1059 lines
35 KiB
Python
1059 lines
35 KiB
Python
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"""
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Tests of pandas.tseries.offsets
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"""
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from __future__ import annotations
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from datetime import (
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datetime,
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timedelta,
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)
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from typing import (
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Dict,
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List,
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Tuple,
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)
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import warnings
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import numpy as np
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import pytest
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from pandas._libs.tslibs import (
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NaT,
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Timestamp,
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conversion,
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timezones,
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)
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import pandas._libs.tslibs.offsets as liboffsets
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from pandas._libs.tslibs.offsets import (
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_get_offset,
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_offset_map,
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)
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from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
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from pandas.errors import PerformanceWarning
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from pandas import (
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DatetimeIndex,
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Series,
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date_range,
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)
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import pandas._testing as tm
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from pandas.tests.tseries.offsets.common import (
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Base,
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WeekDay,
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)
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import pandas.tseries.offsets as offsets
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from pandas.tseries.offsets import (
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FY5253,
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BaseOffset,
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BDay,
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BMonthEnd,
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BusinessHour,
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CustomBusinessDay,
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CustomBusinessHour,
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CustomBusinessMonthBegin,
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CustomBusinessMonthEnd,
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DateOffset,
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Easter,
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FY5253Quarter,
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LastWeekOfMonth,
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MonthBegin,
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Nano,
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Tick,
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Week,
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WeekOfMonth,
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)
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_ApplyCases = List[Tuple[BaseOffset, Dict[datetime, datetime]]]
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_ARITHMETIC_DATE_OFFSET = [
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"years",
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"months",
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"weeks",
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"days",
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"hours",
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"minutes",
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"seconds",
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"milliseconds",
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"microseconds",
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]
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class TestCommon(Base):
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# executed value created by Base._get_offset
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# are applied to 2011/01/01 09:00 (Saturday)
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# used for .apply and .rollforward
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expecteds = {
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"Day": Timestamp("2011-01-02 09:00:00"),
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"DateOffset": Timestamp("2011-01-02 09:00:00"),
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"BusinessDay": Timestamp("2011-01-03 09:00:00"),
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"CustomBusinessDay": Timestamp("2011-01-03 09:00:00"),
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"CustomBusinessMonthEnd": Timestamp("2011-01-31 09:00:00"),
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"CustomBusinessMonthBegin": Timestamp("2011-01-03 09:00:00"),
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"MonthBegin": Timestamp("2011-02-01 09:00:00"),
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"BusinessMonthBegin": Timestamp("2011-01-03 09:00:00"),
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"MonthEnd": Timestamp("2011-01-31 09:00:00"),
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"SemiMonthEnd": Timestamp("2011-01-15 09:00:00"),
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"SemiMonthBegin": Timestamp("2011-01-15 09:00:00"),
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"BusinessMonthEnd": Timestamp("2011-01-31 09:00:00"),
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"YearBegin": Timestamp("2012-01-01 09:00:00"),
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"BYearBegin": Timestamp("2011-01-03 09:00:00"),
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"YearEnd": Timestamp("2011-12-31 09:00:00"),
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"BYearEnd": Timestamp("2011-12-30 09:00:00"),
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"QuarterBegin": Timestamp("2011-03-01 09:00:00"),
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"BQuarterBegin": Timestamp("2011-03-01 09:00:00"),
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"QuarterEnd": Timestamp("2011-03-31 09:00:00"),
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"BQuarterEnd": Timestamp("2011-03-31 09:00:00"),
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"BusinessHour": Timestamp("2011-01-03 10:00:00"),
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"CustomBusinessHour": Timestamp("2011-01-03 10:00:00"),
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"WeekOfMonth": Timestamp("2011-01-08 09:00:00"),
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"LastWeekOfMonth": Timestamp("2011-01-29 09:00:00"),
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"FY5253Quarter": Timestamp("2011-01-25 09:00:00"),
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"FY5253": Timestamp("2011-01-25 09:00:00"),
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"Week": Timestamp("2011-01-08 09:00:00"),
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"Easter": Timestamp("2011-04-24 09:00:00"),
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"Hour": Timestamp("2011-01-01 10:00:00"),
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"Minute": Timestamp("2011-01-01 09:01:00"),
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"Second": Timestamp("2011-01-01 09:00:01"),
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"Milli": Timestamp("2011-01-01 09:00:00.001000"),
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"Micro": Timestamp("2011-01-01 09:00:00.000001"),
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"Nano": Timestamp("2011-01-01T09:00:00.000000001"),
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}
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def test_immutable(self, offset_types):
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# GH#21341 check that __setattr__ raises
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offset = self._get_offset(offset_types)
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msg = "objects is not writable|DateOffset objects are immutable"
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with pytest.raises(AttributeError, match=msg):
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offset.normalize = True
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with pytest.raises(AttributeError, match=msg):
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offset.n = 91
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def test_return_type(self, offset_types):
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offset = self._get_offset(offset_types)
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# make sure that we are returning a Timestamp
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result = Timestamp("20080101") + offset
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assert isinstance(result, Timestamp)
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# make sure that we are returning NaT
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assert NaT + offset is NaT
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assert offset + NaT is NaT
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assert NaT - offset is NaT
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assert (-offset)._apply(NaT) is NaT
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def test_offset_n(self, offset_types):
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offset = self._get_offset(offset_types)
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assert offset.n == 1
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neg_offset = offset * -1
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assert neg_offset.n == -1
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mul_offset = offset * 3
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assert mul_offset.n == 3
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def test_offset_timedelta64_arg(self, offset_types):
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# check that offset._validate_n raises TypeError on a timedelt64
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# object
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off = self._get_offset(offset_types)
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td64 = np.timedelta64(4567, "s")
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with pytest.raises(TypeError, match="argument must be an integer"):
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type(off)(n=td64, **off.kwds)
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def test_offset_mul_ndarray(self, offset_types):
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off = self._get_offset(offset_types)
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expected = np.array([[off, off * 2], [off * 3, off * 4]])
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result = np.array([[1, 2], [3, 4]]) * off
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tm.assert_numpy_array_equal(result, expected)
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result = off * np.array([[1, 2], [3, 4]])
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tm.assert_numpy_array_equal(result, expected)
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def test_offset_freqstr(self, offset_types):
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offset = self._get_offset(offset_types)
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freqstr = offset.freqstr
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if freqstr not in ("<Easter>", "<DateOffset: days=1>", "LWOM-SAT"):
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code = _get_offset(freqstr)
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assert offset.rule_code == code
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def _check_offsetfunc_works(self, offset, funcname, dt, expected, normalize=False):
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if normalize and issubclass(offset, Tick):
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# normalize=True disallowed for Tick subclasses GH#21427
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return
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offset_s = self._get_offset(offset, normalize=normalize)
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func = getattr(offset_s, funcname)
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result = func(dt)
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assert isinstance(result, Timestamp)
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assert result == expected
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result = func(Timestamp(dt))
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assert isinstance(result, Timestamp)
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assert result == expected
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# see gh-14101
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exp_warning = None
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ts = Timestamp(dt) + Nano(5)
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if (
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type(offset_s).__name__ == "DateOffset"
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and (funcname in ["apply", "_apply"] or normalize)
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and ts.nanosecond > 0
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):
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exp_warning = UserWarning
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# test nanosecond is preserved
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with tm.assert_produces_warning(exp_warning):
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result = func(ts)
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if exp_warning is None and funcname == "_apply":
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# GH#44522
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# Check in this particular case to avoid headaches with
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# testing for multiple warnings produced by the same call.
