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TEST: Reuse describe test frames #24122

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87 changes: 19 additions & 68 deletions python/cudf/cudf/tests/dataframe/methods/test_describe.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION.
# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

import numpy as np
Expand Down Expand Up @@ -104,9 +104,9 @@ def test_dataframe_describe_include_all():
)


@pytest.mark.parametrize(
"pdf",
[
@pytest.fixture(
scope="module",
params=[
pd.DataFrame(
{
"a": [1, 2, 3],
Expand Down Expand Up @@ -147,15 +147,14 @@ def test_dataframe_describe_include_all():
),
],
)
@pytest.mark.parametrize(
"include",
[None, "all", ["str"], ["int"], ["str", "int", "category"]],
)
def test_describe_misc_include(pdf, include):
df = cudf.DataFrame(pdf)
def describe_frame(request):
pdf = request.param
return pdf, cudf.DataFrame(pdf)


expected = pdf.describe(include=include)
actual = df.describe(include=include)
def _assert_describe_equal(pdf, df, **kwargs):
expected = pdf.describe(**kwargs)
actual = df.describe(**kwargs)

for col in expected.columns:
if expected[col].dtype == np.dtype("object"):
Expand All @@ -165,64 +164,16 @@ def test_describe_misc_include(pdf, include):
assert_eq(expected, actual)


@pytest.mark.parametrize(
"pdf",
[
pd.DataFrame(
{
"a": [1, 2, 3],
"b": [10, 22, 33],
"c": [0.3234, 0.23432, 0.0],
"d": ["hello", "world", "hello"],
}
),
pd.DataFrame(
{
"a": [1, 2, 3],
"b": ["hello", "world", "hello"],
"c": [0.3234, 0.23432, 0.0],
}
),
pd.DataFrame(
{
"int_data": [1, 2, 3],
"str_data": ["hello", "world", "hello"],
"float_data": [0.3234, 0.23432, 0.0],
"timedelta_data": pd.Series(
[1, 2, 1], dtype="timedelta64[ns]"
),
"datetime_data": pd.Series([1, 2, 1], dtype="datetime64[ns]"),
}
),
pd.DataFrame(
{
"int_data": [1, 2, 3],
"str_data": ["hello", "world", "hello"],
"float_data": [0.3234, 0.23432, 0.0],
"timedelta_data": pd.Series(
[1, 2, 1], dtype="timedelta64[ns]"
),
"datetime_data": pd.Series([1, 2, 1], dtype="datetime64[ns]"),
"category_data": pd.Series(["a", "a", "b"], dtype="category"),
}
),
],
)
@pytest.mark.parametrize(
"exclude", [None, ["str"], ["int"], ["str", "int", "category"]]
)
def test_describe_misc_exclude(pdf, exclude):
df = cudf.DataFrame(pdf)
def test_describe_misc_include(describe_frame):
pdf, df = describe_frame
for include in (None, "all", ["str"], ["int"], ["str", "int", "category"]):
_assert_describe_equal(pdf, df, include=include)

expected = pdf.describe(exclude=exclude)
actual = df.describe(exclude=exclude)

for col in expected.columns:
if expected[col].dtype == np.dtype("object"):
expected[col] = expected[col].fillna(-1).astype("str")
actual[col] = actual[col].fillna(-1).astype("str")

assert_eq(expected, actual)
def test_describe_misc_exclude(describe_frame):
pdf, df = describe_frame
for exclude in (None, ["str"], ["int"], ["str", "int", "category"]):
_assert_describe_equal(pdf, df, exclude=exclude)


def test_empty_dataframe_describe():
Expand Down
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