A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
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InfoLeaseExtract/venv/Lib/site-packages/pandas/tests/indexing/multiindex/test_datetime.py

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1.2 KiB

from datetime import datetime
import numpy as np
from pandas import (
DataFrame,
Index,
MultiIndex,
Period,
Series,
period_range,
to_datetime,
)
import pandas._testing as tm
def test_multiindex_period_datetime():
# GH4861, using datetime in period of multiindex raises exception
idx1 = Index(["a", "a", "a", "b", "b"])
idx2 = period_range("2012-01", periods=len(idx1), freq="M")
s = Series(np.random.randn(len(idx1)), [idx1, idx2])
# try Period as index
expected = s.iloc[0]
result = s.loc["a", Period("2012-01")]
assert result == expected
# try datetime as index
result = s.loc["a", datetime(2012, 1, 1)]
assert result == expected
def test_multiindex_datetime_columns():
# GH35015, using datetime as column indices raises exception
mi = MultiIndex.from_tuples(
[(to_datetime("02/29/2020"), to_datetime("03/01/2020"))], names=["a", "b"]
)
df = DataFrame([], columns=mi)
expected_df = DataFrame(
[],
columns=MultiIndex.from_arrays(
[[to_datetime("02/29/2020")], [to_datetime("03/01/2020")]], names=["a", "b"]
),
)
tm.assert_frame_equal(df, expected_df)