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test_offsets.py
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"""
Tests of pandas.tseries.offsets
"""
from __future__ import annotations
from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas._libs.tslibs import (
NaT,
Timedelta,
Timestamp,
conversion,
timezones,
)
import pandas._libs.tslibs.offsets as liboffsets
from pandas._libs.tslibs.offsets import (
_get_offset,
_offset_map,
to_offset,
)
from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
from pandas.errors import PerformanceWarning
from pandas import (
DataFrame,
DatetimeIndex,
Series,
date_range,
)
import pandas._testing as tm
from pandas.tests.tseries.offsets.common import WeekDay
from pandas.tseries import offsets
from pandas.tseries.offsets import (
FY5253,
BDay,
BMonthEnd,
BusinessHour,
CustomBusinessDay,
CustomBusinessHour,
CustomBusinessMonthBegin,
CustomBusinessMonthEnd,
DateOffset,
Easter,
FY5253Quarter,
LastWeekOfMonth,
MonthBegin,
Nano,
Tick,
Week,
WeekOfMonth,
)
_ARITHMETIC_DATE_OFFSET = [
"years",
"months",
"weeks",
"days",
"hours",
"minutes",
"seconds",
"milliseconds",
"microseconds",
]
def _create_offset(klass, value=1, normalize=False):
# create instance from offset class
if klass is FY5253:
klass = klass(
n=value,
startingMonth=1,
weekday=1,
variation="last",
normalize=normalize,
)
elif klass is FY5253Quarter:
klass = klass(
n=value,
startingMonth=1,
weekday=1,
qtr_with_extra_week=1,
variation="last",
normalize=normalize,
)
elif klass is LastWeekOfMonth:
klass = klass(n=value, weekday=5, normalize=normalize)
elif klass is WeekOfMonth:
klass = klass(n=value, week=1, weekday=5, normalize=normalize)
elif klass is Week:
klass = klass(n=value, weekday=5, normalize=normalize)
elif klass is DateOffset:
klass = klass(days=value, normalize=normalize)
else:
klass = klass(value, normalize=normalize)
return klass
@pytest.fixture(
params=[
getattr(offsets, o)
for o in offsets.__all__
if issubclass(getattr(offsets, o), liboffsets.MonthOffset)
and o != "MonthOffset"
]
)
def month_classes(request):
"""
Fixture for month based datetime offsets available for a time series.
"""
return request.param
@pytest.fixture(
params=[
getattr(offsets, o) for o in offsets.__all__ if o not in ("Tick", "BaseOffset")
]
)
def offset_types(request):
"""
Fixture for all the datetime offsets available for a time series.
"""
return request.param
@pytest.fixture
def dt():
return Timestamp(datetime(2008, 1, 2))
@pytest.fixture
def expecteds():
# executed value created by _create_offset
# are applied to 2011/01/01 09:00 (Saturday)
# used for .apply and .rollforward
return {
"Day": Timestamp("2011-01-02 09:00:00"),
"DateOffset": Timestamp("2011-01-02 09:00:00"),
"BusinessDay": Timestamp("2011-01-03 09:00:00"),
"CustomBusinessDay": Timestamp("2011-01-03 09:00:00"),
"CustomBusinessMonthEnd": Timestamp("2011-01-31 09:00:00"),
"CustomBusinessMonthBegin": Timestamp("2011-01-03 09:00:00"),
"MonthBegin": Timestamp("2011-02-01 09:00:00"),
"BusinessMonthBegin": Timestamp("2011-01-03 09:00:00"),
"MonthEnd": Timestamp("2011-01-31 09:00:00"),
"SemiMonthEnd": Timestamp("2011-01-15 09:00:00"),
"SemiMonthBegin": Timestamp("2011-01-15 09:00:00"),
"BusinessMonthEnd": Timestamp("2011-01-31 09:00:00"),
"YearBegin": Timestamp("2012-01-01 09:00:00"),
"BYearBegin": Timestamp("2011-01-03 09:00:00"),
"YearEnd": Timestamp("2011-12-31 09:00:00"),
"BYearEnd": Timestamp("2011-12-30 09:00:00"),
"QuarterBegin": Timestamp("2011-03-01 09:00:00"),
"BQuarterBegin": Timestamp("2011-03-01 09:00:00"),
"QuarterEnd": Timestamp("2011-03-31 09:00:00"),
"BQuarterEnd": Timestamp("2011-03-31 09:00:00"),
"BusinessHour": Timestamp("2011-01-03 10:00:00"),
"CustomBusinessHour": Timestamp("2011-01-03 10:00:00"),
"WeekOfMonth": Timestamp("2011-01-08 09:00:00"),
"LastWeekOfMonth": Timestamp("2011-01-29 09:00:00"),