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with tm.assert_produces_warning(FutureWarning, match="apply is deprecated"):
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res2 = offset_s.apply(ts)
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assert type(res2) is type(result)
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assert res2 == result
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assert isinstance(result, Timestamp)
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if normalize is False:
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assert result == expected + Nano(5)
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else:
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assert result == expected
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if isinstance(dt, np.datetime64):
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# test tz when input is datetime or Timestamp
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return
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for tz in self.timezones:
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expected_localize = expected.tz_localize(tz)
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tz_obj = timezones.maybe_get_tz(tz)
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dt_tz = conversion.localize_pydatetime(dt, tz_obj)
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result = func(dt_tz)
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assert isinstance(result, Timestamp)
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assert result == expected_localize
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result = func(Timestamp(dt, tz=tz))
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assert isinstance(result, Timestamp)
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assert result == expected_localize
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# see gh-14101
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exp_warning = None
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ts = Timestamp(dt, tz=tz) + Nano(5)
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if (
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type(offset_s).__name__ == "DateOffset"
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and (funcname in ["apply", "_apply"] or normalize)
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and ts.nanosecond > 0
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):
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exp_warning = UserWarning
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# test nanosecond is preserved
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with tm.assert_produces_warning(exp_warning):
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result = func(ts)
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assert isinstance(result, Timestamp)
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if normalize is False:
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assert result == expected_localize + Nano(5)
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else:
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assert result == expected_localize
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def test_apply(self, offset_types):
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sdt = datetime(2011, 1, 1, 9, 0)
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ndt = np.datetime64("2011-01-01 09:00")
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expected = self.expecteds[offset_types.__name__]
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expected_norm = Timestamp(expected.date())
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for dt in [sdt, ndt]:
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self._check_offsetfunc_works(offset_types, "_apply", dt, expected)
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self._check_offsetfunc_works(
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offset_types, "_apply", dt, expected_norm, normalize=True
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)
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def test_rollforward(self, offset_types):
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expecteds = self.expecteds.copy()
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# result will not be changed if the target is on the offset
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no_changes = [
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"Day",
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"MonthBegin",
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"SemiMonthBegin",
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"YearBegin",
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"Week",
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"Hour",
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"Minute",
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"Second",
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"Milli",
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"Micro",
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"Nano",
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"DateOffset",
