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test_offsets.py
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from datetime import date, datetime, time as dt_time, timedelta
from typing import Dict, List, Optional, Tuple, Type
import numpy as np
import pytest
from pandas._libs.tslibs import (
NaT,
OutOfBoundsDatetime,
Timestamp,
conversion,
timezones,
)
import pandas._libs.tslibs.offsets as liboffsets
from pandas._libs.tslibs.offsets import ApplyTypeError, _get_offset, _offset_map
from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
import pandas.compat as compat
from pandas.compat.numpy import np_datetime64_compat
from pandas.errors import PerformanceWarning
import pandas._testing as tm
from pandas.core.indexes.datetimes import DatetimeIndex, date_range
from pandas.core.series import Series
from pandas.io.pickle import read_pickle
from pandas.tseries.holiday import USFederalHolidayCalendar
import pandas.tseries.offsets as offsets
from pandas.tseries.offsets import (
FY5253,
BaseOffset,
BDay,
BMonthBegin,
BMonthEnd,
BQuarterBegin,
BQuarterEnd,
BusinessHour,
BYearBegin,
BYearEnd,
CBMonthBegin,
CBMonthEnd,
CDay,
CustomBusinessDay,
CustomBusinessHour,
CustomBusinessMonthBegin,
CustomBusinessMonthEnd,
DateOffset,
Day,
Easter,
FY5253Quarter,
LastWeekOfMonth,
MonthBegin,
MonthEnd,
Nano,
QuarterBegin,
QuarterEnd,
SemiMonthBegin,
SemiMonthEnd,
Tick,
Week,
WeekOfMonth,
YearBegin,
YearEnd,
)
from .common import assert_is_on_offset, assert_offset_equal
class WeekDay:
# TODO: Remove: This is not used outside of tests
MON = 0
TUE = 1
WED = 2
THU = 3
FRI = 4
SAT = 5
SUN = 6
#####
# DateOffset Tests
#####
_ApplyCases = List[Tuple[BaseOffset, Dict[datetime, datetime]]]
class Base:
_offset: Optional[Type[DateOffset]] = None
d = Timestamp(datetime(2008, 1, 2))
timezones = [
None,
"UTC",
"Asia/Tokyo",
"US/Eastern",
"dateutil/Asia/Tokyo",
"dateutil/US/Pacific",
]
def _get_offset(self, 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
def test_apply_out_of_range(self, tz_naive_fixture):
tz = tz_naive_fixture
if self._offset is None:
return
# try to create an out-of-bounds result timestamp; if we can't create
# the offset skip
try:
if self._offset in (BusinessHour, CustomBusinessHour):
# Using 10000 in BusinessHour fails in tz check because of DST
# difference
offset = self._get_offset(self._offset, value=100000)
else:
offset = self._get_offset(self._offset, value=10000)
result = Timestamp("20080101") + offset
assert isinstance(result, datetime)
assert result.tzinfo is None
# Check tz is preserved
t = Timestamp("20080101", tz=tz)
result = t + offset
assert isinstance(result, datetime)
assert t.tzinfo == result.tzinfo
except OutOfBoundsDatetime:
pass
except (ValueError, KeyError):
# we are creating an invalid offset
# so ignore
pass
def test_offsets_compare_equal(self):
# root cause of GH#456: __ne__ was not implemented
if self._offset is None:
return
offset1 = self._offset()
offset2 = self._offset()
assert not offset1 != offset2
assert offset1 == offset2
def test_rsub(self):
if self._offset is None or not hasattr(self, "offset2"):
# i.e. skip for TestCommon and YQM subclasses that do not have
# offset2 attr
return
assert self.d - self.offset2 == (-self.offset2).apply(self.d)
def test_radd(self):
if self._offset is None or not hasattr(self, "offset2"):
# i.e. skip for TestCommon and YQM subclasses that do not have
# offset2 attr
return
assert self.d + self.offset2 == self.offset2 + self.d
def test_sub(self):
if self._offset is None or not hasattr(self, "offset2"):
# i.e. skip for TestCommon and YQM subclasses that do not have
# offset2 attr
return
off = self.offset2
msg = "Cannot subtract datetime from offset"
with pytest.raises(TypeError, match=msg):
off - self.d
assert 2 * off - off == off
assert self.d - self.offset2 == self.d + self._offset(-2)
assert self.d - self.offset2 == self.d - (2 * off - off)
def testMult1(self):
if self._offset is None or not hasattr(self, "offset1"):
# i.e. skip for TestCommon and YQM subclasses that do not have
# offset1 attr
return
assert self.d + 10 * self.offset1 == self.d + self._offset(10)
assert self.d + 5 * self.offset1 == self.d + self._offset(5)
def testMult2(self):
if self._offset is None:
return
