Merge branch 'master' of https://github.com/pandas-dev/pandas into in…

…dex_data2
pandas-dev · TomAugspurger · Dec 29, 2018 · Dec 21, 2018 · Dec 21, 2018 · Dec 21, 2018
commit 5b95d78d5ba070109e2d9f304550d2fea548b41f
diff --git a/pandas/core/arrays/datetimelike.py b/pandas/core/arrays/datetimelike.py
@@ -125,40 +125,6 @@ def strftime(self, date_format):
         """
         from pandas import Index
         return Index(self._format_native_types(date_format=date_format))
-    strftime.__doc__ = """
-    Convert to Index using specified date_format.
-
-    Return an Index of formatted strings specified by date_format, which
-    supports the same string format as the python standard library. Details
-    of the string format can be found in `python string format doc <{0}>`__
-
-    Parameters
-    ----------
-    date_format : str
-        Date format string (e.g. "%Y-%m-%d").
-
-    Returns
-    -------
-    Index
-        Index of formatted strings
-
-    See Also
-    --------
-    to_datetime : Convert the given argument to datetime.
-    DatetimeIndex.normalize : Return DatetimeIndex with times to midnight.
-    DatetimeIndex.round : Round the DatetimeIndex to the specified freq.
-    DatetimeIndex.floor : Floor the DatetimeIndex to the specified freq.
-
-    Examples
-    --------
-    >>> rng = pd.date_range(pd.Timestamp("2018-03-10 09:00"),
-    ...                     periods=3, freq='s')
-    >>> rng.strftime('%B %d, %Y, %r')
-    Index(['March 10, 2018, 09:00:00 AM', 'March 10, 2018, 09:00:01 AM',
-           'March 10, 2018, 09:00:02 AM'],
-          dtype='object')
-    """.format("https://docs.python.org/3/library/datetime.html"
-               "#strftime-and-strptime-behavior")
 
 
 class TimelikeOps(object):
diff --git a/pandas/core/indexes/datetimelike.py b/pandas/core/indexes/datetimelike.py
@@ -85,6 +85,8 @@ def wrapper(self, other):
         wrapper.__name__ = '__{}__'.format(op.__name__)
         return wrapper
 
+    # ------------------------------------------------------------------------
+
     def equals(self, other):
         """
         Determines if two Index objects contain the same elements.

diff --git a/pandas/core/indexes/period.py b/pandas/core/indexes/period.py
@@ -883,10 +883,6 @@ def __setstate__(self, state):
 
     _unpickle_compat = __setstate__
 
-    def repeat(self, repeats, *args, **kwargs):
-        # TODO(DatetimeArray): Just use Index.repeat
-        return Index.repeat(self, repeats, *args, **kwargs)
-
     def view(self, dtype=None, type=None):
         # TODO(DatetimeArray): remove
         if dtype is None or dtype is __builtins__['type'](self):