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TEST: Focus concat join coverage #24031

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TEST: Focus concat join empty input coverage
vyasr Sep 7, 2026
38a18df
TEST: Focus empty DataFrame concat inputs
vyasr Sep 7, 2026
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238 changes: 167 additions & 71 deletions python/cudf/cudf/tests/reshape/test_concat.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1071,48 +1071,96 @@ def test_concat_join_series(ignore_index, sort, join, axis):


@pytest.mark.parametrize(
"df",
"df, other",
[
pd.DataFrame(),
pd.DataFrame(index=[10, 20, 30]),
pd.DataFrame(
{"c": [10, 11, 22, 33, 44, 100]}, index=[7, 8, 9, 10, 11, 20]
pytest.param(
pd.DataFrame(),
[pd.DataFrame(), pd.DataFrame(), pd.DataFrame(), pd.DataFrame()],
),
pd.DataFrame([[5, 6], [7, 8]], columns=list("AB")),
pd.DataFrame({"f": [10.2, 11.2332, 0.22, 3.3, 44.23, 10.0]}),
pd.DataFrame({"l": [10]}),
pd.DataFrame({"l": [10]}, index=[200]),
pd.DataFrame([], index=[100]),
pd.DataFrame({"cat": pd.Series(["one", "two"], dtype="category")}),
],
)
@pytest.mark.parametrize(
"other",
[
[pd.DataFrame(), pd.DataFrame(), pd.DataFrame(), pd.DataFrame()],
[
pytest.param(
pd.DataFrame(index=[10, 20, 30]),
[
pd.DataFrame(
{"b": [10, 11, 22, 33, 44, 100]},
index=[7, 8, 9, 10, 11, 20],
),
pd.DataFrame(),
pd.DataFrame(),
pd.DataFrame([[5, 6], [7, 8]], columns=list("AB")),
],
),
pytest.param(
pd.DataFrame(
{"b": [10, 11, 22, 33, 44, 100]}, index=[7, 8, 9, 10, 11, 20]
{"c": [10, 11, 22, 33, 44, 100]},
index=[7, 8, 9, 10, 11, 20],
),
pd.DataFrame(),
pd.DataFrame(),
[
pd.DataFrame({"f": [10.2, 11.2332, 0.22, 3.3, 44.23, 10.0]}),
pd.DataFrame({"l": [10]}),
pd.DataFrame({"k": [10]}, index=[200]),
pd.DataFrame(
{"cat": pd.Series(["two", "three"], dtype="category")}
),
],
),
pytest.param(
pd.DataFrame([[5, 6], [7, 8]], columns=list("AB")),
],
[
[
pd.DataFrame([]),
pd.DataFrame([], index=[100]),
pd.DataFrame(
{"cat": pd.Series(["two", "three"], dtype="category")}
),
],
),
pytest.param(
pd.DataFrame({"f": [10.2, 11.2332, 0.22, 3.3, 44.23, 10.0]}),
[pd.DataFrame(), pd.DataFrame(), pd.DataFrame(), pd.DataFrame()],
),
pytest.param(
pd.DataFrame({"l": [10]}),
pd.DataFrame({"k": [10]}, index=[200]),
pd.DataFrame(
{"cat": pd.Series(["two", "three"], dtype="category")}
),
],
[
pd.DataFrame([]),
[
pd.DataFrame(
{"b": [10, 11, 22, 33, 44, 100]},
index=[7, 8, 9, 10, 11, 20],
),
pd.DataFrame(),
pd.DataFrame(),
pd.DataFrame([[5, 6], [7, 8]], columns=list("AB")),
],
),
pytest.param(
pd.DataFrame({"l": [10]}, index=[200]),
[
pd.DataFrame({"f": [10.2, 11.2332, 0.22, 3.3, 44.23, 10.0]}),
pd.DataFrame({"l": [10]}),
pd.DataFrame({"k": [10]}, index=[200]),
pd.DataFrame(
{"cat": pd.Series(["two", "three"], dtype="category")}
),
],
),
pytest.param(
pd.DataFrame([], index=[100]),
pd.DataFrame(
{"cat": pd.Series(["two", "three"], dtype="category")}
),
],
[
pd.DataFrame([]),
pd.DataFrame([], index=[100]),
pd.DataFrame(
{"cat": pd.Series(["two", "three"], dtype="category")}
),
],
),
pytest.param(
pd.DataFrame({"cat": pd.Series(["one", "two"], dtype="category")}),
[
pd.DataFrame({"f": [10.2, 11.2332, 0.22, 3.3, 44.23, 10.0]}),
pd.DataFrame({"l": [10]}),
pd.DataFrame({"k": [10]}, index=[200]),
pd.DataFrame(
{"cat": pd.Series(["two", "three"], dtype="category")}
),
],
),
],
)
def test_concat_join_empty_dataframes(
Expand Down Expand Up @@ -1155,48 +1203,96 @@ def test_concat_join_empty_dataframes(