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]
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for n in no_changes:
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expecteds[n] = Timestamp("2011/01/01 09:00")
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expecteds["BusinessHour"] = Timestamp("2011-01-03 09:00:00")
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expecteds["CustomBusinessHour"] = Timestamp("2011-01-03 09:00:00")
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# but be changed when normalize=True
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norm_expected = expecteds.copy()
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for k in norm_expected:
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norm_expected[k] = Timestamp(norm_expected[k].date())
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normalized = {
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"Day": Timestamp("2011-01-02 00:00:00"),
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"DateOffset": Timestamp("2011-01-02 00:00:00"),
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"MonthBegin": Timestamp("2011-02-01 00:00:00"),
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"SemiMonthBegin": Timestamp("2011-01-15 00:00:00"),
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"YearBegin": Timestamp("2012-01-01 00:00:00"),
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"Week": Timestamp("2011-01-08 00:00:00"),
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"Hour": Timestamp("2011-01-01 00:00:00"),
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"Minute": Timestamp("2011-01-01 00:00:00"),
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"Second": Timestamp("2011-01-01 00:00:00"),
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"Milli": Timestamp("2011-01-01 00:00:00"),
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"Micro": Timestamp("2011-01-01 00:00:00"),
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}
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norm_expected.update(normalized)
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sdt = datetime(2011, 1, 1, 9, 0)
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ndt = np.datetime64("2011-01-01 09:00")
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for dt in [sdt, ndt]:
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expected = expecteds[offset_types.__name__]
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self._check_offsetfunc_works(offset_types, "rollforward", dt, expected)
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expected = norm_expected[offset_types.__name__]
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self._check_offsetfunc_works(
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offset_types, "rollforward", dt, expected, normalize=True
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)
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def test_rollback(self, offset_types):
|
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expecteds = {
|
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"BusinessDay": Timestamp("2010-12-31 09:00:00"),
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|
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"CustomBusinessDay": Timestamp("2010-12-31 09:00:00"),
|
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|
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"CustomBusinessMonthEnd": Timestamp("2010-12-31 09:00:00"),
|
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|
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"CustomBusinessMonthBegin": Timestamp("2010-12-01 09:00:00"),
|
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"BusinessMonthBegin": Timestamp("2010-12-01 09:00:00"),
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"MonthEnd": Timestamp("2010-12-31 09:00:00"),
|
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"SemiMonthEnd": Timestamp("2010-12-31 09:00:00"),
|
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|
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"BusinessMonthEnd": Timestamp("2010-12-31 09:00:00"),
|
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|
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"BYearBegin": Timestamp("2010-01-01 09:00:00"),
|
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"YearEnd": Timestamp("2010-12-31 09:00:00"),
|
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|
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"BYearEnd": Timestamp("2010-12-31 09:00:00"),
|
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"QuarterBegin": Timestamp("2010-12-01 09:00:00"),
|
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"BQuarterBegin": Timestamp("2010-12-01 09:00:00"),
|
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|
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"QuarterEnd": Timestamp("2010-12-31 09:00:00"),
|
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|
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"BQuarterEnd": Timestamp("2010-12-31 09:00:00"),
|
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"BusinessHour": Timestamp("2010-12-31 17:00:00"),
|
