Rt05 documentation error fix issue 25108

pandas/core/algorithms.py

@@ -291,7 +291,7 @@ def unique(values):
     unique values.
       If the input is an Index, the return is an Index
       If the input is a Categorical dtype, the return is a Categorical
-      If the input is a Series/ndarray, the return will be an ndarray
+      If the input is a Series/ndarray, the return will be an ndarray.
 
     See Also
     --------

pandas/core/arrays/categorical.py

@@ -1292,7 +1292,7 @@ def __array__(self, dtype=None):
         values : numpy array
             A numpy array of either the specified dtype or,
             if dtype==None (default), the same dtype as
-            categorical.categories.dtype
+            categorical.categories.dtype.
         """
         ret = take_1d(self.categories.values, self._codes)
         if dtype and not is_dtype_equal(dtype, self.categories.dtype):

pandas/core/arrays/datetimelike.py

@@ -154,7 +154,7 @@ def strftime(self, date_format):
         Returns
         -------
         Index
-            Index of formatted strings
+            Index of formatted strings.
 
         See Also
         --------

pandas/core/frame.py

@@ -2743,7 +2743,7 @@ def set_value(self, index, col, value, takeable=False):
         -------
         frame : DataFrame
             If label pair is contained, will be reference to calling DataFrame,
-            otherwise a new object
+            otherwise a new object.
         """
         warnings.warn("set_value is deprecated and will be removed "
                       "in a future release. Please use "

pandas/core/generic.py

@@ -4953,7 +4953,7 @@ def pipe(self, func, *args, **kwargs):
         If DataFrame.agg is called with a single function, returns a Series
         If DataFrame.agg is called with several functions, returns a DataFrame
         If Series.agg is called with single function, returns a scalar
-        If Series.agg is called with several functions, returns a Series
+        If Series.agg is called with several functions, returns a Series.
 
     %(see_also)s
 
@@ -5349,7 +5349,7 @@ def get_values(self):
         Returns
         -------
         numpy.ndarray
-            Numpy representation of DataFrame
+            Numpy representation of DataFrame.
 
         See Also
         --------
@@ -5428,7 +5428,7 @@ def get_ftype_counts(self):
         -------
         dtype : Series
             Series with the count of columns with each type and
-            sparsity (dense/sparse)
+            sparsity (dense/sparse).
 
         See Also
         --------
@@ -6657,7 +6657,7 @@ def replace(self, to_replace=None, value=None, inplace=False, limit=None,
         -------
         Series or DataFrame
             Returns the same object type as the caller, interpolated at
-            some or all ``NaN`` values
+            some or all ``NaN`` values.
 
         See Also
         --------
@@ -6877,11 +6877,11 @@ def asof(self, where, subset=None):
         -------
         scalar, Series, or DataFrame
 
-           Scalar : when `self` is a Series and `where` is a scalar
+           Scalar : when `self` is a Series and `where` is a scalar.
            Series: when `self` is a Series and `where` is an array-like,
-             or when `self` is a DataFrame and `where` is a scalar
+             or when `self` is a DataFrame and `where` is a scalar.
            DataFrame : when `self` is a DataFrame and `where` is an
-             array-like
+             array-like.
 
         See Also
         --------
@@ -7235,7 +7235,7 @@ def clip(self, lower=None, upper=None, axis=None, inplace=False,
         -------
         Series or DataFrame
             Same type as calling object with the values outside the
-            clip boundaries replaced
+            clip boundaries replaced.
 
         Examples
         --------
@@ -8386,7 +8386,7 @@ def ranker(data):
         Returns
         -------
         (left, right) : (%(klass)s, type of other)
-            Aligned objects
+            Aligned objects.
         """)
 
     @Appender(_shared_docs['align'] % _shared_doc_kwargs)

pandas/core/indexes/base.py

@@ -1828,7 +1828,7 @@ def isna(self):
         Returns
         -------
         numpy.ndarray
-            A boolean array of whether my values are NA
+            A boolean array of whether my values are NA.
 
         See Also
         --------
@@ -3098,9 +3098,9 @@ def reindex(self, target, method=None, level=None, limit=None,
         Returns
         -------
         new_index : pd.Index
-            Resulting index
+            Resulting index.
         indexer : np.ndarray or None
-            Indices of output values in original index
+            Indices of output values in original index.
 
         """
         # GH6552: preserve names when reindexing to non-named target
@@ -4259,7 +4259,7 @@ def shift(self, periods=1, freq=None):
         Returns
         -------
         pandas.Index
-            Shifted index
+            Shifted index.
 
