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pandas/core/generic.py

Lines changed: 78 additions & 78 deletions
Original file line numberDiff line numberDiff line change
@@ -10400,58 +10400,58 @@ def _doc_parms(cls):
1040010400
%(examples)s
1040110401
"""
1040210402

10403-
_num_ddof_doc = """
10404-
%(desc)s
10405-
Parameters
10406-
----------
10407-
axis : %(axis_descr)s
10408-
skipna : bool, default True
10409-
Exclude NA/null values. If an entire row/column is NA, the result
10410-
will be NA.
10411-
level : int or level name, default None
10412-
If the axis is a MultiIndex (hierarchical), count along a
10413-
particular level, collapsing into a %(name1)s.
10414-
ddof : int, default 1
10415-
Delta Degrees of Freedom. The divisor used in calculations is N - ddof,
10416-
where N represents the number of elements.
10417-
numeric_only : bool, default None
10418-
Include only float, int, boolean columns. If None, will attempt to use
10419-
everything, then use only numeric data. Not implemented for Series.
10420-
Returns
10421-
-------
10403+
_num_ddof_doc = """
10404+
%(desc)s
10405+
Parameters
10406+
----------
10407+
axis : %(axis_descr)s
10408+
skipna : bool, default True
10409+
Exclude NA/null values. If an entire row/column is NA, the result
10410+
will be NA.
10411+
level : int or level name, default None
10412+
If the axis is a MultiIndex (hierarchical), count along a
10413+
particular level, collapsing into a %(name1)s.
10414+
ddof : int, default 1
10415+
Delta Degrees of Freedom. The divisor used in calculations is N - ddof,
10416+
where N represents the number of elements.
10417+
numeric_only : bool, default None
10418+
Include only float, int, boolean columns. If None, will attempt to use
10419+
everything, then use only numeric data. Not implemented for Series.
10420+
Returns
10421+
-------
1042210422
%(name1)s or %(name2)s (if level specified)\n"""
1042310423

10424-
_bool_doc = """
10425-
%(desc)s
10426-
Parameters
10427-
----------
10428-
axis : {0 or 'index', 1 or 'columns', None}, default 0
10429-
Indicate which axis or axes should be reduced.
10430-
* 0 / 'index' : reduce the index, return a Series whose index is the
10431-
original column labels.
10432-
* 1 / 'columns' : reduce the columns, return a Series whose index is the
10433-
original index.
10434-
* None : reduce all axes, return a scalar.
10435-
bool_only : bool, default None
10436-
Include only boolean columns. If None, will attempt to use everything,
10437-
then use only boolean data. Not implemented for Series.
10438-
skipna : bool, default True
10439-
Exclude NA/null values. If the entire row/column is NA and skipna is
10440-
True, then the result will be %(empty_value)s, as for an empty row/column.
10441-
If skipna is False, then NA are treated as True, because these are not
10442-
equal to zero.
10443-
level : int or level name, default None
10444-
If the axis is a MultiIndex (hierarchical), count along a
10445-
particular level, collapsing into a %(name1)s.
10446-
**kwargs : any, default None
10447-
Additional keywords have no effect but might be accepted for
10448-
compatibility with NumPy.
10449-
Returns
10450-
-------
10451-
%(name1)s or %(name2)s
10452-
If level is specified, then, %(name2)s is returned; otherwise, %(name1)s
10453-
is returned.
10454-
%(see_also)s
10424+
_bool_doc = """
10425+
%(desc)s
10426+
Parameters
10427+
----------
10428+
axis : {0 or 'index', 1 or 'columns', None}, default 0
10429+
Indicate which axis or axes should be reduced.
10430+
* 0 / 'index' : reduce the index, return a Series whose index is the
10431+
original column labels.
10432+
* 1 / 'columns' : reduce the columns, return a Series whose index is the
10433+
original index.
10434+
* None : reduce all axes, return a scalar.
10435+
bool_only : bool, default None
10436+
Include only boolean columns. If None, will attempt to use everything,
10437+
then use only boolean data. Not implemented for Series.
10438+
skipna : bool, default True
10439+
Exclude NA/null values. If the entire row/column is NA and skipna is
10440+
True, then the result will be %(empty_value)s, as for an empty row/column.
10441+
If skipna is False, then NA are treated as True, because these are not
10442+
equal to zero.
10443+
level : int or level name, default None
10444+
If the axis is a MultiIndex (hierarchical), count along a
10445+
particular level, collapsing into a %(name1)s.
10446+
**kwargs : any, default None
10447+
Additional keywords have no effect but might be accepted for
10448+
compatibility with NumPy.
10449+
Returns
10450+
-------
10451+
%(name1)s or %(name2)s
10452+
If level is specified, then, %(name2)s is returned; otherwise, %(name1)s
10453+
is returned.
10454+
%(see_also)s
1045510455
%(examples)s"""
1045610456