assert self.d + (-5 * self._offset(-10)) == self.d + self._offset(50)
assert self.d + (-3 * self._offset(-2)) == self.d + self._offset(6)
def test_compare_str(self):
# GH#23524
# comparing to strings that cannot be cast to DateOffsets should
# not raise for __eq__ or __ne__
if self._offset is None:
return
off = self._get_offset(self._offset)
assert not off == "infer"
assert off != "foo"
# Note: inequalities are only implemented for Tick subclasses;
# tests for this are in test_ticks
class TestCommon(Base):
# exected value created by Base._get_offset
# are applied to 2011/01/01 09:00 (Saturday)
# used for .apply and .rollforward
expecteds = {
"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(np_datetime64_compat("2011-01-01T09:00:00.000000001Z")),
}
def test_immutable(self, offset_types):
# GH#21341 check that __setattr__ raises
offset = self._get_offset(offset_types)
with pytest.raises(AttributeError):
offset.normalize = True
with pytest.raises(AttributeError):
offset.n = 91
def test_return_type(self, offset_types):
offset = self._get_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 = self._get_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 = self._get_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 = self._get_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 = self._get_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 = self._get_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
exp_warning = None
ts = Timestamp(dt) + Nano(5)
if (
type(offset_s).__name__ == "DateOffset"
and (funcname == "apply" or normalize)
and ts.nanosecond > 0
):
exp_warning = UserWarning
# test nanosecond is preserved
with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
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 self.timezones:
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
exp_warning = None
ts = Timestamp(dt, tz=tz) + Nano(5)
if (
type(offset_s).__name__ == "DateOffset"
and (funcname == "apply" or normalize)
and ts.nanosecond > 0
):
exp_warning = UserWarning
# test nanosecond is preserved
with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
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):
sdt = datetime(2011, 1, 1, 9, 0)
ndt = np_datetime64_compat("2011-01-01 09:00Z")
for dt in [sdt, ndt]:
expected = self.expecteds[offset_types.__name__]
self._check_offsetfunc_works(offset_types, "apply", dt, expected)
expected = Timestamp(expected.date())
self._check_offsetfunc_works(
offset_types, "apply", dt, expected, normalize=True
)
def test_rollforward(self, offset_types):
expecteds = self.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_compat("2011-01-01 09:00Z")
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_compat("2011-01-01 09:00Z")
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_v0_15_2(self, datapath):
offsets = {
"DateOffset": DateOffset(years=1),
"MonthBegin": MonthBegin(1),
"Day": Day(1),
"YearBegin": YearBegin(1),
"Week": Week(1),
}
pickle_path = datapath("tseries", "offsets", "data", "dateoffset_0_15_2.pickle")
# This code was executed once on v0.15.2 to generate the pickle:
# with open(pickle_path, 'wb') as f: pickle.dump(offsets, f)
#
result = read_pickle(pickle_path)
tm.assert_dict_equal(offsets, result)
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_onOffset_deprecated(self, offset_types):
# GH#30340 use idiomatic naming
off = self._get_offset(offset_types)
ts = Timestamp.now()
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
class TestDateOffset(Base):
def setup_method(self, method):
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
def test_constructor(self):
assert (self.d + DateOffset(months=2)) == datetime(2008, 3, 2)
assert (self.d - DateOffset(months=2)) == datetime(2007, 11, 2)
assert (self.d + DateOffset(2)) == datetime(2008, 1, 4)
assert not DateOffset(2).is_anchored()
assert DateOffset(1).is_anchored()
d = datetime(2008, 1, 31)
assert (d + DateOffset(months=1)) == datetime(2008, 2, 29)
def test_copy(self):
assert DateOffset(months=2).copy() == DateOffset(months=2)
def test_eq(self):
offset1 = DateOffset(days=1)
offset2 = DateOffset(days=365)
assert offset1 != offset2
class TestBusinessDay(Base):
_offset = BDay
def setup_method(self, method):
self.d = datetime(2008, 1, 1)
self.offset = BDay()
