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Adding testcase for quartile performed on a timestamp column group by ( closes #33168 ) #47575

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Merged
merged 6 commits into from
Jul 3, 2022
Merged

Adding testcase for quartile performed on a timestamp column group by ( closes #33168 ) #47575

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testcase for #33168 Quantile function fails when performing groupby o…
dannyi96 Jul 1, 2022
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testcase for #33168 Quantile function fails when performing groupby o…
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testcase for #33168 code style changes
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testcase for #33168 code style changes
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testcase for #33168 code style changes
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testcase for #33168 addressing review comments
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35 changes: 35 additions & 0 deletions pandas/tests/groupby/test_quantile.py
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Original file line number Diff line number Diff line change
Expand Up @@ -343,3 +343,38 @@ def test_columns_groupby_quantile():
)

tm.assert_frame_equal(result, expected)


def test_timestamp_groupby_quantile():
# GH 33168
df = DataFrame(
{
"timestamp": pd.date_range(
start="2020-04-19 00:00:00", freq="1T", periods=100, tz="UTC"
).floor("1H"),
"category": list(range(1, 101)),
"value": list(range(101, 201)),
}
)

result = df.groupby("timestamp").quantile([0.2, 0.8])

expected = DataFrame(
[
{"category": 12.8, "value": 112.8},
{"category": 48.2, "value": 148.2},
{"category": 68.8, "value": 168.8},
{"category": 92.2, "value": 192.2},
],
index=pd.MultiIndex.from_tuples(
[
(pd.Timestamp("2020-04-19 00:00:00+00:00"), 0.2),
(pd.Timestamp("2020-04-19 00:00:00+00:00"), 0.8),
(pd.Timestamp("2020-04-19 01:00:00+00:00"), 0.2),
(pd.Timestamp("2020-04-19 01:00:00+00:00"), 0.8),
],
names=("timestamp", None),
),
)

tm.assert_frame_equal(result, expected)