add docstring pandas.Series.drop_duplicates

pandas/core/series.py

@@ -1316,8 +1316,77 @@ def unique(self):
 
         return result
 
-    @Appender(base._shared_docs['drop_duplicates'] % _shared_doc_kwargs)
+    #@Appender(base._shared_docs['drop_duplicates'] % _shared_doc_kwargs)
     def drop_duplicates(self, keep='first', inplace=False):
+        """
+        Return Series with duplicate values removed.
+
+        The drop_duplicates method can remove occurences or whole sets
+        of duplicated entries in a pandas.Index object.
+
+        Parameters
+        ----------
+        keep : {'first', 'last', False}, default 'first'
+            - 'first' : Drop duplicates except for the first occurrence.
+            - 'last' : Drop duplicates except for the last occurrence.
+            - ``False`` : Drop all duplicates.
+        inplace : boolean, default ``False``
+            If ``True``, performs operation inplace and returns None.
+
+        Returns
+        -------
+        deduplicated : Series
+
+        See Also
+        --------
+        pandas.Index.drop_duplicates : equivalent method on pandas.Index
+
+        Examples
+        --------
+        Generate an Series with duplicated entries.
+        >>> s = pd.Series(['lama', 'cow', 'lama', 'beetle', 'lama', 'hippo'],
+        ...               name='animal')
+        >>> s
+        0      lama
+        1       cow
+        2      lama
+        3    beetle
+        4      lama
+        5     hippo
+        Name: animal, dtype: object
+
+        With the 'keep' parameter, the selection behaviour of duplicated values
+        can be changed. The value 'first' keeps the first occurrence for each
+        set of duplicated entries. The default value of keep is 'first'.
+
+        >>> s.drop_duplicates()
+        0      lama
+        1       cow
+        3    beetle
+        5     hippo
+        Name: animal, dtype: object
+
+        The value 'last' for parameter 'keep' keeps the last occurrence for
+        each set of duplicated entries.
+
+        >>> s.drop_duplicates(keep='last')
+        1       cow
+        3    beetle
+        4      lama
+        5     hippo
+        Name: animal, dtype: object
+
+        The value ``False`` for parameter 'keep' discards all sets of
+        duplicated entries. Setting the value of 'inplace' to ``True`` performs
+        the operation inplace and returns ``None``.
+
+        >>> s.drop_duplicates(keep=False, inplace=True)
+        >>> s
+        1       cow
+        3    beetle
+        5     hippo
+        Name: animal, dtype: object
+        """
         return super(Series, self).drop_duplicates(keep=keep, inplace=inplace)
 
     @Appender(base._shared_docs['duplicated'] % _shared_doc_kwargs)