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|
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"CustomBusinessHour": Timestamp("2010-12-31 17:00:00"),
|
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|
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"WeekOfMonth": Timestamp("2010-12-11 09:00:00"),
|
||
|
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"LastWeekOfMonth": Timestamp("2010-12-25 09:00:00"),
|
||
|
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"FY5253Quarter": Timestamp("2010-10-26 09:00:00"),
|
||
|
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"FY5253": Timestamp("2010-01-26 09:00:00"),
|
||
|
|
"Easter": Timestamp("2010-04-04 09:00:00"),
|
||
|
|
}
|
||
|
|
|
||
|
|
# result will not be changed if the target is on the offset
|
||
|
|
for n in [
|
||
|
|
"Day",
|
||
|
|
"MonthBegin",
|
||
|
|
"SemiMonthBegin",
|
||
|
|
"YearBegin",
|
||
|
|
"Week",
|
||
|
|
"Hour",
|
||
|
|
"Minute",
|
||
|
|
"Second",
|
||
|
|
"Milli",
|
||
|
|
"Micro",
|
||
|
|
"Nano",
|
||
|
|
"DateOffset",
|
||
|
|
]:
|
||
|
|
expecteds[n] = Timestamp("2011/01/01 09:00")
|
||
|
|
|
||
|
|
# but be changed when normalize=True
|
||
|
|
norm_expected = expecteds.copy()
|
||
|
|
for k in norm_expected:
|
||
|
|
norm_expected[k] = Timestamp(norm_expected[k].date())
|
||
|
|
|
||
|
|
normalized = {
|
||
|
|
"Day": Timestamp("2010-12-31 00:00:00"),
|
||
|
|
"DateOffset": Timestamp("2010-12-31 00:00:00"),
|
||
|
|
"MonthBegin": Timestamp("2010-12-01 00:00:00"),
|
||
|
|
"SemiMonthBegin": Timestamp("2010-12-15 00:00:00"),
|
||
|
|
"YearBegin": Timestamp("2010-01-01 00:00:00"),
|
||
|
|
"Week": Timestamp("2010-12-25 00:00:00"),
|
||
|
|
"Hour": Timestamp("2011-01-01 00:00:00"),
|
||
|
|
"Minute": Timestamp("2011-01-01 00:00:00"),
|
||
|
|
"Second": Timestamp("2011-01-01 00:00:00"),
|
||
|
|
"Milli": Timestamp("2011-01-01 00:00:00"),
|
||
|
|
"Micro": Timestamp("2011-01-01 00:00:00"),
|
||
|
|
}
|
||
|
|
norm_expected.update(normalized)
|
||
|
|
|
||
|
|
sdt = datetime(2011, 1, 1, 9, 0)
|
||
|
|
ndt = np.datetime64("2011-01-01 09:00")
|
||
|
|
|
||
|
|
for dt in [sdt, ndt]:
|
||
|
|
expected = expecteds[offset_types.__name__]
|
||
|
|
self._check_offsetfunc_works(offset_types, "rollback", dt, expected)
|
||
|
|
|
||
|
|
expected = norm_expected[offset_types.__name__]
|
||
|
|
self._check_offsetfunc_works(
|
||
|
|
offset_types, "rollback", dt, expected, normalize=True
|
||
|
|
)
|
||
|
|
|
||
|
|
def test_is_on_offset(self, offset_types):
|
||
|
|
dt = self.expecteds[offset_types.__name__]
|
||
|
|
offset_s = self._get_offset(offset_types)
|
||
|
|
assert offset_s.is_on_offset(dt)
|
||
|
|
|
||
|
|
# when normalize=True, is_on_offset checks time is 00:00:00
|
||
|
|
if issubclass(offset_types, Tick):
|
||
|
|
# normalize=True disallowed for Tick subclasses GH#21427
|
||
|
|
return
|
||
|
|
offset_n = self._get_offset(offset_types, normalize=True)
|
||
|
|
assert not offset_n.is_on_offset(dt)
|
||
|
|
|
||
|
|
if offset_types in (BusinessHour, CustomBusinessHour):
|
||
|
|
# In default BusinessHour (9:00-17:00), normalized time
|
||
|
|
# cannot be in business hour range
|
||
|
|
return
|
||
|
|
date = datetime(dt.year, dt.month, dt.day)
|
||
|
|
assert offset_n.is_on_offset(date)
|
||
|
|
|
||
|
|
def test_add(self, offset_types, tz_naive_fixture):
|
||
|
|
tz = tz_naive_fixture
|
||
|
|
dt = datetime(2011, 1, 1, 9, 0)
|
||
|
|
|
||
|
|
offset_s = self._get_offset(offset_types)
|
||
|
|
expected = self.expecteds[offset_types.__name__]
|
||
|
|
|
||
|
|
result_dt = dt + offset_s
|
||
|
|
result_ts = Timestamp(dt) + offset_s
|
||
|
|
for result in [result_dt, result_ts]:
|
||
|
|
assert isinstance(result, Timestamp)
|
||
|
|
assert result == expected
|
||
|
|
|
||
|
|
expected_localize = expected.tz_localize(tz)
|
||
|
|
result = Timestamp(dt, tz=tz) + offset_s
|
||
|
|
assert isinstance(result, Timestamp)
|
||
|
|
assert result == expected_localize
|
||
|
|
|
||
|
|
# normalize=True, disallowed for Tick subclasses GH#21427
|
||
|
|
if issubclass(offset_types, Tick):
|
||
|
|
return
|
||
|
|
offset_s = self._get_offset(offset_types, normalize=True)
|
||
|
|
expected = Timestamp(expected.date())
|
||
|
|
|
||
|
|
result_dt = dt + offset_s
|
||
|
|
result_ts = Timestamp(dt) + offset_s
|
||
|
|
for result in [result_dt, result_ts]:
|
||
|
|
assert isinstance(result, Timestamp)
|
||
|
|
assert result == expected
|
||
|
|
|
||
|
|
expected_localize = expected.tz_localize(tz)
|
||
|
|
result = Timestamp(dt, tz=tz) + offset_s
|
||
|
|
assert isinstance(result, Timestamp)
|
||
|
|
assert result == expected_localize
|
||
|
|
|
||
|
|
def test_add_empty_datetimeindex(self, offset_types, tz_naive_fixture):
|
||
|
|
# GH#12724, GH#30336
|
||
|
|
offset_s = self._get_offset(offset_types)
|
||
|
|
|
||
|
|
dti = DatetimeIndex([], tz=tz_naive_fixture)
|
||
|
|
|
||
|
|
warn = None
|
||
|
|
if isinstance(
|
||
|
|
offset_s,
|
||
|
|
(
|
||
|
|
Easter,
|
||
|
|
WeekOfMonth,
|
||
|
|
LastWeekOfMonth,
|
||
|
|
CustomBusinessDay,
|
||
|
|
BusinessHour,
|
||
|
|
CustomBusinessHour,
|
||
|
|
CustomBusinessMonthBegin,
|
||
|
|
CustomBusinessMonthEnd,
|
||
|
|
FY5253,
|
||
|
|
FY5253Quarter,
|
||
|
|
),
|
||
|
|
):
|
||
|
|
# We don't have an optimized apply_index
|
||
|
|
