DOC: Improve the docstring of Series.take

pandas/core/generic.py

@@ -2521,28 +2521,43 @@ def _take(self, indices, axis=0, convert=True, is_copy=True):
         ----------
         indices : array-like
             An array of ints indicating which positions to take.
-        axis : int, default 0
-            The axis on which to select elements. "0" means that we are
-            selecting rows, "1" means that we are selecting columns, etc.
+        axis : {0 or 'index', 1 or 'columns', None}, default 0
+            The axis on which to select elements. ``0`` means that we are
+            selecting rows, ``1`` means that we are selecting columns.
         convert : bool, default True
-            .. deprecated:: 0.21.0
-               In the future, negative indices will always be converted.
-
             Whether to convert negative indices into positive ones.
             For example, ``-1`` would map to the ``len(axis) - 1``.
             The conversions are similar to the behavior of indexing a
             regular Python list.
+
+            .. deprecated:: 0.21.0
+               In the future, negative indices will always be converted.
+
         is_copy : bool, default True
             Whether to return a copy of the original object or not.
+        **kwargs
+            For compatibility with :meth:`numpy.take`. Has no effect on the
+            output.
+
+        Returns
+        -------
+        taken : type of caller
+            An array-like containing the elements taken from the object.
+
+        See Also
+        --------
+        DataFrame.loc : Select a subset of a DataFrame by labels.
+        DataFrame.iloc : Select a subset of a DataFrame by positions.
+        numpy.take : Take elements from an array along an axis.
 
         Examples
         --------
         >>> df = pd.DataFrame([('falcon', 'bird',    389.0),
-                               ('parrot', 'bird',     24.0),
-                               ('lion',   'mammal',   80.5),
-                               ('monkey', 'mammal', np.nan)],
-                              columns=('name', 'class', 'max_speed'),
-                              index=[0, 2, 3, 1])
+        ...                    ('parrot', 'bird',     24.0),
+        ...                    ('lion',   'mammal',   80.5),
+        ...                    ('monkey', 'mammal', np.nan)],
+        ...                    columns=['name', 'class', 'max_speed'],
+        ...                    index=[0, 2, 3, 1])
         >>> df
              name   class  max_speed
         0  falcon    bird      389.0
@@ -2557,6 +2572,7 @@ def _take(self, indices, axis=0, convert=True, is_copy=True):
         and 3rd rows, not rows whose indices equal 0 and 3.
 
         >>> df.take([0, 3])
+             name   class  max_speed
         0  falcon    bird      389.0
         1  monkey  mammal        NaN
 
@@ -2576,16 +2592,6 @@ class  max_speed
              name   class  max_speed
         1  monkey  mammal        NaN
         3    lion  mammal       80.5
-
-        Returns
-        -------
-        taken : type of caller
-            An array-like containing the elements taken from the object.
-
-        See Also
-        --------
-        numpy.ndarray.take
-        numpy.take
         """
 
     @Appender(_shared_docs['take'])