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/tslibs/test_libfrequencies.py

29 lines
769 B

import pytest
from pandas._libs.tslibs.parsing import get_rule_month
from pandas.tseries import offsets
@pytest.mark.parametrize(
"obj,expected",
[
("W", "DEC"),
(offsets.Week().freqstr, "DEC"),
("D", "DEC"),
(offsets.Day().freqstr, "DEC"),
("Q", "DEC"),
(offsets.QuarterEnd(startingMonth=12).freqstr, "DEC"),
("Q-JAN", "JAN"),
(offsets.QuarterEnd(startingMonth=1).freqstr, "JAN"),
("A-DEC", "DEC"),
("Y-DEC", "DEC"),
(offsets.YearEnd().freqstr, "DEC"),
("A-MAY", "MAY"),
("Y-MAY", "MAY"),
(offsets.YearEnd(month=5).freqstr, "MAY"),
],
)
def test_get_rule_month(obj, expected):
result = get_rule_month(obj)
assert result == expected