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TST: Assign back multiple column to datetime #46982

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Merged
merged 4 commits into from
Jun 5, 2022
Merged

TST: Assign back multiple column to datetime #46982

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0e6a22a
TST: Additional to iloc setitem
parthi-siva May 10, 2022
6928918
used ArrayManager for type evualation
parthi-siva May 11, 2022
f7e7902
Removed test
parthi-siva May 12, 2022
cae8b05
Merge branch 'main' into TST_for_#20511
mroeschke Jun 3, 2022
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19 changes: 19 additions & 0 deletions pandas/tests/indexing/test_iloc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -21,11 +21,13 @@
Interval,
NaT,
Series,
Timestamp,
array,
concat,
date_range,
interval_range,
isna,
to_datetime,
)
import pandas._testing as tm
from pandas.api.types import is_scalar
Expand Down Expand Up @@ -1196,6 +1198,23 @@ def test_iloc_getitem_int_single_ea_block_view(self):
arr[2] = arr[-1]
assert ser[0] == arr[-1]

def test_iloc_setitem_multicolumn_to_datetime(self, using_array_manager):

# GH#20511
df = DataFrame({"A": ["2022-01-01", "2022-01-02"], "B": ["2021", "2022"]})

df.iloc[:, [0]] = DataFrame({"A": to_datetime(["2021", "2022"])})
expected = DataFrame(
{
"A": [
Timestamp("2021-01-01 00:00:00"),
Timestamp("2022-01-01 00:00:00"),
],
"B": ["2021", "2022"],
}
)
tm.assert_frame_equal(df, expected, check_dtype=using_array_manager)


class TestILocErrors:
# NB: this test should work for _any_ Series we can pass as
Expand Down