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pandas/core/generic.py

Lines changed: 78 additions & 78 deletions
Original file line numberDiff line numberDiff line change
@@ -10512,58 +10512,58 @@ def _doc_parms(cls):
1051210512
%(examples)s
1051310513
"""
1051410514

10515-
_num_ddof_doc = """
10516-
%(desc)s
10517-
Parameters
10518-
----------
10519-
axis : %(axis_descr)s
10520-
skipna : bool, default True
10521-
Exclude NA/null values. If an entire row/column is NA, the result
10522-
will be NA.
10523-
level : int or level name, default None
10524-
If the axis is a MultiIndex (hierarchical), count along a
10525-
particular level, collapsing into a %(name1)s.
10526-
ddof : int, default 1
10527-
Delta Degrees of Freedom. The divisor used in calculations is N - ddof,
10528-
where N represents the number of elements.
10529-
numeric_only : bool, default None
10530-
Include only float, int, boolean columns. If None, will attempt to use
10531-
everything, then use only numeric data. Not implemented for Series.
10532-
Returns
10533-
-------
10515+
_num_ddof_doc = """
10516+
%(desc)s
10517+
Parameters
10518+
----------
10519+
axis : %(axis_descr)s
10520+
skipna : bool, default True
10521+
Exclude NA/null values. If an entire row/column is NA, the result
10522+
will be NA.
10523+
level : int or level name, default None
10524+
If the axis is a MultiIndex (hierarchical), count along a
10525+
particular level, collapsing into a %(name1)s.
10526+
ddof : int, default 1
10527+
Delta Degrees of Freedom. The divisor used in calculations is N - ddof,
10528+
where N represents the number of elements.
10529+
numeric_only : bool, default None
10530+
Include only float, int, boolean columns. If None, will attempt to use
10531+
everything, then use only numeric data. Not implemented for Series.
10532+
Returns
10533+
-------
1053410534
%(name1)s or %(name2)s (if level specified)\n"""
1053510535

10536-
_bool_doc = """
10537-
%(desc)s
10538-
Parameters
10539-
----------
10540-
axis : {0 or 'index', 1 or 'columns', None}, default 0
10541-
Indicate which axis or axes should be reduced.
10542-
* 0 / 'index' : reduce the index, return a Series whose index is the
10543-
original column labels.
10544-
* 1 / 'columns' : reduce the columns, return a Series whose index is the
10545-
original index.
10546-
* None : reduce all axes, return a scalar.
10547-
bool_only : bool, default None
10548-
Include only boolean columns. If None, will attempt to use everything,
10549-
then use only boolean data. Not implemented for Series.
10550-
skipna : bool, default True
10551-
Exclude NA/null values. If the entire row/column is NA and skipna is
10552-
True, then the result will be %(empty_value)s, as for an empty row/column.
10553-
If skipna is False, then NA are treated as True, because these are not
10554-
equal to zero.
10555-
level : int or level name, default None
10556-
If the axis is a MultiIndex (hierarchical), count along a
10557-
particular level, collapsing into a %(name1)s.
10558-
**kwargs : any, default None
10559-
Additional keywords have no effect but might be accepted for
10560-
compatibility with NumPy.
10561-
Returns
10562-
-------
10563-
%(name1)s or %(name2)s
10564-
If level is specified, then, %(name2)s is returned; otherwise, %(name1)s
10565-
is returned.
10566-
%(see_also)s
10536+
_bool_doc = """
10537+
%(desc)s
10538+
Parameters
10539+
----------
10540+
axis : {0 or 'index', 1 or 'columns', None}, default 0
10541+
Indicate which axis or axes should be reduced.
10542+
* 0 / 'index' : reduce the index, return a Series whose index is the
10543+
original column labels.
10544+
* 1 / 'columns' : reduce the columns, return a Series whose index is the
10545+
original index.
10546+
* None : reduce all axes, return a scalar.
10547+
bool_only : bool, default None
10548+
Include only boolean columns. If None, will attempt to use everything,
10549+
then use only boolean data. Not implemented for Series.
10550+
skipna : bool, default True
10551+
Exclude NA/null values. If the entire row/column is NA and skipna is
10552+
True, then the result will be %(empty_value)s, as for an empty row/column.
10553+
If skipna is False, then NA are treated as True, because these are not
10554+
equal to zero.
10555+
level : int or level name, default None
10556+
If the axis is a MultiIndex (hierarchical), count along a
10557+
particular level, collapsing into a %(name1)s.
10558+
**kwargs : any, default None
10559+
Additional keywords have no effect but might be accepted for
10560+
compatibility with NumPy.
10561+
Returns
10562+
-------
10563+
%(name1)s or %(name2)s
10564+
If level is specified, then, %(name2)s is returned; otherwise, %(name1)s
10565+
is returned.
10566+
%(see_also)s
1056710567
%(examples)s"""
1056810568

