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ENH: updating subset types in drop_duplicates/duplicated #986

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Merged
merged 8 commits into from
Sep 6, 2024
Merged

ENH: updating subset types in drop_duplicates/duplicated #986

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46b3987
updating subset types
kirill-bash Aug 26, 2024
7b4fc6c
Merge branch 'main' of https://github.com/pandas-dev/pandas-stubs
kirill-bash Aug 28, 2024
bcf38d6
adding pytest
kirill-bash Aug 28, 2024
e91671b
updating based on feedback
kirill-bash Aug 28, 2024
7897b31
updating based on feedback
kirill-bash Aug 28, 2024
aaa1094
updating based on feedback
kirill-bash Aug 29, 2024
e2ab372
correcting conditional
kirill-bash Sep 4, 2024
253eada
complying with black formatting
kirill-bash Sep 6, 2024
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4 changes: 2 additions & 2 deletions pandas-stubs/core/frame.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -901,15 +901,15 @@ class DataFrame(NDFrame, OpsMixin):
) -> DataFrame | None: ...
def drop_duplicates(
self,
subset=...,
subset: Hashable | Iterable[Hashable] | None = ...,
*,
keep: NaPosition | _bool = ...,
inplace: _bool = ...,
ignore_index: _bool = ...,
) -> DataFrame: ...
def duplicated(
self,
subset: Hashable | Sequence[Hashable] | None = ...,
subset: Hashable | Iterable[Hashable] | None = ...,
keep: NaPosition | _bool = ...,
) -> Series: ...
@overload
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18 changes: 18 additions & 0 deletions tests/test_frame.py
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Expand Up @@ -368,6 +368,24 @@ def test_types_dropna() -> None:
res3: None = df.dropna(axis=0, how="all", subset=["col1"], inplace=True)


def test_types_drop_duplicates() -> None:
# GH#59237
df = pd.DataFrame(
{
"AAA": ["foo", "bar", "foo", "bar", "foo", "bar", "bar", "foo"],
"B": ["one", "one", "two", "two", "two", "two", "one", "two"],
"C": [1, 1, 2, 2, 2, 2, 1, 2],
"D": range(8),
}
)

check(assert_type(df.drop_duplicates({"AAA"}), pd.DataFrame), pd.DataFrame)
check(assert_type(df.drop_duplicates(["AAA"]), pd.DataFrame), pd.DataFrame)
check(assert_type(df.drop_duplicates(("AAA",)), pd.DataFrame), pd.DataFrame)
check(assert_type(df.drop_duplicates({"AAA": None}), pd.DataFrame), pd.DataFrame)
check(assert_type(df.drop_duplicates("AAA"), pd.DataFrame), pd.DataFrame)
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With pandas 2.2, the set and dict arguments don't work. But they will work in a future release of pandas.

So you need to surround the set and dict tests with

if PD_LTE_22:
    # Put the 2 tests here

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Thanks for the tip!



def test_types_fillna() -> None:
df = pd.DataFrame(data={"col1": [np.nan, np.nan], "col2": [3, np.nan]})
res: pd.DataFrame = df.fillna(0)
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