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Can't combine DatetimeIndex MultiIndex with numeric MultiIndex #42143

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Merged
merged 12 commits into from
Dec 19, 2021
Merged

Can't combine DatetimeIndex MultiIndex with numeric MultiIndex #42143

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d1fe851
This is a test for issue 23478.
Alex-JG3 Jun 20, 2021
60a9dd9
Parameterized the test.
Alex-JG3 Jun 21, 2021
07d6628
change
Alex-JG3 Jun 21, 2021
efcd23a
change
Alex-JG3 Jun 21, 2021
95e5e2c
Changed the 'assert_produces_warning' argument to 'None'.
Alex-JG3 Jun 22, 2021
239e4e1
moved test_concat_with_various_multiindex_dtypes to test_index.py
Alex-Gregory-AITIS Jul 11, 2021
dfdb4fc
Removed path_to_file.xlsx
Alex-Gregory-AITIS Jul 11, 2021
d6f444c
Change method comment.
Alex-Gregory-AITIS Jul 11, 2021
c6494c8
Merge remote-tracking branch 'upstream/master' into branch-for-issue-…
Alex-JG3 Aug 21, 2021
19bbbd7
Add comparison between expected and actual result.
Alex-JG3 Aug 21, 2021
7e22ecc
Merge remote-tracking branch 'origin/master' into branch-for-issue-23478
Alex-JG3 Dec 19, 2021
3a3a6af
Remove from_product from parameterize and remove Multiindex.from_tuple.
Alex-JG3 Dec 19, 2021
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30 changes: 30 additions & 0 deletions pandas/tests/reshape/concat/test_index.py
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Original file line number Diff line number Diff line change
Expand Up @@ -265,3 +265,33 @@ def test_concat_multiindex_dfs_with_deepcopy(self):
tm.assert_frame_equal(result_copy, expected)
result_no_copy = concat(example_dict, names=["testname"])
tm.assert_frame_equal(result_no_copy, expected)

@pytest.mark.parametrize(
"mi1",
[
MultiIndex.from_product([["a"], range(2)]),
MultiIndex.from_product([["a"], np.arange(2.0)]),
MultiIndex.from_product([["b"], ["A", "B"]]),
MultiIndex.from_product(
[["c"], pd.date_range(start="2017", end="2018", periods=2)]
),
],
)
@pytest.mark.parametrize(
"mi2",
[
MultiIndex.from_product([["a"], range(2)]),
MultiIndex.from_product([["a"], np.arange(2.0)]),
MultiIndex.from_product([["b"], ["A", "B"]]),
MultiIndex.from_product(
[["c"], pd.date_range(start="2017", end="2018", periods=2)]
),
],
)
def test_concat_with_various_multiindex_dtypes(self, mi1, mi2):
# GitHub #23478
df1 = DataFrame(np.zeros((1, len(mi1))), columns=mi1)
df2 = DataFrame(np.zeros((1, len(mi2))), columns=mi2)

with tm.assert_produces_warning(None):
concat((df1, df2), axis=1)