warn = PerformanceWarning
|
||
|
|
|
||
|
|
with tm.assert_produces_warning(warn):
|
||
|
|
result = dti + offset_s
|
||
|
|
tm.assert_index_equal(result, dti)
|
||
|
|
with tm.assert_produces_warning(warn):
|
||
|
|
result = offset_s + dti
|
||
|
|
tm.assert_index_equal(result, dti)
|
||
|
|
|
||
|
|
dta = dti._data
|
||
|
|
with tm.assert_produces_warning(warn):
|
||
|
|
result = dta + offset_s
|
||
|
|
tm.assert_equal(result, dta)
|
||
|
|
with tm.assert_produces_warning(warn):
|
||
|
|
result = offset_s + dta
|
||
|
|
tm.assert_equal(result, dta)
|
||
|
|
|
||
|
|
def test_pickle_roundtrip(self, offset_types):
|
||
|
|
off = self._get_offset(offset_types)
|
||
|
|
res = tm.round_trip_pickle(off)
|
||
|
|
assert off == res
|
||
|
|
if type(off) is not DateOffset:
|
||
|
|
for attr in off._attributes:
|
||
|
|
if attr == "calendar":
|
||
|
|
# np.busdaycalendar __eq__ will return False;
|
||
|
|
# we check holidays and weekmask attrs so are OK
|
||
|
|
continue
|
||
|
|
# Make sure nothings got lost from _params (which __eq__) is based on
|
||
|
|
assert getattr(off, attr) == getattr(res, attr)
|
||
|
|
|
||
|
|
def test_pickle_dateoffset_odd_inputs(self):
|
||
|
|
# GH#34511
|
||
|
|
off = DateOffset(months=12)
|
||
|
|
res = tm.round_trip_pickle(off)
|
||
|
|
assert off == res
|
||
|
|
|
||
|
|
base_dt = datetime(2020, 1, 1)
|
||
|
|
assert base_dt + off == base_dt + res
|
||
|
|
|
||
|
|
def test_onOffset_deprecated(self, offset_types, fixed_now_ts):
|
||
|
|
# GH#30340 use idiomatic naming
|
||
|
|
off = self._get_offset(offset_types)
|
||
|
|
|
||
|
|
ts = fixed_now_ts
|
||
|
|
with tm.assert_produces_warning(FutureWarning):
|
||
|
|
result = off.onOffset(ts)
|
||
|
|
|
||
|
|
expected = off.is_on_offset(ts)
|
||
|
|
assert result == expected
|
||
|
|
|
||
|
|
def test_isAnchored_deprecated(self, offset_types):
|
||
|
|
# GH#30340 use idiomatic naming
|
||
|
|
off = self._get_offset(offset_types)
|
||
|
|
|
||
|
|
with tm.assert_produces_warning(FutureWarning):
|
||
|
|
result = off.isAnchored()
|
||
|
|
|
||
|
|
expected = off.is_anchored()
|
||
|
|
assert result == expected
|
||
|
|
|
||
|
|
def test_offsets_hashable(self, offset_types):
|
||
|
|
# GH: 37267
|
||
|
|
off = self._get_offset(offset_types)
|
||
|
|
assert hash(off) is not None
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("unit", ["s", "ms", "us"])
|
||
|
|
def test_add_dt64_ndarray_non_nano(self, offset_types, unit, request):
|
||
|
|
# check that the result with non-nano matches nano
|
||
|
|
off = self._get_offset(offset_types)
|
||
|
|
|
||
|
|
dti = date_range("2016-01-01", periods=35, freq="D")
|
||
|
|
|
||
|
|
arr = dti._data._ndarray.astype(f"M8[{unit}]")
|
||
|
|
dta = type(dti._data)._simple_new(arr, dtype=arr.dtype)
|
||
|
|
|
||
|
|
with warnings.catch_warnings(record=True) as w:
|
||
|
|
expected = dti._data + off
|
||
|
|
result = dta + off
|
||
|
|
|
||
|
|
if len(w):
|
||
|
|
# PerformanceWarning was issued bc _apply_array raised, so we
|
||
|
|
# fell back to object dtype, for which the code path does
|
||
|
|
# not yet cast back to the original resolution
|
||
|
|
mark = pytest.mark.xfail(
|
||
|
|
reason="Goes through object dtype in DatetimeArray._add_offset, "
|
||
|
|
"doesn't restore reso in result"
|
||
|
|
)
|
||
|
|
request.node.add_marker(mark)
|
||
|
|
|
||
|
|
tm.assert_numpy_array_equal(
|
||
|
|
result._ndarray, expected._ndarray.astype(arr.dtype)
|
||
|
|
)
|
||
|
|
|
||
|
|
|
||
|
|
class TestDateOffset(Base):
|
||
|
|
def setup_method(self):
|
||
|
|
self.d = Timestamp(datetime(2008, 1, 2))
|
||
|
|
_offset_map.clear()
|
||
|
|
|
||
|
|
def test_repr(self):
|
||
|
|
repr(DateOffset())
|
||
|
|
repr(DateOffset(2))
|
||
|
|
repr(2 * DateOffset())
|
||
|
|
repr(2 * DateOffset(months=2))
|
||
|
|
|
||
|
|
def test_mul(self):
|
||
|
|
assert DateOffset(2) == 2 * DateOffset(1)
|
||
|
|
assert DateOffset(2) == DateOffset(1) * 2
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("kwd", sorted(liboffsets._relativedelta_kwds))
|
||
|
|
def test_constructor(self, kwd, request):
|
||
|
|
if kwd == "millisecond":
|
||
|
|
request.node.add_marker(
|
||
|
|
pytest.mark.xfail(
|
||
|
|
raises=NotImplementedError,
|
||
|
|
reason="Constructing DateOffset object with `millisecond` is not "
|
||
|
|
"yet supported.",
|
||
|
|
)
|
||
|
|
)
|
||
|
|
offset = DateOffset(**{kwd: 2})
|
||
|
|
assert offset.kwds == {kwd: 2}
|
||
|
|
assert getattr(offset, kwd) == 2
|
||
|
|
|
||
|
|
def test_default_constructor(self):
|
||
|
|
assert (self.d + DateOffset(2)) == datetime(2008, 1, 4)
|
||
|
|
|
||
|
|
def test_is_anchored(self):
|
||
|
|
assert not DateOffset(2).is_anchored()
|
||
|
|
assert DateOffset(1).is_anchored()
|
||
|
|
|
||
|
|
def test_copy(self):
|
||
|
|
assert DateOffset(months=2).copy() == DateOffset(months=2)
|
||
|
|
assert DateOffset(milliseconds=1).copy() == DateOffset(milliseconds=1)
|
||
|
|
|
||
|
|
@pytest.mark.parametrize(
|
||
|
|
"arithmatic_offset_type, expected",
|
||
|
|
zip(
|
||
|
|
_ARITHMETIC_DATE_OFFSET,
|
||
|
|
[
|
||
|
|
"2009-01-02",
|
||
|
|
"2008-02-02",
|
||
|
|
"2008-01-09",
|
||
|
|
"2008-01-03",
|
||
|
|
"2008-01-02 01:00:00",
|
||
|
|
"2008-01-02 00:01:00",
|
||
|
|
"2008-01-02 00:00:01",
|
||
|
|
"2008-01-02 00:00:00.001000000",
|
||
|
|
