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chore(deps): bump pandas >=2.0 (#24705)

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Co-authored-by: EugeneTorap <evgenykrutpro@gmail.com>
This commit is contained in:
Sebastian Liebscher
2023-07-20 20:04:17 +02:00
committed by GitHub
parent 05e724f3d7
commit 91e6f5cb9f
10 changed files with 33 additions and 34 deletions
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28
tests/unit_tests/pandas_postprocessing/test_rolling.py
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@@ -149,21 +149,21 @@ def test_rolling_after_pivot_with_single_metric():
sum_metric
country UK US
dttm
2019-01-01 5.0 6.0
2019-01-02 12.0 14.0
2019-01-01 5 6
2019-01-02 12 14
"""
flat_df = pp.flatten(rolling_df)
"""
dttm sum_metric, UK sum_metric, US
0 2019-01-01 5.0 6.0
1 2019-01-02 12.0 14.0
0 2019-01-01 5 6
1 2019-01-02 12 14
"""
assert flat_df.equals(
pd.DataFrame(
data={
"dttm": pd.to_datetime(["2019-01-01", "2019-01-02"]),
FLAT_COLUMN_SEPARATOR.join(["sum_metric", "UK"]): [5.0, 12.0],
FLAT_COLUMN_SEPARATOR.join(["sum_metric", "US"]): [6.0, 14.0],
FLAT_COLUMN_SEPARATOR.join(["sum_metric", "UK"]): [5, 12],
FLAT_COLUMN_SEPARATOR.join(["sum_metric", "US"]): [6, 14],
}
)
)
@@ -200,23 +200,23 @@ def test_rolling_after_pivot_with_multiple_metrics():
count_metric sum_metric
country UK US UK US
dttm
2019-01-01 1.0 2.0 5.0 6.0
2019-01-02 4.0 6.0 12.0 14.0
2019-01-01 1 2 5 6
2019-01-02 4 6 12 14
"""
flat_df = pp.flatten(rolling_df)
"""
dttm count_metric, UK count_metric, US sum_metric, UK sum_metric, US
0 2019-01-01 1.0 2.0 5.0 6.0
1 2019-01-02 4.0 6.0 12.0 14.0
0 2019-01-01 1 2 5 6
1 2019-01-02 4 6 12 14
"""
assert flat_df.equals(
pd.DataFrame(
data={
"dttm": pd.to_datetime(["2019-01-01", "2019-01-02"]),
FLAT_COLUMN_SEPARATOR.join(["count_metric", "UK"]): [1.0, 4.0],
FLAT_COLUMN_SEPARATOR.join(["count_metric", "US"]): [2.0, 6.0],
FLAT_COLUMN_SEPARATOR.join(["sum_metric", "UK"]): [5.0, 12.0],
FLAT_COLUMN_SEPARATOR.join(["sum_metric", "US"]): [6.0, 14.0],
FLAT_COLUMN_SEPARATOR.join(["count_metric", "UK"]): [1, 4],
FLAT_COLUMN_SEPARATOR.join(["count_metric", "US"]): [2, 6],
FLAT_COLUMN_SEPARATOR.join(["sum_metric", "UK"]): [5, 12],
FLAT_COLUMN_SEPARATOR.join(["sum_metric", "US"]): [6, 14],
}
)
)