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pandas/core/generic.py

Lines changed: 78 additions & 78 deletions
Original file line numberDiff line numberDiff line change
@@ -10656,58 +10656,58 @@ def _doc_parms(cls):
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%(examples)s
1065710657
"""
1065810658

10659-
_num_ddof_doc = """
10660-
%(desc)s
10661-
Parameters
10662-
----------
10663-
axis : %(axis_descr)s
10664-
skipna : bool, default True
10665-
Exclude NA/null values. If an entire row/column is NA, the result
10666-
will be NA.
10667-
level : int or level name, default None
10668-
If the axis is a MultiIndex (hierarchical), count along a
10669-
particular level, collapsing into a %(name1)s.
10670-
ddof : int, default 1
10671-
Delta Degrees of Freedom. The divisor used in calculations is N - ddof,
10672-
where N represents the number of elements.
10673-
numeric_only : bool, default None
10674-
Include only float, int, boolean columns. If None, will attempt to use
10675-
everything, then use only numeric data. Not implemented for Series.
10676-
Returns
10677-
-------
10659+
_num_ddof_doc = """
10660+
%(desc)s
10661+
Parameters
10662+
----------
10663+
axis : %(axis_descr)s
10664+
skipna : bool, default True
10665+
Exclude NA/null values. If an entire row/column is NA, the result
10666+
will be NA.
10667+
level : int or level name, default None
10668+
If the axis is a MultiIndex (hierarchical), count along a
10669+
particular level, collapsing into a %(name1)s.
10670+
ddof : int, default 1
10671+
Delta Degrees of Freedom. The divisor used in calculations is N - ddof,
10672+
where N represents the number of elements.
10673+
numeric_only : bool, default None
10674+
Include only float, int, boolean columns. If None, will attempt to use
10675+
everything, then use only numeric data. Not implemented for Series.
10676+
Returns
10677+
-------
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%(name1)s or %(name2)s (if level specified)\n"""
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10680-
_bool_doc = """
10681-
%(desc)s
10682-
Parameters
10683-
----------
10684-
axis : {0 or 'index', 1 or 'columns', None}, default 0
10685-
Indicate which axis or axes should be reduced.
10686-
* 0 / 'index' : reduce the index, return a Series whose index is the
10687-
original column labels.
10688-
* 1 / 'columns' : reduce the columns, return a Series whose index is the
10689-
original index.
10690-
* None : reduce all axes, return a scalar.
10691-
bool_only : bool, default None
10692-
Include only boolean columns. If None, will attempt to use everything,
10693-
then use only boolean data. Not implemented for Series.
10694-
skipna : bool, default True
10695-
Exclude NA/null values. If the entire row/column is NA and skipna is
10696-
True, then the result will be %(empty_value)s, as for an empty row/column.
10697-
If skipna is False, then NA are treated as True, because these are not
10698-
equal to zero.
10699-
level : int or level name, default None
10700-
If the axis is a MultiIndex (hierarchical), count along a
10701-
particular level, collapsing into a %(name1)s.
10702-
**kwargs : any, default None
10703-
Additional keywords have no effect but might be accepted for
10704-
compatibility with NumPy.
10705-
Returns
10706-
-------
10707-
%(name1)s or %(name2)s
10708-
If level is specified, then, %(name2)s is returned; otherwise, %(name1)s
10709-
is returned.
10710-
%(see_also)s
10680+
_bool_doc = """
10681+
%(desc)s
10682+
Parameters
10683+
----------
10684+
axis : {0 or 'index', 1 or 'columns', None}, default 0
10685+
Indicate which axis or axes should be reduced.
10686+
* 0 / 'index' : reduce the index, return a Series whose index is the
10687+
original column labels.
10688+
* 1 / 'columns' : reduce the columns, return a Series whose index is the
10689+
original index.
10690+
* None : reduce all axes, return a scalar.
10691+
bool_only : bool, default None
10692+
Include only boolean columns. If None, will attempt to use everything,
10693+
then use only boolean data. Not implemented for Series.
10694+
skipna : bool, default True
10695+
Exclude NA/null values. If the entire row/column is NA and skipna is
10696+
True, then the result will be %(empty_value)s, as for an empty row/column.
10697+
If skipna is False, then NA are treated as True, because these are not
10698+
equal to zero.
10699+
level : int or level name, default None
10700+
If the axis is a MultiIndex (hierarchical), count along a
10701+
particular level, collapsing into a %(name1)s.
10702+
**kwargs : any, default None
10703+
Additional keywords have no effect but might be accepted for
10704+
compatibility with NumPy.
10705+
Returns
10706+
-------
10707+
%(name1)s or %(name2)s
10708+
If level is specified, then, %(name2)s is returned; otherwise, %(name1)s
10709+
is returned.
10710+
%(see_also)s
1071110711
%(examples)s"""
1071210712

