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38 changes: 38 additions & 0 deletions pandas/tests/frame/methods/test_join.py
Original file line number Diff line number Diff line change
Expand Up @@ -575,3 +575,41 @@ def test_frame_join_tzaware(self):

tm.assert_index_equal(result.index, expected)
assert result.index.tz.key == "US/Central"

def test_frame_join_categorical_index(self):
# GH 61675
cat_data = pd.Categorical(
[15, 16, 17, 18],
categories=pd.Series(list(range(3, 24)), dtype="Int64"),
ordered=True,
)
values1 = "a b c d".split()
values2 = "xyzzy foo bar ...".split()
df1 = DataFrame({"hr": cat_data, "values1": values1}).set_index("hr")
df2 = DataFrame({"hr": cat_data, "values2": values2}).set_index("hr")
df1.columns = pd.CategoricalIndex([4], dtype=cat_data.dtype, name="other_hr")
df2.columns = pd.CategoricalIndex([3], dtype=cat_data.dtype, name="other_hr")

df_joined_1 = (
df1.reset_index(level="hr")
.merge(df2.reset_index(level="hr"), on="hr")
.set_index("hr")
)
expected1 = DataFrame(
{"hr": cat_data, "values1": values1, "values2": values2}
).set_index("hr")
expected1.columns = Index([4, 3], dtype="object", name="other_hr")

tm.assert_frame_equal(df_joined_1, expected1)

df_joined_2 = df1.join(df2)
expected2 = DataFrame(
{"hr": cat_data, "values1": values1, "values2": values2}
).set_index("hr")
expected2.columns = pd.CategoricalIndex(
[4, 3], dtype=cat_data.dtype, name="other_hr"
)

tm.assert_frame_equal(df_joined_2, expected2)

assert df_joined_1.equals(df_joined_2)
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