"FY5253Quarter": Timestamp("2011-01-25 09:00:00"),
"FY5253": Timestamp("2011-01-25 09:00:00"),
"Week": Timestamp("2011-01-08 09:00:00"),
"Easter": Timestamp("2011-04-24 09:00:00"),
"Hour": Timestamp("2011-01-01 10:00:00"),
"Minute": Timestamp("2011-01-01 09:01:00"),
"Second": Timestamp("2011-01-01 09:00:01"),
"Milli": Timestamp("2011-01-01 09:00:00.001000"),
"Micro": Timestamp("2011-01-01 09:00:00.000001"),
"Nano": Timestamp("2011-01-01T09:00:00.000000001"),
}
class TestCommon:
def test_immutable(self, offset_types):
# GH#21341 check that __setattr__ raises
offset = _create_offset(offset_types)
msg = "objects is not writable|DateOffset objects are immutable"
with pytest.raises(AttributeError, match=msg):
offset.normalize = True
with pytest.raises(AttributeError, match=msg):
offset.n = 91
def test_return_type(self, offset_types):
offset = _create_offset(offset_types)
# make sure that we are returning a Timestamp
result = Timestamp("20080101") + offset
assert isinstance(result, Timestamp)
# make sure that we are returning NaT
assert NaT + offset is NaT
assert offset + NaT is NaT
assert NaT - offset is NaT
assert (-offset)._apply(NaT) is NaT
def test_offset_n(self, offset_types):
offset = _create_offset(offset_types)
assert offset.n == 1
neg_offset = offset * -1
assert neg_offset.n == -1
mul_offset = offset * 3
assert mul_offset.n == 3
def test_offset_timedelta64_arg(self, offset_types):
# check that offset._validate_n raises TypeError on a timedelt64
# object
off = _create_offset(offset_types)
td64 = np.timedelta64(4567, "s")
with pytest.raises(TypeError, match="argument must be an integer"):
type(off)(n=td64, **off.kwds)
def test_offset_mul_ndarray(self, offset_types):
off = _create_offset(offset_types)
expected = np.array([[off, off * 2], [off * 3, off * 4]])
result = np.array([[1, 2], [3, 4]]) * off
tm.assert_numpy_array_equal(result, expected)
result = off * np.array([[1, 2], [3, 4]])
tm.assert_numpy_array_equal(result, expected)
def test_offset_freqstr(self, offset_types):
offset = _create_offset(offset_types)
freqstr = offset.freqstr
if freqstr not in ("<Easter>", "<DateOffset: days=1>", "LWOM-SAT"):
code = _get_offset(freqstr)
assert offset.rule_code == code
def _check_offsetfunc_works(self, offset, funcname, dt, expected, normalize=False):
if normalize and issubclass(offset, Tick):
# normalize=True disallowed for Tick subclasses GH#21427
return
offset_s = _create_offset(offset, normalize=normalize)
func = getattr(offset_s, funcname)
result = func(dt)
assert isinstance(result, Timestamp)
assert result == expected
result = func(Timestamp(dt))
assert isinstance(result, Timestamp)
assert result == expected
# see gh-14101
ts = Timestamp(dt) + Nano(5)
# test nanosecond is preserved
with tm.assert_produces_warning(None):
result = func(ts)
assert isinstance(result, Timestamp)
if normalize is False:
assert result == expected + Nano(5)
else:
assert result == expected
if isinstance(dt, np.datetime64):
# test tz when input is datetime or Timestamp
return
for tz in [
None,
"UTC",
"Asia/Tokyo",
"US/Eastern",
"dateutil/Asia/Tokyo",
"dateutil/US/Pacific",
]:
expected_localize = expected.tz_localize(tz)
tz_obj = timezones.maybe_get_tz(tz)
dt_tz = conversion.localize_pydatetime(dt, tz_obj)
result = func(dt_tz)
assert isinstance(result, Timestamp)
assert result == expected_localize
result = func(Timestamp(dt, tz=tz))
assert isinstance(result, Timestamp)
assert result == expected_localize
# see gh-14101
ts = Timestamp(dt, tz=tz) + Nano(5)
# test nanosecond is preserved
with tm.assert_produces_warning(None):
result = func(ts)
assert isinstance(result, Timestamp)
if normalize is False:
assert result == expected_localize + Nano(5)
else:
assert result == expected_localize
def test_apply(self, offset_types, expecteds):
sdt = datetime(2011, 1, 1, 9, 0)
ndt = np.datetime64("2011-01-01 09:00")
expected = expecteds[offset_types.__name__]
