 The default value of ``numeric_only`` is now ``False``.
 

pandas/core/groupby/groupby.py

@@ -2195,17 +2195,13 @@ def mean(
             * ``None`` : Defaults to ``'cython'`` or globally setting
               ``compute.use_numba``
 
-            .. versionadded:: 1.4.0
-
         engine_kwargs : dict, default None
             * For ``'cython'`` engine, there are no accepted ``engine_kwargs``
             * For ``'numba'`` engine, the engine can accept ``nopython``, ``nogil``
               and ``parallel`` dictionary keys. The values must either be ``True`` or
               ``False``. The default ``engine_kwargs`` for the ``'numba'`` engine is
               ``{{'nopython': True, 'nogil': False, 'parallel': False}}``
 
-            .. versionadded:: 1.4.0
-
         Returns
         -------
         pandas.Series or pandas.DataFrame
@@ -2397,22 +2393,16 @@ def std(
             * ``None`` : Defaults to ``'cython'`` or globally setting
               ``compute.use_numba``
 
-            .. versionadded:: 1.4.0
-
         engine_kwargs : dict, default None
             * For ``'cython'`` engine, there are no accepted ``engine_kwargs``
             * For ``'numba'`` engine, the engine can accept ``nopython``, ``nogil``
               and ``parallel`` dictionary keys. The values must either be ``True`` or
               ``False``. The default ``engine_kwargs`` for the ``'numba'`` engine is
               ``{{'nopython': True, 'nogil': False, 'parallel': False}}``
 
-            .. versionadded:: 1.4.0
-
         numeric_only : bool, default False
             Include only `float`, `int` or `boolean` data.
 
-            .. versionadded:: 1.5.0
-
             .. versionchanged:: 2.0.0
 
                 numeric_only now defaults to ``False``.
@@ -2515,22 +2505,16 @@ def var(
             * ``None`` : Defaults to ``'cython'`` or globally setting
               ``compute.use_numba``
 
-            .. versionadded:: 1.4.0
-
         engine_kwargs : dict, default None
             * For ``'cython'`` engine, there are no accepted ``engine_kwargs``
             * For ``'numba'`` engine, the engine can accept ``nopython``, ``nogil``
               and ``parallel`` dictionary keys. The values must either be ``True`` or
               ``False``. The default ``engine_kwargs`` for the ``'numba'`` engine is
               ``{{'nopython': True, 'nogil': False, 'parallel': False}}``
 
-            .. versionadded:: 1.4.0
-
         numeric_only : bool, default False
             Include only `float`, `int` or `boolean` data.
 
-            .. versionadded:: 1.5.0
-
             .. versionchanged:: 2.0.0
 
                 numeric_only now defaults to ``False``.
@@ -2746,8 +2730,6 @@ def sem(
         numeric_only : bool, default False
             Include only `float`, `int` or `boolean` data.
 
-            .. versionadded:: 1.5.0
-
             .. versionchanged:: 2.0.0
 
                 numeric_only now defaults to ``False``.
@@ -4400,8 +4382,6 @@ def quantile(
         numeric_only : bool, default False
             Include only `float`, `int` or `boolean` data.
 
-            .. versionadded:: 1.5.0
-
             .. versionchanged:: 2.0.0
 
                 numeric_only now defaults to ``False``.