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TST: groupby of idxmax/min with mixed types #40795

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Merged
merged 10 commits into from
Apr 14, 2021
22 changes: 22 additions & 0 deletions pandas/tests/frame/test_reductions.py
Original file line number Diff line number Diff line change
Expand Up @@ -1025,6 +1025,28 @@ def test_idxmax_mixed_dtype(self):
expected = Series([0, 2, 1, 2], index=[1, 2, 3, 4])
tm.assert_series_equal(result, expected)

@pytest.mark.parametrize(
"op, expected_value",
[("idxmax", [0, 4]), ("idxmin", [0, 5])],
)
def test_idxmax_idxmin_convert_dtypes(self, op, expected_value):
# GH 40346
df = DataFrame(
{
"ID": [100, 100, 100, 200, 200, 200],
"value": [0, 0, 0, 1, 2, 0],
},
dtype="Int64",
)
df = df.groupby("ID")

result = getattr(df, op)()
expected = DataFrame(
{"value": expected_value},
index=Index([100, 200], dtype="object", name="ID"),
)
tm.assert_frame_equal(result, expected)

def test_idxmax_dt64_multicolumn_axis1(self):
dti = date_range("2016-01-01", periods=3)
df = DataFrame({3: dti, 4: dti[::-1]})
Expand Down