@pytest.mark.parametrize(
"df",
[
pd.DataFrame(),
pd.DataFrame(index=[10, 20, 30]),
pd.DataFrame(
{"c": [10, 11, 22, 33, 44, 100]}, index=[7, 8, 9, 10, 11, 20]
),
pd.DataFrame([[5, 6], [7, 8]], columns=list("AB")),
pd.DataFrame({"f": [10.2, 11.2332, 0.22, 3.3, 44.23, 10.0]}),
pd.DataFrame({"l": [10]}),
pd.DataFrame({"m": [10]}, index=[200]),
pd.DataFrame([], index=[100]),
pd.DataFrame({"cat": pd.Series(["one", "two"], dtype="category")}),
],
)
@pytest.mark.parametrize(
"other",
"df, other",
[
[pd.DataFrame(), pd.DataFrame(), pd.DataFrame(), pd.DataFrame()],
[
pd.DataFrame(
{"b": [10, 11, 22, 33, 44, 100]}, index=[7, 8, 9, 10, 11, 20]
),
pd.DataFrame(),
pytest.param(
pd.DataFrame(),
pd.DataFrame([[5, 6], [7, 8]], columns=list("CD")),
],
[
pd.DataFrame({"g": [10.2, 11.2332, 0.22, 3.3, 44.23, 10.0]}),
pd.DataFrame({"h": [10]}),
pd.DataFrame({"k": [10]}, index=[200]),
[pd.DataFrame(), pd.DataFrame(), pd.DataFrame(), pd.DataFrame()],
),
pytest.param(
pd.DataFrame(index=[10, 20, 30]),
[
pd.DataFrame(
{"b": [10, 11, 22, 33, 44, 100]},
index=[7, 8, 9, 10, 11, 20],
),
pd.DataFrame(),
pd.DataFrame(),
pd.DataFrame([[5, 6], [7, 8]], columns=list("CD")),
],
),
pytest.param(
pd.DataFrame(
{"dog": pd.Series(["two", "three"], dtype="category")}
{"c": [10, 11, 22, 33, 44, 100]},
index=[7, 8, 9, 10, 11, 20],
),
],
[
pd.DataFrame([]),
[
pd.DataFrame({"g": [10.2, 11.2332, 0.22, 3.3, 44.23, 10.0]}),
pd.DataFrame({"h": [10]}),
pd.DataFrame({"k": [10]}, index=[200]),
pd.DataFrame(
{"dog": pd.Series(["two", "three"], dtype="category")}
),
],
),
pytest.param(
pd.DataFrame([[5, 6], [7, 8]], columns=list("AB")),
[
pd.DataFrame([]),
pd.DataFrame([], index=[100]),
pd.DataFrame(
{"bird": pd.Series(["two", "three"], dtype="category")}
),
],
),
pytest.param(
pd.DataFrame({"f": [10.2, 11.2332, 0.22, 3.3, 44.23, 10.0]}),
[pd.DataFrame(), pd.DataFrame(), pd.DataFrame(), pd.DataFrame()],
),
pytest.param(
pd.DataFrame({"l": [10]}),
[
pd.DataFrame(
{"b": [10, 11, 22, 33, 44, 100]},
index=[7, 8, 9, 10, 11, 20],
),
pd.DataFrame(),
pd.DataFrame(),
pd.DataFrame([[5, 6], [7, 8]], columns=list("CD")),
],
),
pytest.param(
pd.DataFrame({"m": [10]}, index=[200]),
[
pd.DataFrame({"g": [10.2, 11.2332, 0.22, 3.3, 44.23, 10.0]}),
pd.DataFrame({"h": [10]}),
pd.DataFrame({"k": [10]}, index=[200]),
pd.DataFrame(
{"dog": pd.Series(["two", "three"], dtype="category")}
),
],
),
pytest.param(
pd.DataFrame([], index=[100]),
pd.DataFrame(
{"bird": pd.Series(["two", "three"], dtype="category")}
),
],
[
pd.DataFrame([]),
pd.DataFrame([], index=[100]),
pd.DataFrame(
{"bird": pd.Series(["two", "three"], dtype="category")}
),
],
),
pytest.param(
pd.DataFrame({"cat": pd.Series(["one", "two"], dtype="category")}),
[
pd.DataFrame({"g": [10.2, 11.2332, 0.22, 3.3, 44.23, 10.0]}),
pd.DataFrame({"h": [10]}),
pd.DataFrame({"k": [10]}, index=[200]),
pd.DataFrame(
{"dog": pd.Series(["two", "three"], dtype="category")}
),
],
),
],
)
def test_concat_join_empty_dataframes_axis_1(
Expand Down
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