expected_norm = Timestamp(expected.date())
for dt in [sdt, ndt]:
self._check_offsetfunc_works(offset_types, "_apply", dt, expected)
self._check_offsetfunc_works(
offset_types, "_apply", dt, expected_norm, normalize=True
)
def test_rollforward(self, offset_types, expecteds):
expecteds = expecteds.copy()
# result will not be changed if the target is on the offset
no_changes = [
"Day",
"MonthBegin",
"SemiMonthBegin",
"YearBegin",
"Week",
"Hour",
"Minute",
"Second",
"Milli",
"Micro",
"Nano",
"DateOffset",
]
for n in no_changes:
expecteds[n] = Timestamp("2011/01/01 09:00")
expecteds["BusinessHour"] = Timestamp("2011-01-03 09:00:00")
expecteds["CustomBusinessHour"] = Timestamp("2011-01-03 09:00:00")
# 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("2011-01-02 00:00:00"),
"DateOffset": Timestamp("2011-01-02 00:00:00"),
"MonthBegin": Timestamp("2011-02-01 00:00:00"),
"SemiMonthBegin": Timestamp("2011-01-15 00:00:00"),
"YearBegin": Timestamp("2012-01-01 00:00:00"),
"Week": Timestamp("2011-01-08 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, "rollforward", dt, expected)
expected = norm_expected[offset_types.__name__]
self._check_offsetfunc_works(
offset_types, "rollforward", dt, expected, normalize=True
)
def test_rollback(self, offset_types):
expecteds = {
"BusinessDay": Timestamp("2010-12-31 09:00:00"),
"CustomBusinessDay": Timestamp("2010-12-31 09:00:00"),
"CustomBusinessMonthEnd": Timestamp("2010-12-31 09:00:00"),
"CustomBusinessMonthBegin": Timestamp("2010-12-01 09:00:00"),
"BusinessMonthBegin": Timestamp("2010-12-01 09:00:00"),
"MonthEnd": Timestamp("2010-12-31 09:00:00"),
"SemiMonthEnd": Timestamp("2010-12-31 09:00:00"),
"BusinessMonthEnd": Timestamp("2010-12-31 09:00:00"),
"BYearBegin": Timestamp("2010-01-01 09:00:00"),
"YearEnd": Timestamp("2010-12-31 09:00:00"),
"BYearEnd": Timestamp("2010-12-31 09:00:00"),
"QuarterBegin": Timestamp("2010-12-01 09:00:00"),
"BQuarterBegin": Timestamp("2010-12-01 09:00:00"),
"QuarterEnd": Timestamp("2010-12-31 09:00:00"),
"BQuarterEnd": Timestamp("2010-12-31 09:00:00"),
"BusinessHour": Timestamp("2010-12-31 17:00:00"),
"CustomBusinessHour": Timestamp("2010-12-31 17:00:00"),
"WeekOfMonth": Timestamp("2010-12-11 09:00:00"),
"LastWeekOfMonth": Timestamp("2010-12-25 09:00:00"),
"FY5253Quarter": Timestamp("2010-10-26 09:00:00"),
"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, expecteds):
dt = expecteds[offset_types.__name__]
offset_s = _create_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 = _create_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, expecteds):
tz = tz_naive_fixture
dt = datetime(2011, 1, 1, 9, 0)
offset_s = _create_offset(offset_types)
expected = 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 = _create_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 = _create_offset(offset_types)
dti = DatetimeIndex([], tz=tz_naive_fixture).as_unit("ns")
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
# stacklevel checking is slow, and we have ~800 of variants of this
# test, so let's only check the stacklevel in a subset of them
check_stacklevel = tz_naive_fixture is None
with tm.assert_produces_warning(warn, check_stacklevel=check_stacklevel):
result = dti + offset_s
tm.assert_index_equal(result, dti)
with tm.assert_produces_warning(warn, check_stacklevel=check_stacklevel):
result = offset_s + dti
tm.assert_index_equal(result, dti)
dta = dti._data
with tm.assert_produces_warning(warn, check_stacklevel=check_stacklevel):
result = dta + offset_s
tm.assert_equal(result, dta)
with tm.assert_produces_warning(warn, check_stacklevel=check_stacklevel):
result = offset_s + dta
tm.assert_equal(result, dta)
def test_pickle_roundtrip(self, offset_types):
off = _create_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_offsets_hashable(self, offset_types):
# GH: 37267
off = _create_offset(offset_types)