"2008-01-02 00:00:00.000001000",
|
||
|
|
],
|
||
|
|
),
|
||
|
|
)
|
||
|
|
def test_add(self, arithmatic_offset_type, expected):
|
||
|
|
assert DateOffset(**{arithmatic_offset_type: 1}) + self.d == Timestamp(expected)
|
||
|
|
assert self.d + DateOffset(**{arithmatic_offset_type: 1}) == Timestamp(expected)
|
||
|
|
|
||
|
|
@pytest.mark.parametrize(
|
||
|
|
"arithmatic_offset_type, expected",
|
||
|
|
zip(
|
||
|
|
_ARITHMETIC_DATE_OFFSET,
|
||
|
|
[
|
||
|
|
"2007-01-02",
|
||
|
|
"2007-12-02",
|
||
|
|
"2007-12-26",
|
||
|
|
"2008-01-01",
|
||
|
|
"2008-01-01 23:00:00",
|
||
|
|
"2008-01-01 23:59:00",
|
||
|
|
"2008-01-01 23:59:59",
|
||
|
|
"2008-01-01 23:59:59.999000000",
|
||
|
|
"2008-01-01 23:59:59.999999000",
|
||
|
|
],
|
||
|
|
),
|
||
|
|
)
|
||
|
|
def test_sub(self, arithmatic_offset_type, expected):
|
||
|
|
assert self.d - DateOffset(**{arithmatic_offset_type: 1}) == Timestamp(expected)
|
||
|
|
with pytest.raises(TypeError, match="Cannot subtract datetime from offset"):
|
||
|
|
DateOffset(**{arithmatic_offset_type: 1}) - self.d
|
||
|
|
|
||
|
|
@pytest.mark.parametrize(
|
||
|
|
"arithmatic_offset_type, n, expected",
|
||
|
|
zip(
|
||
|
|
_ARITHMETIC_DATE_OFFSET,
|
||
|
|
range(1, 10),
|
||
|
|
[
|
||
|
|
"2009-01-02",
|
||
|
|
"2008-03-02",
|
||
|
|
"2008-01-23",
|
||
|
|
"2008-01-06",
|
||
|
|
"2008-01-02 05:00:00",
|
||
|
|
"2008-01-02 00:06:00",
|
||
|
|
"2008-01-02 00:00:07",
|
||
|
|
"2008-01-02 00:00:00.008000000",
|
||
|
|
"2008-01-02 00:00:00.000009000",
|
||
|
|
],
|
||
|
|
),
|
||
|
|
)
|
||
|
|
def test_mul_add(self, arithmatic_offset_type, n, expected):
|
||
|
|
assert DateOffset(**{arithmatic_offset_type: 1}) * n + self.d == Timestamp(
|
||
|
|
expected
|
||
|
|
)
|
||
|
|
assert n * DateOffset(**{arithmatic_offset_type: 1}) + self.d == Timestamp(
|
||
|
|
expected
|
||
|
|
)
|
||
|
|
assert self.d + DateOffset(**{arithmatic_offset_type: 1}) * n == Timestamp(
|
||
|
|
expected
|
||
|
|
)
|
||
|
|
assert self.d + n * DateOffset(**{arithmatic_offset_type: 1}) == Timestamp(
|
||
|
|
expected
|
||
|
|
)
|
||
|
|
|
||
|
|
@pytest.mark.parametrize(
|
||
|
|
"arithmatic_offset_type, n, expected",
|
||
|
|
zip(
|
||
|
|
_ARITHMETIC_DATE_OFFSET,
|
||
|
|
range(1, 10),
|
||
|
|
[
|
||
|
|
"2007-01-02",
|
||
|
|
"2007-11-02",
|
||
|
|
"2007-12-12",
|
||
|
|
"2007-12-29",
|
||
|
|
"2008-01-01 19:00:00",
|
||
|
|
"2008-01-01 23:54:00",
|
||
|
|
"2008-01-01 23:59:53",
|
||
|
|
"2008-01-01 23:59:59.992000000",
|
||
|
|
"2008-01-01 23:59:59.999991000",
|
||
|
|
],
|
||
|
|
),
|
||
|
|
)
|
||
|
|
def test_mul_sub(self, arithmatic_offset_type, n, expected):
|
||
|
|
assert self.d - DateOffset(**{arithmatic_offset_type: 1}) * n == Timestamp(
|
||
|
|
expected
|
||
|
|
)
|
||
|
|
assert self.d - n * DateOffset(**{arithmatic_offset_type: 1}) == Timestamp(
|
||
|
|
expected
|
||
|
|
)
|
||
|
|
|
||
|
|
def test_leap_year(self):
|
||
|
|
d = datetime(2008, 1, 31)
|
||
|
|
assert (d + DateOffset(months=1)) == datetime(2008, 2, 29)
|
||
|
|
|
||
|
|
def test_eq(self):
|
||
|
|
offset1 = DateOffset(days=1)
|
||
|
|
offset2 = DateOffset(days=365)
|
||
|
|
|
||
|
|
assert offset1 != offset2
|
||
|
|
|
||
|
|
assert DateOffset(milliseconds=3) != DateOffset(milliseconds=7)
|
||
|
|
|
||
|
|
|
||
|
|
class TestOffsetNames:
|
||
|
|
def test_get_offset_name(self):
|
||
|
|
assert BDay().freqstr == "B"
|
||
|
|
assert BDay(2).freqstr == "2B"
|
||
|
|
assert BMonthEnd().freqstr == "BM"
|
||
|
|
assert Week(weekday=0).freqstr == "W-MON"
|
||
|
|
assert Week(weekday=1).freqstr == "W-TUE"
|
||
|
|
assert Week(weekday=2).freqstr == "W-WED"
|
||
|
|
assert Week(weekday=3).freqstr == "W-THU"
|
||
|
|
assert Week(weekday=4).freqstr == "W-FRI"
|
||
|
|
|
||
|
|
assert LastWeekOfMonth(weekday=WeekDay.SUN).freqstr == "LWOM-SUN"
|
||
|
|
|
||
|
|
|
||
|
|
def test_get_offset():
|
||
|
|
with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG):
|
||
|
|
_get_offset("gibberish")
|
||
|
|
with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG):
|
||
|
|
_get_offset("QS-JAN-B")
|
||
|
|
|
||
|
|
pairs = [
|
||
|
|
("B", BDay()),
|
||
|
|
("b", BDay()),
|
||
|
|
("bm", BMonthEnd()),
|
||
|
|
("Bm", BMonthEnd()),
|
||
|
|
("W-MON", Week(weekday=0)),
|
||
|
|
("W-TUE", Week(weekday=1)),
|
||
|
|
("W-WED", Week(weekday=2)),
|
||
|
|
("W-THU", Week(weekday=3)),
|
||
|
|
("W-FRI", Week(weekday=4)),
|
||
|
|
]
|
||
|
|
|
||
|
|
for name, expected in pairs:
|
||
|
|
offset = _get_offset(name)
|
||
|
|
assert offset == expected, (
|
||
|
|
f"Expected {repr(name)} to yield {repr(expected)} "
|
||
|
|
f"(actual: {repr(offset)})"
|
||
|
|
)
|
||
|
|
|
||
|
|
|
||
|
|
def test_get_offset_legacy():
|
||
|
|
pairs = [("w@Sat", Week(weekday=5))]
|
||
|
|
for name, expected in pairs:
|
||
|
|
with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG):
|
||
|
|
_get_offset(name)
|
||
|
|
|
||
|
|
|
||
|
|
class TestOffsetAliases:
|
||
|
|
def setup_method(self):
|
||
|
|
_offset_map.clear()
|
||
|
|
|
||
|
|
def test_alias_equality(self):
|
||
|
|
for k, v in _offset_map.items():
|
||
|
|
if v is None:
|
||
|
|
continue
|
||
|
|
assert k == v.copy()
|
||
|
|
|
||
|
|
def test_rule_code(self):
|
||
|
|
lst = ["M", "MS", "BM", "BMS", "D", "B", "H", "T", "S", "L", "U"]
|
||
|
|
for k in lst:
