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DEPR: Remove unnecessary kwargs in groupby ops #50483

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7ebf822
Depr: unnecessary kwargs in groupby ops
ramvikrams Dec 29, 2022
88ab270
update
ramvikrams Dec 29, 2022
aff453d
added the whatsnew entey and modified the code
ramvikrams Dec 29, 2022
4f6548b
added the decorator above the functions
ramvikrams Dec 31, 2022
2a680be
update
ramvikrams Dec 31, 2022
6569006
Update groupby.py
ramvikrams Dec 31, 2022
3a150f6
Update generic.py
ramvikrams Dec 31, 2022
519d9da
Update v2.0.0.rst
ramvikrams Dec 31, 2022
20c8606
added tests
ramvikrams Jan 3, 2023
b026a74
Update v2.0.0.rst
ramvikrams Jan 3, 2023
dfed625
Update test_deprecate_nonkeyword_arguments.py
ramvikrams Jan 3, 2023
1676d19
Update test_deprecate_nonkeyword_arguments.py
ramvikrams Jan 3, 2023
b3ca2f2
Update test_deprecate_nonkeyword_arguments.py
ramvikrams Jan 3, 2023
90fb8dc
Update test_deprecate_nonkeyword_arguments.py
ramvikrams Jan 3, 2023
fe8f551
corrected the tests
ramvikrams Jan 9, 2023
e45c8ff
Update test_deprecate_nonkeyword_arguments.py
ramvikrams Jan 9, 2023
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18 changes: 10 additions & 8 deletions pandas/core/groupby/generic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -897,9 +897,12 @@ def take(
self,
indices: TakeIndexer,
axis: Axis = 0,
**kwargs,
) -> Series:
result = self._op_via_apply("take", indices=indices, axis=axis, **kwargs)
result = self._op_via_apply(
"take",
indices=indices,
axis=axis,
)
return result

@doc(Series.skew.__doc__)
Expand All @@ -908,14 +911,12 @@ def skew(
axis: Axis | lib.NoDefault = lib.no_default,
skipna: bool = True,
numeric_only: bool = False,
**kwargs,
) -> Series:
result = self._op_via_apply(
"skew",
axis=axis,
skipna=skipna,
numeric_only=numeric_only,
**kwargs,
)
return result

Expand Down Expand Up @@ -2276,9 +2277,12 @@ def take(
self,
indices: TakeIndexer,
axis: Axis | None = 0,
**kwargs,
) -> DataFrame:
result = self._op_via_apply("take", indices=indices, axis=axis, **kwargs)
result = self._op_via_apply(
"take",
indices=indices,
axis=axis,
)
return result

@doc(DataFrame.skew.__doc__)
Expand All @@ -2287,14 +2291,12 @@ def skew(
axis: Axis | None | lib.NoDefault = lib.no_default,
skipna: bool = True,
numeric_only: bool = False,
**kwargs,
) -> DataFrame:
result = self._op_via_apply(
"skew",
axis=axis,
skipna=skipna,
numeric_only=numeric_only,
**kwargs,
)
return result

Expand Down
20 changes: 12 additions & 8 deletions pandas/core/groupby/groupby.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3411,38 +3411,42 @@ def rank(
@final
@Substitution(name="groupby")
@Appender(_common_see_also)
def cumprod(self, axis: Axis = 0, *args, **kwargs) -> NDFrameT:
def cumprod(self, axis: Axis = 0) -> NDFrameT:
"""
Cumulative product for each group.

Returns
-------
Series or DataFrame
"""
nv.validate_groupby_func("cumprod", args, kwargs, ["numeric_only", "skipna"])
nv.validate_groupby_func("cumprod", ["numeric_only", "skipna"])
if axis != 0:
f = lambda x: x.cumprod(axis=axis, **kwargs)
f = lambda x: x.cumprod(
axis=axis,
)
return self._python_apply_general(f, self._selected_obj, is_transform=True)

return self._cython_transform("cumprod", **kwargs)
return self._cython_transform(
"cumprod",
)

@final
@Substitution(name="groupby")
@Appender(_common_see_also)
def cumsum(self, axis: Axis = 0, *args, **kwargs) -> NDFrameT:
def cumsum(self, axis: Axis = 0) -> NDFrameT:
"""
Cumulative sum for each group.

Returns
-------
Series or DataFrame
"""
nv.validate_groupby_func("cumsum", args, kwargs, ["numeric_only", "skipna"])
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@datapythonista datapythonista Dec 29, 2022

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The CI is failing because of this. You can't simply delete the values, you should provide an empty tuple and an empty dictionary instead.

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@ramvikrams ramvikrams Dec 29, 2022

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Yes will do

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@ramvikrams ramvikrams Dec 29, 2022

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i am getting this error Error: The runner has received a shutdown signal...' in GHA. GH 45651 , could you help on this.

nv.validate_groupby_func("cumsum", ["numeric_only", "skipna"])
if axis != 0:
f = lambda x: x.cumsum(axis=axis, **kwargs)
f = lambda x: x.cumsum(axis=axis)
return self._python_apply_general(f, self._selected_obj, is_transform=True)

return self._cython_transform("cumsum", **kwargs)
return self._cython_transform("cumsum")

@final
@Substitution(name="groupby")
Expand Down