@@ -730,7 +730,6 @@ def droplevel(self, level, axis=0):
730730
731731 axis : {0 or 'index', 1 or 'columns'}, default 0
732732
733-
734733 Returns
735734 -------
736735 DataFrame.droplevel()
@@ -769,7 +768,6 @@ def droplevel(self, level, axis=0):
769768 1 2 3 4
770769 5 6 7 8
771770 9 10 11 12
772-
773771 """
774772 labels = self ._get_axis (axis )
775773 new_labels = labels .droplevel (level )
@@ -1233,7 +1231,6 @@ def rename_axis(self, mapper=None, **kwargs):
12331231 2 3 30
12341232 c 1 4 40
12351233 2 5 50
1236-
12371234 """
12381235 axes , kwargs = self ._construct_axes_from_arguments ((), kwargs )
12391236 copy = kwargs .pop ('copy' , True )
@@ -2075,7 +2072,6 @@ def _repr_latex_(self):
20752072 automatically chosen depending on the file extension):
20762073
20772074 >>> df1.to_excel('output1.xlsx', engine='xlsxwriter')
2078-
20792075 """
20802076
20812077 def to_json (self , path_or_buf = None , orient = None , date_format = None ,
@@ -2324,7 +2320,6 @@ def to_hdf(self, path_or_buf, key, **kwargs):
23242320
23252321 >>> import os
23262322 >>> os.remove('data.h5')
2327-
23282323 """
23292324 from pandas .io import pytables
23302325 return pytables .to_hdf (path_or_buf , key , self , ** kwargs )
@@ -3324,7 +3319,6 @@ def xs(self, key, axis=0, level=None, drop_level=True):
33243319 MultiIndex Slicers is a generic way to get/set values on any level or
33253320 levels. It is a superset of xs functionality, see
33263321 :ref:`MultiIndex Slicers <advanced.mi_slicers>`
3327-
33283322 """
33293323 axis = self ._get_axis_number (axis )
33303324 labels = self ._get_axis (axis )
@@ -4886,7 +4880,6 @@ def as_matrix(self, columns=None):
48864880 If the caller is heterogeneous and contains booleans or objects,
48874881 the result will be of dtype=object. See Notes.
48884882
4889-
48904883 Notes
48914884 -----
48924885 Return is NOT a Numpy-matrix, rather, a Numpy-array.
@@ -8954,7 +8947,6 @@ def tz_localize(self, tz, axis=0, level=None, copy=True,
89548947 2018-10-28 02:36:00+02:00 1
89558948 2018-10-28 03:46:00+01:00 2
89568949 dtype: int64
8957-
89588950 """
89598951 if nonexistent not in ('raise' , 'NaT' , 'shift' ):
89608952 raise ValueError ("The nonexistent argument must be one of 'raise',"
@@ -9651,7 +9643,7 @@ def compound(self, axis=None, skipna=None, level=None):
96519643 cls , 'kurt' , name , name2 , axis_descr ,
96529644 "Return unbiased kurtosis over requested axis using Fisher's "
96539645 "definition of\n kurtosis (kurtosis of normal == 0.0). Normalized "
9654- "by N-1\n " ,
9646+ "by N-1" ,
96559647 nanops .nankurt )
96569648 cls .kurtosis = cls .kurt
96579649 cls .prod = _make_min_count_stat_function (
@@ -9699,8 +9691,7 @@ def nanptp(values, axis=0, skipna=True):
96999691 ``numpy.ndarray`` method ``ptp``.
97009692
97019693 .. deprecated:: 0.24.0
9702- Use numpy.ptp instead
9703- """ ,
9694+ Use numpy.ptp instead""" ,
97049695 nanptp )
97059696
97069697 @classmethod
@@ -9983,7 +9974,6 @@ def _doc_parms(cls):
99839974
99849975
99859976_num_doc = """
9986-
99879977%(desc)s
99889978
99899979Parameters
@@ -10001,12 +9991,11 @@ def _doc_parms(cls):
100019991
100029992Returns
100039993-------
10004- %(outname)s : %(name1)s or %(name2)s (if level specified)
9994+ %(outname)s : %(name1)s or %(name2)s (if level specified)\
100059995
100069996%(examples)s"""
100079997
100089998_num_ddof_doc = """
10009-
100109999%(desc)s
1001110000
1001210001Parameters
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