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TST: regression test for groupby with datetime and timedelta (#15562) #29063

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Oct 19, 2019
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TST: regression test for groupby with datetime and timedelta (#15562) #29063

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27 changes: 27 additions & 0 deletions pandas/tests/groupby/test_apply.py
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Original file line number Diff line number Diff line change
Expand Up @@ -543,6 +543,33 @@ def predictions(tool):
tm.assert_series_equal(expected, result)


def test_apply_aggregating_timedelta_and_datetime():
# Regression test for GH 15562
# The following groupby caused ValueErrors and IndexErrors pre 0.20.0

df = pd.DataFrame(
{
"clientid": ["A", "B", "C"],
"datetime": [np.datetime64("2017-02-01 00:00:00")] * 3,
}
)
df["time_delta_zero"] = df.datetime - df.datetime
result = df.groupby("clientid").apply(
lambda ddf: pd.Series(
dict(clientid_age=ddf.time_delta_zero.min(), date=ddf.datetime.min())
)
)
expected = pd.DataFrame(
{
"clientid": ["A", "B", "C"],
"clientid_age": [np.timedelta64(0, "D")] * 3,
"date": [np.datetime64("2017-02-01 00:00:00")] * 3,
}
).set_index("clientid")

tm.assert_frame_equal(result, expected)


def test_time_field_bug():
# Test a fix for the following error related to GH issue 11324 When
# non-key fields in a group-by dataframe contained time-based fields
Expand Down