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- from datetime import datetime
- from pandas import DatetimeIndex
- import pandas._testing as tm
- from pandas.tseries.holiday import (
- AbstractHolidayCalendar,
- USFederalHolidayCalendar,
- USMartinLutherKingJr,
- USMemorialDay,
- )
- def test_no_mlk_before_1986():
- # see gh-10278
- class MLKCalendar(AbstractHolidayCalendar):
- rules = [USMartinLutherKingJr]
- holidays = MLKCalendar().holidays(start="1984", end="1988").to_pydatetime().tolist()
- # Testing to make sure holiday is not incorrectly observed before 1986.
- assert holidays == [datetime(1986, 1, 20, 0, 0), datetime(1987, 1, 19, 0, 0)]
- def test_memorial_day():
- class MemorialDay(AbstractHolidayCalendar):
- rules = [USMemorialDay]
- holidays = MemorialDay().holidays(start="1971", end="1980").to_pydatetime().tolist()
- # Fixes 5/31 error and checked manually against Wikipedia.
- assert holidays == [
- datetime(1971, 5, 31, 0, 0),
- datetime(1972, 5, 29, 0, 0),
- datetime(1973, 5, 28, 0, 0),
- datetime(1974, 5, 27, 0, 0),
- datetime(1975, 5, 26, 0, 0),
- datetime(1976, 5, 31, 0, 0),
- datetime(1977, 5, 30, 0, 0),
- datetime(1978, 5, 29, 0, 0),
- datetime(1979, 5, 28, 0, 0),
- ]
- def test_federal_holiday_inconsistent_returntype():
- # GH 49075 test case
- # Instantiate two calendars to rule out _cache
- cal1 = USFederalHolidayCalendar()
- cal2 = USFederalHolidayCalendar()
- results_2018 = cal1.holidays(start=datetime(2018, 8, 1), end=datetime(2018, 8, 31))
- results_2019 = cal2.holidays(start=datetime(2019, 8, 1), end=datetime(2019, 8, 31))
- expected_results = DatetimeIndex([], dtype="datetime64[ns]", freq=None)
- # Check against expected results to ensure both date
- # ranges generate expected results as per GH49075 submission
- tm.assert_index_equal(results_2018, expected_results)
- tm.assert_index_equal(results_2019, expected_results)
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