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Add test for unique aggregation returning different dtypes #47603

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Merged
merged 6 commits into from
Jul 26, 2022
Merged

Add test for unique aggregation returning different dtypes #47603

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0097f75
TST: Added test for consistent type with unique agg #22558
srotondo Jul 5, 2022
1d695b1
Merge remote-tracking branch 'upstream/main' into unique-test
srotondo Jul 5, 2022
06db464
TST: Added test for consistent type with unique agg #22558
srotondo Jul 5, 2022
f977a15
TST: Moved and restructured test #22558
srotondo Jul 6, 2022
84f075d
TST: Moved test to different file #22558
srotondo Jul 15, 2022
105c338
TST: Changed scalars to 1-element lists
srotondo Jul 21, 2022
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12 changes: 12 additions & 0 deletions pandas/tests/groupby/aggregate/test_aggregate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1438,3 +1438,15 @@ def test_agg_of_mode_list(test, constant):
expected = expected.set_index(0)

tm.assert_frame_equal(result, expected)


def test_unique_agg_type():
# GH#22558
df1 = DataFrame({"a": [1, 2, 3], "b": [1, 1, 1]})
df2 = DataFrame({"a": [2, 2, 2], "b": [1, 1, 1]})
aggregation = {"a": "unique", "b": "unique"}

agg1 = df1.agg(aggregation)
agg2 = df2.agg(aggregation)

tm.assert_class_equal(agg1, agg2)
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Please define expected as a DataFrame and then use tm.assert_frame_equal. Also, this is not a groupby test, right?

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You're right, this shouldn't be in groupby. I've made the changes and moved it to a more appropriate file.