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add multi index with categories test #49975

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add multi index with categories test #49975

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37 changes: 37 additions & 0 deletions pandas/tests/indexes/multi/test_setops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -692,6 +692,43 @@ def test_intersection_lexsort_depth(levels1, levels2, codes1, codes2, names):
assert mi_int._lexsort_depth == 2


@pytest.mark.parametrize(
"a",
[pd.Categorical(["a", "b"], categories=["a", "b"]), ["a", "b"]],
)
@pytest.mark.parametrize(
"b",
[
pd.Categorical(["a", "b"], categories=["b", "a"]),
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Is one of these supposed to have ordered=True like in the original issue? Otherwise both b params are the same

pd.Categorical(["a", "b"], categories=["b", "a"]),
],
)
def test_intersection_with_non_lex_sorted_categories(a, b):
# GH#49974
other = ["1", "2"]

df1 = DataFrame({"x": a, "y": other})
df2 = DataFrame({"x": b, "y": other})

expected = MultiIndex.from_arrays([a, other], names=["x", "y"])

res1 = MultiIndex.from_frame(df1).intersection(
MultiIndex.from_frame(df2.sort_values(["x", "y"]))
)
res2 = MultiIndex.from_frame(df1).intersection(MultiIndex.from_frame(df2))
res3 = MultiIndex.from_frame(df1.sort_values(["x", "y"])).intersection(
MultiIndex.from_frame(df2)
)
res4 = MultiIndex.from_frame(df1.sort_values(["x", "y"])).intersection(
MultiIndex.from_frame(df2.sort_values(["x", "y"]))
)

tm.assert_index_equal(res1, expected)
tm.assert_index_equal(res2, expected)
tm.assert_index_equal(res3, expected)
tm.assert_index_equal(res4, expected)


@pytest.mark.parametrize("val", [pd.NA, 100])
def test_intersection_keep_ea_dtypes(val, any_numeric_ea_dtype):
# GH#48604
Expand Down