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19 changes: 13 additions & 6 deletions pandas-stubs/core/reshape/pivot.pyi
Original file line number Diff line number Diff line change
@@ -1,18 +1,25 @@
from typing import (
Callable,
Hashable,
Literal,
Sequence,
TypeVar,
)

import numpy as np
from pandas.core.frame import DataFrame
from pandas.core.groupby.grouper import Grouper
from pandas.core.series import Series

from pandas._typing import (
HashableT,
IndexLabel,
Scalar,
npt,
)

_HashableT2 = TypeVar("_HashableT2", bound=Hashable)

def pivot_table(
data: DataFrame,
values: str | None = ...,
Expand All @@ -33,12 +40,12 @@ def pivot(
values: IndexLabel = ...,
) -> DataFrame: ...
def crosstab(
index: Sequence | Series,
columns: Sequence | Series,
values: Sequence | None = ...,
rownames: Sequence | None = ...,
colnames: Sequence | None = ...,
aggfunc: Callable | None = ...,
index: list | npt.NDArray | Series | list[Sequence | npt.NDArray | Series],
columns: list | npt.NDArray | Series | list[Sequence | npt.NDArray | Series],
values: list | npt.NDArray | Series | None = ...,
rownames: list[HashableT] | None = ...,
colnames: list[_HashableT2] | None = ...,
aggfunc: str | np.ufunc | Callable[[Series], float] | None = ...,
margins: bool = ...,
margins_name: str = ...,
dropna: bool = ...,
Expand Down
96 changes: 96 additions & 0 deletions tests/test_pandas.py
Original file line number Diff line number Diff line change
Expand Up @@ -1103,3 +1103,99 @@ def test_merge_asof() -> None:
),
pd.DataFrame,
)


def test_crosstab_args() -> None:
a = [1, 2, 3, 4, 1, 2, 3, 4, 1, 2]
b: list = [4, 5, 6, 3, 4, 3, 5, 6, 5, 5]
c = [1, 3, 2, 3, 1, 2, 3, 1, 3, 2]
check(assert_type(pd.crosstab(a, b), pd.DataFrame), pd.DataFrame)
check(assert_type(pd.crosstab(a, [b, c]), pd.DataFrame), pd.DataFrame)
check(
assert_type(pd.crosstab(np.array(a), np.array(b)), pd.DataFrame), pd.DataFrame
)
check(
assert_type(pd.crosstab(np.array(a), [np.array(b), np.array(c)]), pd.DataFrame),
pd.DataFrame,
)
check(
assert_type(pd.crosstab(pd.Series(a), pd.Series(b)), pd.DataFrame), pd.DataFrame
)
check(
assert_type(
pd.crosstab(pd.Series(a), [pd.Series(b), pd.Series(c)]), pd.DataFrame
),
pd.DataFrame,
)
values = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
check(
assert_type(pd.crosstab(a, b, values=values, aggfunc=np.sum), pd.DataFrame),
pd.DataFrame,
)
check(
assert_type(
pd.crosstab(a, b, values=np.array(values), aggfunc=np.sum), pd.DataFrame
),
pd.DataFrame,
)

check(
assert_type(
pd.crosstab(a, b, values=pd.Series(values), aggfunc=np.sum), pd.DataFrame
),
pd.DataFrame,
)
check(
assert_type(pd.crosstab(a, b, values=values, aggfunc=np.mean), pd.DataFrame),
pd.DataFrame,
)
check(
assert_type(pd.crosstab(a, b, values=values, aggfunc="mean"), pd.DataFrame),
pd.DataFrame,
)

def m(x: pd.Series) -> float:
return x.sum() / len(x)

check(
assert_type(pd.crosstab(a, b, values=values, aggfunc=m), pd.DataFrame),
pd.DataFrame,
)

def m2(x: pd.Series) -> int:
return int(x.sum())

check(
assert_type(pd.crosstab(a, b, values=values, aggfunc=m2), pd.DataFrame),
pd.DataFrame,
)
check(
assert_type(
pd.crosstab(a, b, margins=True, margins_name="something"), pd.DataFrame
),
pd.DataFrame,
)
check(
assert_type(pd.crosstab(a, b, margins=True, dropna=True), pd.DataFrame),
pd.DataFrame,
)
check(
assert_type(pd.crosstab(a, b, colnames=["a"], rownames=["b"]), pd.DataFrame),
pd.DataFrame,
)
rownames: list[tuple] = [("b", 1)]
colnames: list[tuple] = [("a",)]
check(
assert_type(
pd.crosstab(a, b, colnames=colnames, rownames=rownames),
pd.DataFrame,
),
pd.DataFrame,
)
check(assert_type(pd.crosstab(a, b, normalize=0), pd.DataFrame), pd.DataFrame)
check(assert_type(pd.crosstab(a, b, normalize=1), pd.DataFrame), pd.DataFrame)
check(assert_type(pd.crosstab(a, b, normalize="all"), pd.DataFrame), pd.DataFrame)
check(assert_type(pd.crosstab(a, b, normalize="index"), pd.DataFrame), pd.DataFrame)
check(
assert_type(pd.crosstab(a, b, normalize="columns"), pd.DataFrame), pd.DataFrame
)