diff --git a/pandas/core/series.py b/pandas/core/series.py
index 20e4720a3bde7..e3b7c6b8d055b 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -314,7 +314,6 @@ def from_array(cls, arr, index=None, name=None, dtype=None, copy=False,
 
         .. deprecated :: 0.23.0
             Use pd.Series(..) constructor instead.
-
         """
         warnings.warn("'from_array' is deprecated and will be removed in a "
                       "future version. Please use the pd.Series(..) "
@@ -437,7 +436,6 @@ def values(self):
         array(['2013-01-01T05:00:00.000000000',
                '2013-01-02T05:00:00.000000000',
                '2013-01-03T05:00:00.000000000'], dtype='datetime64[ns]')
-
         """
         return self._data.external_values()
 
@@ -1824,7 +1822,6 @@ def round(self, decimals=0, *args, **kwargs):
         --------
         numpy.around
         DataFrame.round
-
         """
         nv.validate_round(args, kwargs)
         result = com.values_from_object(self).round(decimals)
@@ -1906,7 +1903,6 @@ def corr(self, other, method='pearson', min_periods=None):
         min_periods : int, optional
             Minimum number of observations needed to have a valid result
 
-
         Returns
         -------
         correlation : float
@@ -2230,8 +2226,6 @@ def append(self, to_append, ignore_index=False, verify_integrity=False):
         Traceback (most recent call last):
         ...
         ValueError: Indexes have overlapping values: [0, 1, 2]
-
-
         """
         from pandas.core.reshape.concat import concat
 
@@ -2436,7 +2430,6 @@ def update(self, other):
         1    2
         2    6
         dtype: int64
-
         """
         other = other.reindex_like(self)
         mask = notna(other)
@@ -3011,7 +3004,6 @@ def swaplevel(self, i=-2, j=-1, copy=True):
 
            The indexes ``i`` and ``j`` are now optional, and default to
            the two innermost levels of the index.
-
         """
         new_index = self.index.swaplevel(i, j)
         return self._constructor(self._values, index=new_index,
@@ -3336,8 +3328,6 @@ def apply(self, func, convert_dtype=True, args=(), **kwds):
         New York    3.044522
         Helsinki    2.484907
         dtype: float64
-
-
         """
         if len(self) == 0:
             return self._constructor(dtype=self.dtype,