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TYP: func in core.apply.Apply.__init__ #53365

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Merged
merged 1 commit into from
May 24, 2023
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TYP: func in core.apply.Apply.__init__ #53365

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19 changes: 10 additions & 9 deletions pandas/core/apply.py
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Original file line number Diff line number Diff line change
Expand Up @@ -103,11 +103,13 @@ def frame_apply(

class Apply(metaclass=abc.ABCMeta):
axis: AxisInt
orig_f: AggFuncType
f: AggFuncType

def __init__(
self,
obj: AggObjType,
func,
func: AggFuncType,
raw: bool,
result_type: str | None,
*,
Expand All @@ -127,21 +129,19 @@ def __init__(

self.result_type = result_type

f: AggFuncType
# curry if needed
if (
(kwargs or args)
and not isinstance(func, (np.ufunc, str))
and not is_list_like(func)
):
if callable(func) and (kwargs or args) and not isinstance(func, np.ufunc):

def f(x):
assert callable(func) # needed for mypy
return func(x, *args, **kwargs)

else:
f = func

self.orig_f: AggFuncType = func
self.f: AggFuncType = f
self.orig_f = func
self.f = f

@abc.abstractmethod
def apply(self) -> DataFrame | Series:
Expand Down Expand Up @@ -1201,7 +1201,7 @@ def transform(self):

def reconstruct_func(
func: AggFuncType | None, **kwargs
) -> tuple[bool, AggFuncType | None, list[str] | None, npt.NDArray[np.intp] | None]:
) -> tuple[bool, AggFuncType, list[str] | None, npt.NDArray[np.intp] | None]:
"""
This is the internal function to reconstruct func given if there is relabeling
or not and also normalize the keyword to get new order of columns.
Expand Down Expand Up @@ -1256,6 +1256,7 @@ def reconstruct_func(

if relabeling:
func, columns, order = normalize_keyword_aggregation(kwargs)
assert func is not None

return relabeling, func, columns, order

Expand Down