|
||
|
|
assert k == _get_offset(k).rule_code
|
||
|
|
# should be cached - this is kind of an internals test...
|
||
|
|
assert k in _offset_map
|
||
|
|
assert k == (_get_offset(k) * 3).rule_code
|
||
|
|
|
||
|
|
suffix_lst = ["MON", "TUE", "WED", "THU", "FRI", "SAT", "SUN"]
|
||
|
|
base = "W"
|
||
|
|
for v in suffix_lst:
|
||
|
|
alias = "-".join([base, v])
|
||
|
|
assert alias == _get_offset(alias).rule_code
|
||
|
|
assert alias == (_get_offset(alias) * 5).rule_code
|
||
|
|
|
||
|
|
suffix_lst = [
|
||
|
|
"JAN",
|
||
|
|
"FEB",
|
||
|
|
"MAR",
|
||
|
|
"APR",
|
||
|
|
"MAY",
|
||
|
|
"JUN",
|
||
|
|
"JUL",
|
||
|
|
"AUG",
|
||
|
|
"SEP",
|
||
|
|
"OCT",
|
||
|
|
"NOV",
|
||
|
|
"DEC",
|
||
|
|
]
|
||
|
|
base_lst = ["A", "AS", "BA", "BAS", "Q", "QS", "BQ", "BQS"]
|
||
|
|
for base in base_lst:
|
||
|
|
for v in suffix_lst:
|
||
|
|
alias = "-".join([base, v])
|
||
|
|
assert alias == _get_offset(alias).rule_code
|
||
|
|
assert alias == (_get_offset(alias) * 5).rule_code
|
||
|
|
|
||
|
|
|
||
|
|
def test_freq_offsets():
|
||
|
|
off = BDay(1, offset=timedelta(0, 1800))
|
||
|
|
assert off.freqstr == "B+30Min"
|
||
|
|
|
||
|
|
off = BDay(1, offset=timedelta(0, -1800))
|
||
|
|
assert off.freqstr == "B-30Min"
|
||
|
|
|
||
|
|
|
||
|
|
class TestReprNames:
|
||
|
|
def test_str_for_named_is_name(self):
|
||
|
|
# look at all the amazing combinations!
|
||
|
|
month_prefixes = ["A", "AS", "BA", "BAS", "Q", "BQ", "BQS", "QS"]
|
||
|
|
names = [
|
||
|
|
prefix + "-" + month
|
||
|
|
for prefix in month_prefixes
|
||
|
|
for month in [
|
||
|
|
"JAN",
|
||
|
|
"FEB",
|
||
|
|
"MAR",
|
||
|
|
"APR",
|
||
|
|
"MAY",
|
||
|
|
"JUN",
|
||
|
|
"JUL",
|
||
|
|
"AUG",
|
||
|
|
"SEP",
|
||
|
|
"OCT",
|
||
|
|
"NOV",
|
||
|
|
"DEC",
|
||
|
|
]
|
||
|
|
]
|
||
|
|
days = ["MON", "TUE", "WED", "THU", "FRI", "SAT", "SUN"]
|
||
|
|
names += ["W-" + day for day in days]
|
||
|
|
names += ["WOM-" + week + day for week in ("1", "2", "3", "4") for day in days]
|
||
|
|
_offset_map.clear()
|
||
|
|
for name in names:
|
||
|
|
offset = _get_offset(name)
|
||
|
|
assert offset.freqstr == name
|
||
|
|
|
||
|
|
|
||
|
|
def get_utc_offset_hours(ts):
|
||
|
|
# take a Timestamp and compute total hours of utc offset
|
||
|
|
o = ts.utcoffset()
|
||
|
|
return (o.days * 24 * 3600 + o.seconds) / 3600.0
|
||
|
|
|
||
|
|
|
||
|
|
# ---------------------------------------------------------------------
|
||
|
|
|
||
|
|
|
||
|
|
def test_valid_default_arguments(offset_types):
|
||
|
|
# GH#19142 check that the calling the constructors without passing
|
||
|
|
# any keyword arguments produce valid offsets
|
||
|
|
cls = offset_types
|
||
|
|
cls()
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("kwd", sorted(liboffsets._relativedelta_kwds))
|
||
|
|
def test_valid_month_attributes(kwd, month_classes):
|
||
|
|
# GH#18226
|
||
|
|
cls = month_classes
|
||
|
|
# check that we cannot create e.g. MonthEnd(weeks=3)
|
||
|
|
msg = rf"__init__\(\) got an unexpected keyword argument '{kwd}'"
|
||
|
|
with pytest.raises(TypeError, match=msg):
|
||
|
|
cls(**{kwd: 3})
|
||
|
|
|
||
|
|
|
||
|
|
def test_month_offset_name(month_classes):
|
||
|
|
# GH#33757 off.name with n != 1 should not raise AttributeError
|
||
|
|
obj = month_classes(1)
|
||
|
|
obj2 = month_classes(2)
|
||
|
|
assert obj2.name == obj.name
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("kwd", sorted(liboffsets._relativedelta_kwds))
|
||
|
|
def test_valid_relativedelta_kwargs(kwd, request):
|
||
|
|
if kwd == "millisecond":
|
||
|
|
request.node.add_marker(
|
||
|
|
pytest.mark.xfail(
|
||
|
|
raises=NotImplementedError,
|
||
|
|
reason="Constructing DateOffset object with `millisecond` is not "
|
||
|
|
"yet supported.",
|
||
|
|
)
|
||
|
|
)
|
||
|
|
# Check that all the arguments specified in liboffsets._relativedelta_kwds
|
||
|
|
# are in fact valid relativedelta keyword args
|
||
|
|
DateOffset(**{kwd: 1})
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("kwd", sorted(liboffsets._relativedelta_kwds))
|
||
|
|
def test_valid_tick_attributes(kwd, tick_classes):
|
||
|
|
# GH#18226
|
||
|
|
cls = tick_classes
|
||
|
|
# check that we cannot create e.g. Hour(weeks=3)
|
||
|
|
msg = rf"__init__\(\) got an unexpected keyword argument '{kwd}'"
|
||
|
|
with pytest.raises(TypeError, match=msg):
|
||
|
|
cls(**{kwd: 3})
|
||
|
|
|
||
|
|
|
||
|
|
def test_validate_n_error():
|
||
|
|
with pytest.raises(TypeError, match="argument must be an integer"):
|
||
|
|
DateOffset(n="Doh!")