         See Also
         --------
@@ -4422,7 +4422,7 @@ def set_value(self, arr, key, value):
             in the target are marked by -1.
         missing : ndarray of int
             An indexer into the target of the values not found.
-            These correspond to the -1 in the indexer array
+            These correspond to the -1 in the indexer array.
         """
 
     @Appender(_index_shared_docs['get_indexer_non_unique'] % _index_doc_kwargs)

pandas/core/indexes/multi.py

@@ -1956,7 +1956,7 @@ def swaplevel(self, i=-2, j=-1):
         Returns
         -------
         MultiIndex
-            A new MultiIndex
+            A new MultiIndex.
 
         .. versionchanged:: 0.18.1
 
@@ -2053,9 +2053,9 @@ def sortlevel(self, level=0, ascending=True, sort_remaining=True):
         Returns
         -------
         sorted_index : pd.MultiIndex
-            Resulting index
+            Resulting index.
         indexer : np.ndarray
-            Indices of output values in original index
+            Indices of output values in original index.
         """
         from pandas.core.sorting import indexer_from_factorized
 

pandas/core/panel.py

@@ -540,7 +540,7 @@ def set_value(self, *args, **kwargs):
         -------
         panel : Panel
             If label combo is contained, will be reference to calling Panel,
-            otherwise a new object
+            otherwise a new object.
         """
         warnings.warn("set_value is deprecated and will be removed "
                       "in a future release. Please use "
@@ -803,7 +803,7 @@ def major_xs(self, key):
         Returns
         -------
         y : DataFrame
-            Index -> minor axis, columns -> items
+            Index -> minor axis, columns -> items.
 
         Notes
         -----
@@ -827,7 +827,7 @@ def minor_xs(self, key):
         Returns
         -------
         y : DataFrame
-            Index -> major axis, columns -> items
+            Index -> major axis, columns -> items.
 
         Notes
         -----

pandas/core/reshape/melt.py

@@ -230,7 +230,7 @@ def wide_to_long(df, stubnames, i, j, sep="", suffix=r'\d+'):
     -------
     DataFrame
         A DataFrame that contains each stub name as a variable, with new index
-        (i, j)
+        (i, j).
 
     Notes
     -----

pandas/core/series.py

@@ -1215,7 +1215,7 @@ def set_value(self, label, value, takeable=False):
         -------
         Series
             If label is contained, will be reference to calling Series,
-            otherwise a new object
+            otherwise a new object.
         """
         warnings.warn("set_value is deprecated and will be removed "
                       "in a future release. Please use "
@@ -1658,7 +1658,7 @@ def unique(self):
             * Datetime with Timezone
             * Interval
             * Sparse
-            * IntegerNA
+            * IntegerNA.
 
         See Also
         --------

pandas/core/tools/numeric.py

@@ -59,7 +59,7 @@ def to_numeric(arg, errors='raise', downcast=None):
     Returns
     -------
     ret : numeric if parsing succeeded.
-        Return type depends on input.  Series if Series, otherwise ndarray
+        Return type depends on input.  Series if Series, otherwise ndarray.
 
     See Also
     --------

pandas/core/window.py

@@ -1271,7 +1271,7 @@ def skew(self, **kwargs):
     -------
     Series or DataFrame
         Returned object type is determined by the caller of the %(name)s
-        calculation
+        calculation.
 
     See Also
     --------

pandas/io/formats/style.py

@@ -435,7 +435,7 @@ def render(self, **kwargs):
         Returns
         -------
         rendered : str
-            The rendered HTML
+            The rendered HTML.
 
         Notes
         -----

pandas/plotting/_core.py

@@ -2061,7 +2061,7 @@ def plot_series(data, kind='line', ax=None,                    # Series unique
         For data grouped with ``by``:
 
         * :class:`~pandas.Series`
-        * :class:`~numpy.array` (for ``return_type = None``)
+        * :class:`~numpy.array` (for ``return_type = None``).
 
     See Also
     --------
@@ -3332,7 +3332,7 @@ def area(self, x=None, y=None, **kwds):
         Returns
         -------
         matplotlib.axes.Axes or numpy.ndarray
-            Area plot, or array of area plots if subplots is True
+            Area plot, or array of area plots if subplots is True.
 
         See Also
         --------

pandas/plotting/_misc.py

@@ -390,7 +390,7 @@ def bootstrap_plot(series, fig=None, size=50, samples=500, **kwds):
     Returns
     -------
     fig : matplotlib.figure.Figure
-        Matplotlib figure
+        Matplotlib figure.
 
     See Also
     --------

pandas/tseries/frequencies.py

@@ -68,7 +68,7 @@ def to_offset(freq):
     Returns
     -------
     delta : DateOffset
-        None if freq is None
+        None if freq is None.
 
     Raises
     ------