1056910569
_all_desc = """\
@@ -10626,34 +10626,34 @@ def _doc_parms(cls):
1062610626
DataFrame.any : Return True if one (or more) elements are True.
1062710627
"""
1062810628

10629-
_cnum_doc = """
10630-
Return cumulative %(desc)s over a DataFrame or Series axis.
10631-
Returns a DataFrame or Series of the same size containing the cumulative
10632-
%(desc)s.
10633-
Parameters
10634-
----------
10635-
axis : {0 or 'index', 1 or 'columns'}, default 0
10636-
The index or the name of the axis. 0 is equivalent to None or 'index'.
10637-
skipna : bool, default True
10638-
Exclude NA/null values. If an entire row/column is NA, the result
10639-
will be NA.
10640-
*args, **kwargs
10641-
Additional keywords have no effect but might be accepted for
10642-
compatibility with NumPy.
10643-
Returns
10644-
-------
10645-
%(name1)s or %(name2)s
10646-
Return cumulative %(desc)s of %(name1)s or %(name2)s.
10647-
See Also
10648-
--------
10649-
core.window.Expanding.%(accum_func_name)s : Similar functionality
10650-
but ignores ``NaN`` values.
10651-
%(name2)s.%(accum_func_name)s : Return the %(desc)s over
10652-
%(name2)s axis.
10653-
%(name2)s.cummax : Return cumulative maximum over %(name2)s axis.
10654-
%(name2)s.cummin : Return cumulative minimum over %(name2)s axis.
10655-
%(name2)s.cumsum : Return cumulative sum over %(name2)s axis.
10656-
%(name2)s.cumprod : Return cumulative product over %(name2)s axis.
10629+
_cnum_doc = """
10630+
Return cumulative %(desc)s over a DataFrame or Series axis.
10631+
Returns a DataFrame or Series of the same size containing the cumulative
10632+
%(desc)s.
10633+
Parameters
10634+
----------
10635+
axis : {0 or 'index', 1 or 'columns'}, default 0
10636+
The index or the name of the axis. 0 is equivalent to None or 'index'.
10637+
skipna : bool, default True
10638+
Exclude NA/null values. If an entire row/column is NA, the result
10639+
will be NA.
10640+
*args, **kwargs
10641+
Additional keywords have no effect but might be accepted for
10642+
compatibility with NumPy.
10643+
Returns
10644+
-------
10645+
%(name1)s or %(name2)s
10646+
Return cumulative %(desc)s of %(name1)s or %(name2)s.
10647+
See Also
10648+
--------
10649+
core.window.Expanding.%(accum_func_name)s : Similar functionality
10650+
but ignores ``NaN`` values.
10651+
%(name2)s.%(accum_func_name)s : Return the %(desc)s over
10652+
%(name2)s axis.
10653+
%(name2)s.cummax : Return cumulative maximum over %(name2)s axis.
10654+
%(name2)s.cummin : Return cumulative minimum over %(name2)s axis.
10655+
%(name2)s.cumsum : Return cumulative sum over %(name2)s axis.
10656+
%(name2)s.cumprod : Return cumulative product over %(name2)s axis.
1065710657
%(examples)s"""
1065810658

1065910659
_cummin_examples = """\

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