assert hash(off) is not None
# TODO: belongs in arithmetic tests?
@pytest.mark.filterwarnings(
"ignore:Non-vectorized DateOffset being applied to Series or DatetimeIndex"
)
@pytest.mark.parametrize("unit", ["s", "ms", "us"])
def test_add_dt64_ndarray_non_nano(self, offset_types, unit):
# check that the result with non-nano matches nano
off = _create_offset(offset_types)
dti = date_range("2016-01-01", periods=35, freq="D", unit=unit)
result = (dti + off)._with_freq(None)
exp_unit = unit
if isinstance(off, Tick) and off._creso > dti._data._creso:
# cast to higher reso like we would with Timedelta scalar
exp_unit = Timedelta(off).unit
# TODO(GH#55564): as_unit will be unnecessary
expected = DatetimeIndex([x + off for x in dti]).as_unit(exp_unit)
tm.assert_index_equal(result, expected)
class TestDateOffset:
def setup_method(self):
_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.applymarker(
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, dt):
assert (dt + DateOffset(2)) == datetime(2008, 1, 4)
def test_is_anchored(self):
msg = "DateOffset.is_anchored is deprecated "
with tm.assert_produces_warning(FutureWarning, match=msg):
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, dt):
assert DateOffset(**{arithmatic_offset_type: 1}) + dt == Timestamp(expected)
assert dt + 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, dt):
assert dt - DateOffset(**{arithmatic_offset_type: 1}) == Timestamp(expected)
with pytest.raises(TypeError, match="Cannot subtract datetime from offset"):
DateOffset(**{arithmatic_offset_type: 1}) - dt
@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, dt):
assert DateOffset(**{arithmatic_offset_type: 1}) * n + dt == Timestamp(expected)
assert n * DateOffset(**{arithmatic_offset_type: 1}) + dt == Timestamp(expected)
assert dt + DateOffset(**{arithmatic_offset_type: 1}) * n == Timestamp(expected)
assert dt + 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, dt):
assert dt - DateOffset(**{arithmatic_offset_type: 1}) * n == Timestamp(expected)
assert dt - 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)
@pytest.mark.parametrize(
"offset_kwargs, expected_arg",
[
({"microseconds": 1, "milliseconds": 1}, "2022-01-01 00:00:00.001001"),
({"seconds": 1, "milliseconds": 1}, "2022-01-01 00:00:01.001"),
({"minutes": 1, "milliseconds": 1}, "2022-01-01 00:01:00.001"),
({"hours": 1, "milliseconds": 1}, "2022-01-01 01:00:00.001"),
({"days": 1, "milliseconds": 1}, "2022-01-02 00:00:00.001"),
({"weeks": 1, "milliseconds": 1}, "2022-01-08 00:00:00.001"),
({"months": 1, "milliseconds": 1}, "2022-02-01 00:00:00.001"),
({"years": 1, "milliseconds": 1}, "2023-01-01 00:00:00.001"),
],
)
def test_milliseconds_combination(self, offset_kwargs, expected_arg):
# GH 49897
offset = DateOffset(**offset_kwargs)
ts = Timestamp("2022-01-01")
result = ts + offset
expected = Timestamp(expected_arg)
assert result == expected
def test_offset_invalid_arguments(self):
msg = "^Invalid argument/s or bad combination of arguments"
with pytest.raises(ValueError, match=msg):
DateOffset(picoseconds=1)
class TestOffsetNames:
def test_get_offset_name(self):
assert BDay().freqstr == "B"
assert BDay(2).freqstr == "2B"
assert BMonthEnd().freqstr == "BME"
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()),
("bme", BMonthEnd()),
("Bme", 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 = ["ME", "MS", "BME", "BMS", "D", "B", "h", "min", "s", "ms", "us"]
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 = ["YE", "YS", "BYE", "BYS", "QE", "QS", "BQE", "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 = ["YE", "YS", "BYE", "BYS", "QE", "BQE", "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 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.applymarker(
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"),
],