1071310713
_all_desc = """\
@@ -10770,34 +10770,34 @@ def _doc_parms(cls):
1077010770
DataFrame.any : Return True if one (or more) elements are True.
1077110771
"""
1077210772

10773-
_cnum_doc = """
10774-
Return cumulative %(desc)s over a DataFrame or Series axis.
10775-
Returns a DataFrame or Series of the same size containing the cumulative
10776-
%(desc)s.
10777-
Parameters
10778-
----------
10779-
axis : {0 or 'index', 1 or 'columns'}, default 0
10780-
The index or the name of the axis. 0 is equivalent to None or 'index'.
10781-
skipna : bool, default True
10782-
Exclude NA/null values. If an entire row/column is NA, the result
10783-
will be NA.
10784-
*args, **kwargs
10785-
Additional keywords have no effect but might be accepted for
10786-
compatibility with NumPy.
10787-
Returns
10788-
-------
10789-
%(name1)s or %(name2)s
10790-
Return cumulative %(desc)s of %(name1)s or %(name2)s.
10791-
See Also
10792-
--------
10793-
core.window.Expanding.%(accum_func_name)s : Similar functionality
10794-
but ignores ``NaN`` values.
10795-
%(name2)s.%(accum_func_name)s : Return the %(desc)s over
10796-
%(name2)s axis.
10797-
%(name2)s.cummax : Return cumulative maximum over %(name2)s axis.
10798-
%(name2)s.cummin : Return cumulative minimum over %(name2)s axis.
10799-
%(name2)s.cumsum : Return cumulative sum over %(name2)s axis.
10800-
%(name2)s.cumprod : Return cumulative product over %(name2)s axis.
10773+
_cnum_doc = """
10774+
Return cumulative %(desc)s over a DataFrame or Series axis.
10775+
Returns a DataFrame or Series of the same size containing the cumulative
10776+
%(desc)s.
10777+
Parameters
10778+
----------
10779+
axis : {0 or 'index', 1 or 'columns'}, default 0
10780+
The index or the name of the axis. 0 is equivalent to None or 'index'.
10781+
skipna : bool, default True
10782+
Exclude NA/null values. If an entire row/column is NA, the result
10783+
will be NA.
10784+
*args, **kwargs
10785+
Additional keywords have no effect but might be accepted for
10786+
compatibility with NumPy.
10787+
Returns
10788+
-------
10789+
%(name1)s or %(name2)s
10790+
Return cumulative %(desc)s of %(name1)s or %(name2)s.
10791+
See Also
10792+
--------
10793+
core.window.Expanding.%(accum_func_name)s : Similar functionality
10794+
but ignores ``NaN`` values.
10795+
%(name2)s.%(accum_func_name)s : Return the %(desc)s over
10796+
%(name2)s axis.
10797+
%(name2)s.cummax : Return cumulative maximum over %(name2)s axis.
10798+
%(name2)s.cummin : Return cumulative minimum over %(name2)s axis.
10799+
%(name2)s.cumsum : Return cumulative sum over %(name2)s axis.
10800+
%(name2)s.cumprod : Return cumulative product over %(name2)s axis.
1080110801
%(examples)s"""
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1080310803
_cummin_examples = """\

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