DOC: Delete more trailing blank lines in docstrings.

re: issue pandas-dev#23632

Author: douglatornell

pandas/core/arrays/categorical.py

@@ -2435,7 +2435,6 @@ class CategoricalAccessor(PandasDelegate, PandasObject, NoNewAttributesMixin):
     >>> s.cat.set_categories(list('abcde'))
     >>> s.cat.as_ordered()
     >>> s.cat.as_unordered()
-
     """
 
     def __init__(self, data):

pandas/core/arrays/datetimes.py

@@ -746,7 +746,6 @@ def tz_localize(self, tz, ambiguous='raise', nonexistent='raise',
         1   2018-10-28 02:36:00+02:00
         2   2018-10-28 03:46:00+01:00
         dtype: datetime64[ns, CET]
-
         """
         if errors is not None:
             warnings.warn("The errors argument is deprecated and will be "

pandas/core/generic.py

@@ -728,7 +728,6 @@ def droplevel(self, level, axis=0):
 
         axis : {0 or 'index', 1 or 'columns'}, default 0
 
-
         Returns
         -------
         DataFrame.droplevel()
@@ -767,7 +766,6 @@ def droplevel(self, level, axis=0):
         1 2      3   4
         5 6      7   8
         9 10    11  12
-
         """
         labels = self._get_axis(axis)
         new_labels = labels.droplevel(level)
@@ -1231,7 +1229,6 @@ def rename_axis(self, mapper=None, **kwargs):
             2    3  30
         c   1    4  40
             2    5  50
-
         """
         axes, kwargs = self._construct_axes_from_arguments((), kwargs)
         copy = kwargs.pop('copy', True)
@@ -2072,7 +2069,6 @@ def _repr_latex_(self):
     automatically chosen depending on the file extension):
 
     >>> df1.to_excel('output1.xlsx', engine='xlsxwriter')
-
     """
 
     def to_json(self, path_or_buf=None, orient=None, date_format=None,
@@ -2321,7 +2317,6 @@ def to_hdf(self, path_or_buf, key, **kwargs):
 
         >>> import os
         >>> os.remove('data.h5')
-
         """
         from pandas.io import pytables
         return pytables.to_hdf(path_or_buf, key, self, **kwargs)
@@ -3321,7 +3316,6 @@ def xs(self, key, axis=0, level=None, drop_level=True):
         MultiIndex Slicers is a generic way to get/set values on any level or
         levels.  It is a superset of xs functionality, see
         :ref:`MultiIndex Slicers <advanced.mi_slicers>`
-
         """
         axis = self._get_axis_number(axis)
         labels = self._get_axis(axis)
@@ -4883,7 +4877,6 @@ def as_matrix(self, columns=None):
             If the caller is heterogeneous and contains booleans or objects,
             the result will be of dtype=object. See Notes.
 
-
         Notes
         -----
         Return is NOT a Numpy-matrix, rather, a Numpy-array.
@@ -8951,7 +8944,6 @@ def tz_localize(self, tz, axis=0, level=None, copy=True,
         2018-10-28 02:36:00+02:00    1
         2018-10-28 03:46:00+01:00    2
         dtype: int64
-
         """
         if nonexistent not in ('raise', 'NaT', 'shift'):
             raise ValueError("The nonexistent argument must be one of 'raise',"
@@ -9648,7 +9640,7 @@ def compound(self, axis=None, skipna=None, level=None):
             cls, 'kurt', name, name2, axis_descr,
             "Return unbiased kurtosis over requested axis using Fisher's "
             "definition of\nkurtosis (kurtosis of normal == 0.0). Normalized "
-            "by N-1\n",
+            "by N-1",
             nanops.nankurt)
         cls.kurtosis = cls.kurt
         cls.prod = _make_min_count_stat_function(
@@ -9696,8 +9688,7 @@ def nanptp(values, axis=0, skipna=True):
             ``numpy.ndarray`` method ``ptp``.
 
             .. deprecated:: 0.24.0
-                Use numpy.ptp instead
-            """,
+                Use numpy.ptp instead""",
             nanptp)
 
     @classmethod
@@ -9961,7 +9952,6 @@ def _doc_parms(cls):
 
 
 _num_doc = """
-
 %(desc)s
 
 Parameters
@@ -9979,12 +9969,11 @@ def _doc_parms(cls):
 
 Returns
 -------
-%(outname)s : %(name1)s or %(name2)s (if level specified)
+%(outname)s : %(name1)s or %(name2)s (if level specified)\
 
 %(examples)s"""
 
 _num_ddof_doc = """
-
 %(desc)s
 
 Parameters

pandas/core/indexing.py

@@ -1405,7 +1405,6 @@ class _IXIndexer(_NDFrameIndexer):
     usually better to be explicit and use ``.iloc`` or ``.loc``.
 
     See more at :ref:`Advanced Indexing <advanced>`.
-
     """
 
     def __init__(self, name, obj):

pandas/core/strings.py

@@ -475,7 +475,6 @@ def str_replace(arr, pat, repl, n=-1, case=None, flags=0, regex=True):
         A copy of the object with all matching occurrences of `pat` replaced by
         `repl`.
 
-
     Raises
     ------
     ValueError
@@ -549,7 +548,6 @@ def str_replace(arr, pat, repl, n=-1, case=None, flags=0, regex=True):
     1    bar
     2    NaN
     dtype: object
-
     """
 
     # Check whether repl is valid (GH 13438, GH 15055)
@@ -670,7 +668,6 @@ def str_match(arr, pat, case=True, flags=0, na=np.nan):
     contains : analogous, but less strict, relying on re.search instead of
         re.match
     extract : extract matched groups
-
     """
     if not case:
         flags |= re.IGNORECASE
@@ -1177,7 +1174,6 @@ def str_findall(arr, pat, flags=0):
     1        []
     2    [b, b]
     dtype: object
-
     """
     regex = re.compile(pat, flags=flags)
     return _na_map(regex.findall, arr)
@@ -2433,7 +2429,6 @@ def rsplit(self, pat=None, n=-1, expand=False):
     Examples
     --------
 
-
     >>> s = pd.Series(['Linda van der Berg', 'George Pitt-Rivers'])
     >>> s
     0    Linda van der Berg

pandas/core/window.py

@@ -547,7 +547,6 @@ class Window(_Window):
     2013-01-01 09:00:05  NaN
     2013-01-01 09:00:06  4.0
 
-
     Contrasting to an integer rolling window, this will roll a variable
     length window corresponding to the time period.
     The default for min_periods is 1.

pandas/plotting/_core.py

@@ -2460,7 +2460,6 @@ def hist_series(self, by=None, ax=None, grid=True, xlabelsize=None,
     See Also
     --------
     matplotlib.axes.Axes.hist : Plot a histogram using matplotlib.
-
     """
     import matplotlib.pyplot as plt