1045710457
_all_desc = """\
@@ -10514,34 +10514,34 @@ def _doc_parms(cls):
1051410514
DataFrame.any : Return True if one (or more) elements are True.
1051510515
"""
1051610516

10517-
_cnum_doc = """
10518-
Return cumulative %(desc)s over a DataFrame or Series axis.
10519-
Returns a DataFrame or Series of the same size containing the cumulative
10520-
%(desc)s.
10521-
Parameters
10522-
----------
10523-
axis : {0 or 'index', 1 or 'columns'}, default 0
10524-
The index or the name of the axis. 0 is equivalent to None or 'index'.
10525-
skipna : bool, default True
10526-
Exclude NA/null values. If an entire row/column is NA, the result
10527-
will be NA.
10528-
*args, **kwargs
10529-
Additional keywords have no effect but might be accepted for
10530-
compatibility with NumPy.
10531-
Returns
10532-
-------
10533-
%(name1)s or %(name2)s
10534-
Return cumulative %(desc)s of %(name1)s or %(name2)s.
10535-
See Also
10536-
--------
10537-
core.window.Expanding.%(accum_func_name)s : Similar functionality
10538-
but ignores ``NaN`` values.
10539-
%(name2)s.%(accum_func_name)s : Return the %(desc)s over
10540-
%(name2)s axis.
10541-
%(name2)s.cummax : Return cumulative maximum over %(name2)s axis.
10542-
%(name2)s.cummin : Return cumulative minimum over %(name2)s axis.
10543-
%(name2)s.cumsum : Return cumulative sum over %(name2)s axis.
10544-
%(name2)s.cumprod : Return cumulative product over %(name2)s axis.
10517+
_cnum_doc = """
10518+
Return cumulative %(desc)s over a DataFrame or Series axis.
10519+
Returns a DataFrame or Series of the same size containing the cumulative
10520+
%(desc)s.
10521+
Parameters
10522+
----------
10523+
axis : {0 or 'index', 1 or 'columns'}, default 0
10524+
The index or the name of the axis. 0 is equivalent to None or 'index'.
10525+
skipna : bool, default True
10526+
Exclude NA/null values. If an entire row/column is NA, the result
10527+
will be NA.
10528+
*args, **kwargs
10529+
Additional keywords have no effect but might be accepted for
10530+
compatibility with NumPy.
10531+
Returns
10532+
-------
10533+
%(name1)s or %(name2)s
10534+
Return cumulative %(desc)s of %(name1)s or %(name2)s.
10535+
See Also
10536+
--------
10537+
core.window.Expanding.%(accum_func_name)s : Similar functionality
10538+
but ignores ``NaN`` values.
10539+
%(name2)s.%(accum_func_name)s : Return the %(desc)s over
10540+
%(name2)s axis.
10541+
%(name2)s.cummax : Return cumulative maximum over %(name2)s axis.
10542+
%(name2)s.cummin : Return cumulative minimum over %(name2)s axis.
10543+
%(name2)s.cumsum : Return cumulative sum over %(name2)s axis.
10544+
%(name2)s.cumprod : Return cumulative product over %(name2)s axis.
1054510545
%(examples)s"""
1054610546

1054710547
_cummin_examples = """\

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