|
||
|
|
|
||
|
|
with pytest.raises(TypeError, match="argument must be an integer"):
|
||
|
|
MonthBegin(n=timedelta(1))
|
||
|
|
|
||
|
|
with pytest.raises(TypeError, match="argument must be an integer"):
|
||
|
|
BDay(n=np.array([1, 2], dtype=np.int64))
|
||
|
|
|
||
|
|
|
||
|
|
def test_require_integers(offset_types):
|
||
|
|
cls = offset_types
|
||
|
|
with pytest.raises(ValueError, match="argument must be an integer"):
|
||
|
|
cls(n=1.5)
|
||
|
|
|
||
|
|
|
||
|
|
def test_tick_normalize_raises(tick_classes):
|
||
|
|
# check that trying to create a Tick object with normalize=True raises
|
||
|
|
# GH#21427
|
||
|
|
cls = tick_classes
|
||
|
|
msg = "Tick offset with `normalize=True` are not allowed."
|
||
|
|
with pytest.raises(ValueError, match=msg):
|
||
|
|
cls(n=3, normalize=True)
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize(
|
||
|
|
"offset_kwargs, expected_arg",
|
||
|
|
[
|
||
|
|
({"nanoseconds": 1}, "1970-01-01 00:00:00.000000001"),
|
||
|
|
({"nanoseconds": 5}, "1970-01-01 00:00:00.000000005"),
|
||
|
|
({"nanoseconds": -1}, "1969-12-31 23:59:59.999999999"),
|
||
|
|
({"microseconds": 1}, "1970-01-01 00:00:00.000001"),
|
||
|
|
({"microseconds": -1}, "1969-12-31 23:59:59.999999"),
|
||
|
|
({"seconds": 1}, "1970-01-01 00:00:01"),
|
||
|
|
({"seconds": -1}, "1969-12-31 23:59:59"),
|
||
|
|
({"minutes": 1}, "1970-01-01 00:01:00"),
|
||
|
|
({"minutes": -1}, "1969-12-31 23:59:00"),
|
||
|
|
({"hours": 1}, "1970-01-01 01:00:00"),
|
||
|
|
({"hours": -1}, "1969-12-31 23:00:00"),
|
||
|
|
({"days": 1}, "1970-01-02 00:00:00"),
|
||
|
|
({"days": -1}, "1969-12-31 00:00:00"),
|
||
|
|
({"weeks": 1}, "1970-01-08 00:00:00"),
|
||
|
|
({"weeks": -1}, "1969-12-25 00:00:00"),
|
||
|
|
({"months": 1}, "1970-02-01 00:00:00"),
|
||
|
|
({"months": -1}, "1969-12-01 00:00:00"),
|
||
|
|
({"years": 1}, "1971-01-01 00:00:00"),
|
||
|
|
({"years": -1}, "1969-01-01 00:00:00"),
|
||
|
|
],
|
||
|
|
)
|
||
|
|
def test_dateoffset_add_sub(offset_kwargs, expected_arg):
|
||
|
|
offset = DateOffset(**offset_kwargs)
|
||
|
|
ts = Timestamp(0)
|
||
|
|
result = ts + offset
|
||
|
|
expected = Timestamp(expected_arg)
|
||
|
|
assert result == expected
|
||
|
|
result -= offset
|
||
|
|
assert result == ts
|
||
|
|
result = offset + ts
|
||
|
|
assert result == expected
|
||
|
|
|
||
|
|
|
||
|
|
def test_dateoffset_add_sub_timestamp_with_nano():
|
||
|
|
offset = DateOffset(minutes=2, nanoseconds=9)
|
||
|
|
ts = Timestamp(4)
|
||
|
|
result = ts + offset
|
||
|
|
expected = Timestamp("1970-01-01 00:02:00.000000013")
|
||
|
|
assert result == expected
|
||
|
|
result -= offset
|
||
|
|
assert result == ts
|
||
|
|
result = offset + ts
|
||
|
|
assert result == expected
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize(
|
||
|
|
"attribute",
|
||
|
|
[
|
||
|
|
"hours",
|
||
|
|
"days",
|
||
|
|
"weeks",
|
||
|
|
"months",
|
||
|
|
"years",
|
||
|
|
],
|
||
|
|
)
|
||
|
|
def test_dateoffset_immutable(attribute):
|
||
|
|
offset = DateOffset(**{attribute: 0})
|
||
|
|
msg = "DateOffset objects are immutable"
|
||
|
|
with pytest.raises(AttributeError, match=msg):
|
||
|
|
setattr(offset, attribute, 5)
|
||
|
|
|
||
|
|
|
||
|
|
def test_dateoffset_misc():
|
||
|
|
oset = offsets.DateOffset(months=2, days=4)
|
||
|
|
# it works
|
||
|
|
oset.freqstr
|
||
|
|
|
||
|
|
assert not offsets.DateOffset(months=2) == 2
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("n", [-1, 1, 3])
|
||
|
|
def test_construct_int_arg_no_kwargs_assumed_days(n):
|
||
|
|
# GH 45890, 45643
|
||
|
|
offset = DateOffset(n)
|
||
|
|
assert offset._offset == timedelta(1)
|
||
|
|
result = Timestamp(2022, 1, 2) + offset
|
||
|
|
expected = Timestamp(2022, 1, 2 + n)
|
||
|
|
assert result == expected
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize(
|
||
|
|
"offset, expected",
|
||
|
|
[
|
||
|
|
(
|
||
|
|
DateOffset(minutes=7, nanoseconds=18),
|
||
|
|
Timestamp("2022-01-01 00:07:00.000000018"),
|
||
|
|
),
|
||
|
|
(DateOffset(nanoseconds=3), Timestamp("2022-01-01 00:00:00.000000003")),
|
||
|
|
],
|
||
|
|
)
|
||
|
|
def test_dateoffset_add_sub_timestamp_series_with_nano(offset, expected):
|
||
|
|
# GH 47856
|
||
|
|
start_time = Timestamp("2022-01-01")
|
||
|
|
teststamp = start_time
|
||
|
|
testseries = Series([start_time])
|
||
|
|
testseries = testseries + offset
|
||
|
|
assert testseries[0] == expected
|
||
|
|
testseries -= offset
|
||
|
|
assert testseries[0] == teststamp
|
||
|
|
testseries = offset + testseries
|
||
|
|
assert testseries[0] == expected
|