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TST: Add regression tests for concat with non-ns DatetimeIndex units (GH#58471) #62304

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TST: Add regression tests for concat with non-ns DatetimeIndex units (GH#58471) #62304

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45 changes: 45 additions & 0 deletions pandas/tests/reshape/concat/test_datetimes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -274,6 +274,51 @@ def test_concat_NaT_series_dataframe_all_NaT(self, tz1, tz2):
result = concat([first, second])
tm.assert_frame_equal(result, expected)

@pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
def test_concat_series_columns_nonoverlap_5min_units(self, unit):
# GH#58471
idx1 = date_range("2024-01-01", periods=24 * 12, freq="5min", unit=unit)
idx2 = date_range("2024-01-02", periods=24 * 12, freq="5min", unit=unit)
s1 = Series(np.arange(len(idx1)), index=idx1, name="a")
s2 = Series(np.arange(len(idx2)), index=idx2, name="b")
result = concat([s1, s2], axis=1)
expected_index = date_range(
"2024-01-01", "2024-01-02 23:55", freq="5min", unit=unit
)
expected_data = np.full((len(expected_index), 2), np.nan)
expected_data[: len(idx1), 0] = np.arange(len(idx1))
expected_data[len(idx1) :, 1] = np.arange(len(idx2))
expected = DataFrame(expected_data, index=expected_index, columns=["a", "b"])
tm.assert_frame_equal(result, expected)

@pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
def test_concat_series_columns_month_end_units_order_insensitive(self, unit):
# GH#58471
idx1 = date_range(start="2015-01-31", end="2016-01-31", freq="ME", unit=unit)
idx2 = date_range(start="2015-02-28", end="2016-02-29", freq="ME", unit=unit)
s1 = Series(np.arange(len(idx1)), index=idx1, name="m1")
s2 = Series(np.arange(len(idx2)), index=idx2, name="m2")
result1 = concat([s1, s2], axis=1)
result2 = concat([s2, s1], axis=1)

expected_index = idx1.union(idx2)
expected_data = np.full((len(expected_index), 2), np.nan)
for i, date in enumerate(expected_index):
if date in idx1:
expected_data[i, 0] = s1.loc[date]
if date in idx2:
expected_data[i, 1] = s2.loc[date]

expected1 = DataFrame(expected_data, index=expected_index, columns=["m1", "m2"])
tm.assert_frame_equal(result1, expected1)

expected2 = DataFrame(
expected_data[:, [1, 0]],
index=expected_index,
columns=["m2", "m1"],
)
tm.assert_frame_equal(result2, expected2)


class TestTimezoneConcat:
def test_concat_tz_series(self):
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