removed versionadded <0.17 (pandas-dev#17504)

Author: topper-123

doc/source/whatsnew/v0.21.0.txt

@@ -526,4 +526,4 @@ Other
 ^^^^^
 - Bug in :func:`eval` where the ``inplace`` parameter was being incorrectly handled (:issue:`16732`)
 - Several ``NaT`` method docstrings (e.g. :func:`NaT.ctime`) were incorrect (:issue:`17327`)
-- The documentation has had references to versions < v0.16 removed and cleaned up (:issue:`17442`, :issue:`17442` & :issue:`#17404`)
+- The documentation has had references to versions < v0.17 removed and cleaned up (:issue:`17442`, :issue:`17442`, :issue:`17404` & :issue:`17504`)

pandas/core/frame.py

@@ -1479,8 +1479,6 @@ def to_csv(self, path_or_buf=None, sep=",", na_rep='', float_format=None,
             Character recognized as decimal separator. E.g. use ',' for
             European data
 
-            .. versionadded:: 0.16.0
-
         """
         formatter = fmt.CSVFormatter(self, path_or_buf,
                                      line_terminator=line_terminator, sep=sep,
@@ -2165,8 +2163,6 @@ def _getitem_frame(self, key):
     def query(self, expr, inplace=False, **kwargs):
         """Query the columns of a frame with a boolean expression.
 
-        .. versionadded:: 0.13
-
         Parameters
         ----------
         expr : string
@@ -2561,8 +2557,6 @@ def assign(self, **kwargs):
         Assign new columns to a DataFrame, returning a new object
         (a copy) with all the original columns in addition to the new ones.
 
-        .. versionadded:: 0.16.0
-
         Parameters
         ----------
         kwargs : keyword, value pairs

pandas/core/generic.py

@@ -2348,8 +2348,6 @@ def drop(self, labels, axis=0, level=None, inplace=False, errors='raise'):
         errors : {'ignore', 'raise'}, default 'raise'
             If 'ignore', suppress error and existing labels are dropped.
 
-            .. versionadded:: 0.16.1
-
         Returns
         -------
         dropped : type of caller
@@ -3070,8 +3068,6 @@ def sample(self, n=None, frac=None, replace=False, weights=None,
         """
         Returns a random sample of items from an axis of object.
 
-        .. versionadded:: 0.16.1
-
         Parameters
         ----------
         n : int, optional
@@ -3228,8 +3224,6 @@ def sample(self, n=None, frac=None, replace=False, weights=None,
     _shared_docs['pipe'] = ("""
         Apply func(self, \*args, \*\*kwargs)
 
-        .. versionadded:: 0.16.2
-
         Parameters
         ----------
         func : function

pandas/core/indexes/category.py

@@ -33,8 +33,6 @@ class CategoricalIndex(Index, base.PandasDelegate):
     Immutable Index implementing an ordered, sliceable set. CategoricalIndex
     represents a sparsely populated Index with an underlying Categorical.
 
-    .. versionadded:: 0.16.1
-
     Parameters
     ----------
     data : array-like or Categorical, (1-dimensional)

pandas/core/indexes/datetimes.py

@@ -1577,7 +1577,7 @@ def _set_freq(self, value):
     days_in_month = _field_accessor(
         'days_in_month',
         'dim',
-        "The number of days in the month\n\n.. versionadded:: 0.16.0")
+        "The number of days in the month")
     daysinmonth = days_in_month
     is_month_start = _field_accessor(
         'is_month_start',

pandas/core/reshape/reshape.py

@@ -1110,8 +1110,6 @@ def get_dummies(data, prefix=None, prefix_sep='_', dummy_na=False,
         Whether the dummy columns should be sparse or not.  Returns
         SparseDataFrame if `data` is a Series or if all columns are included.
         Otherwise returns a DataFrame with some SparseBlocks.
-
-        .. versionadded:: 0.16.1
     drop_first : bool, default False
         Whether to get k-1 dummies out of k categorical levels by removing the
         first level.

pandas/core/sparse/series.py

@@ -732,8 +732,6 @@ def to_coo(self, row_levels=(0, ), column_levels=(1, ), sort_labels=False):
         (labels) or numbers of the levels. {row_levels, column_levels} must be
         a partition of the MultiIndex level names (or numbers).
 
-        .. versionadded:: 0.16.0
-
         Parameters
         ----------
         row_levels : tuple/list
@@ -784,8 +782,6 @@ def from_coo(cls, A, dense_index=False):
         """
         Create a SparseSeries from a scipy.sparse.coo_matrix.
 
-        .. versionadded:: 0.16.0
-
         Parameters
         ----------
         A : scipy.sparse.coo_matrix

pandas/core/strings.py

@@ -602,8 +602,6 @@ def str_extract(arr, pat, flags=0, expand=None):
     For each subject string in the Series, extract groups from the
     first match of regular expression pat.
 
-    .. versionadded:: 0.13.0
-
     Parameters
     ----------
     pat : string
@@ -1016,7 +1014,6 @@ def str_split(arr, pat=None, n=None):
         * If True, return DataFrame/MultiIndex expanding dimensionality.
         * If False, return Series/Index.
 
-        .. versionadded:: 0.16.1
     return_type : deprecated, use `expand`
 
     Returns
@@ -1047,8 +1044,6 @@ def str_rsplit(arr, pat=None, n=None):
     string, starting at the end of the string and working to the front.
     Equivalent to :meth:`str.rsplit`.
 
-    .. versionadded:: 0.16.2
-
     Parameters
     ----------
     pat : string, default None