DOC: Remove duplicate sections

Author: TomAugspurger

pandas/_libs/tslib.pyx

@@ -238,15 +238,13 @@ _no_input = object()
 
 
 class Timestamp(_Timestamp):
-    """TimeStamp is the pandas equivalent of python's Datetime
+    """Pandas replacement for datetime.datetime
+
+    TimeStamp is the pandas equivalent of python's Datetime
     and is interchangable with it in most cases. It's the type used
     for the entries that make up a DatetimeIndex, and other timeseries
     oriented data structures in pandas.
 
-    There are essentially three calling conventions for the constructor. The
-    primary form accepts four parameters. They can be passed by position or
-    keyword.
-
     Parameters
     ----------
     ts_input : datetime-like, str, int, float
@@ -260,19 +258,32 @@ class Timestamp(_Timestamp):
     offset : str, DateOffset
         Deprecated, use freq
 
+    year, month, day : int
+        .. versionadded:: 0.19.0
+    hour, minute, second, microsecond : int, optional, default 0
+        .. versionadded:: 0.19.0
+    tzinfo : datetime.tzinfo, optional, default None
+        .. versionadded:: 0.19.0
+
+    Notes
+    -----
+    There are essentially three calling conventions for the constructor. The
+    primary form accepts four parameters. They can be passed by position or
+    keyword.
+
     The other two forms mimic the parameters from ``datetime.datetime``. They
     can be passed by either position or keyword, but not both mixed together.
 
-    Parameters
-    ----------
+    Examples
+    --------
+    >>> pd.Timestamp('2017-01-01T12')
+    Timestamp('2017-01-01 12:00:00')
 
-    .. versionadded:: 0.19.0
+    >>> pd.Timestamp(2017, 1, 1, 12)
+    Timestamp('2017-01-01 12:00:00')
 
-    year : int
-    month : int
-    day : int
-    hour, minute, second, microsecond : int, optional, default 0
-    tzinfo : datetime.tzinfo, optional, default None
+    >>> pd.Timestamp(year=2017, month=1, day=1, hour=12)
+    Timestamp('2017-01-01 12:00:00')
     """
 
     @classmethod

pandas/core/groupby.py

@@ -1257,7 +1257,6 @@ def expanding(self, *args, **kwargs):
         return ExpandingGroupby(self, *args, **kwargs)
 
     @Substitution(name='groupby')
-    @Appender(_doc_template)
     def pad(self, limit=None):
         """
         Forward fill the values
@@ -1269,14 +1268,15 @@ def pad(self, limit=None):
 
         See Also
         --------
+        Series.pad
+        DataFrame.pad
         Series.fillna
         DataFrame.fillna
         """
         return self.apply(lambda x: x.ffill(limit=limit))
     ffill = pad
 
     @Substitution(name='groupby')
-    @Appender(_doc_template)
     def backfill(self, limit=None):
         """
         Backward fill the values
@@ -1288,6 +1288,8 @@ def backfill(self, limit=None):
 
         See Also
         --------
+        Series.backfill
+        DataFrame.backfill
         Series.fillna
         DataFrame.fillna
         """
@@ -1450,7 +1452,6 @@ def nth(self, n, dropna=None):
         return result
 
     @Substitution(name='groupby')
-    @Appender(_doc_template)
     def ngroup(self, ascending=True):
         """
         Number each group from 0 to the number of groups - 1.
@@ -1507,7 +1508,6 @@ def ngroup(self, ascending=True):
         See also
         --------
         .cumcount : Number the rows in each group.
-
         """
 
         self._set_group_selection()
@@ -1519,7 +1519,6 @@ def ngroup(self, ascending=True):
         return result
 
     @Substitution(name='groupby')
-    @Appender(_doc_template)
     def cumcount(self, ascending=True):
         """
         Number each item in each group from 0 to the length of that group - 1.