self.offset1 = self.offset
self.offset2 = BDay(2)
def test_different_normalize_equals(self):
# GH#21404 changed __eq__ to return False when `normalize` does not match
offset = self._offset()
offset2 = self._offset(normalize=True)
assert offset != offset2
def test_repr(self):
assert repr(self.offset) == "<BusinessDay>"
assert repr(self.offset2) == "<2 * BusinessDays>"
if compat.PY37:
expected = "<BusinessDay: offset=datetime.timedelta(days=1)>"
else:
expected = "<BusinessDay: offset=datetime.timedelta(1)>"
assert repr(self.offset + timedelta(1)) == expected
def test_with_offset(self):
offset = self.offset + timedelta(hours=2)
assert (self.d + offset) == datetime(2008, 1, 2, 2)
def test_eq(self):
assert self.offset2 == self.offset2
def test_mul(self):
pass
def test_hash(self):
assert hash(self.offset2) == hash(self.offset2)
def test_call(self):
with tm.assert_produces_warning(FutureWarning):
# GH#34171 DateOffset.__call__ is deprecated
assert self.offset2(self.d) == datetime(2008, 1, 3)
def testRollback1(self):
assert BDay(10).rollback(self.d) == self.d
def testRollback2(self):
assert BDay(10).rollback(datetime(2008, 1, 5)) == datetime(2008, 1, 4)
def testRollforward1(self):
assert BDay(10).rollforward(self.d) == self.d
def testRollforward2(self):
assert BDay(10).rollforward(datetime(2008, 1, 5)) == datetime(2008, 1, 7)
def test_roll_date_object(self):
offset = BDay()
dt = date(2012, 9, 15)
result = offset.rollback(dt)
assert result == datetime(2012, 9, 14)
result = offset.rollforward(dt)
assert result == datetime(2012, 9, 17)
offset = offsets.Day()
result = offset.rollback(dt)
assert result == datetime(2012, 9, 15)
result = offset.rollforward(dt)
assert result == datetime(2012, 9, 15)
def test_is_on_offset(self):
tests = [
(BDay(), datetime(2008, 1, 1), True),
(BDay(), datetime(2008, 1, 5), False),
]
for offset, d, expected in tests:
assert_is_on_offset(offset, d, expected)
apply_cases: _ApplyCases = []
apply_cases.append(
(
BDay(),
{
datetime(2008, 1, 1): datetime(2008, 1, 2),
datetime(2008, 1, 4): datetime(2008, 1, 7),
datetime(2008, 1, 5): datetime(2008, 1, 7),
datetime(2008, 1, 6): datetime(2008, 1, 7),
datetime(2008, 1, 7): datetime(2008, 1, 8),
},
)
)
apply_cases.append(
(
2 * BDay(),
{
datetime(2008, 1, 1): datetime(2008, 1, 3),
datetime(2008, 1, 4): datetime(2008, 1, 8),
datetime(2008, 1, 5): datetime(2008, 1, 8),
datetime(2008, 1, 6): datetime(2008, 1, 8),
datetime(2008, 1, 7): datetime(2008, 1, 9),
},
)
)
apply_cases.append(
(
-BDay(),
{
datetime(2008, 1, 1): datetime(2007, 12, 31),
datetime(2008, 1, 4): datetime(2008, 1, 3),
datetime(2008, 1, 5): datetime(2008, 1, 4),
datetime(2008, 1, 6): datetime(2008, 1, 4),
datetime(2008, 1, 7): datetime(2008, 1, 4),
datetime(2008, 1, 8): datetime(2008, 1, 7),
},
)
)
apply_cases.append(
(
-2 * BDay(),
{
datetime(2008, 1, 1): datetime(2007, 12, 28),
datetime(2008, 1, 4): datetime(2008, 1, 2),
datetime(2008, 1, 5): datetime(2008, 1, 3),
datetime(2008, 1, 6): datetime(2008, 1, 3),
datetime(2008, 1, 7): datetime(2008, 1, 3),
datetime(2008, 1, 8): datetime(2008, 1, 4),
datetime(2008, 1, 9): datetime(2008, 1, 7),
},
)
)
apply_cases.append(
(
BDay(0),
{
datetime(2008, 1, 1): datetime(2008, 1, 1),
datetime(2008, 1, 4): datetime(2008, 1, 4),
datetime(2008, 1, 5): datetime(2008, 1, 7),
datetime(2008, 1, 6): datetime(2008, 1, 7),
datetime(2008, 1, 7): datetime(2008, 1, 7),
},
)
)
@pytest.mark.parametrize("case", apply_cases)
def test_apply(self, case):
offset, cases = case
for base, expected in cases.items():
assert_offset_equal(offset, base, expected)
def test_apply_large_n(self):
dt = datetime(2012, 10, 23)
result = dt + BDay(10)
assert result == datetime(2012, 11, 6)
result = dt + BDay(100) - BDay(100)
assert result == dt
off = BDay() * 6
rs = datetime(2012, 1, 1) - off
xp = datetime(2011, 12, 23)
assert rs == xp
st = datetime(2011, 12, 18)
rs = st + off
xp = datetime(2011, 12, 26)
assert rs == xp
off = BDay() * 10
rs = datetime(2014, 1, 5) + off # see #5890
xp = datetime(2014, 1, 17)
assert rs == xp
def test_apply_corner(self):
msg = "Only know how to combine business day with datetime or timedelta"
with pytest.raises(ApplyTypeError, match=msg):
BDay().apply(BMonthEnd())
class TestBusinessHour(Base):
_offset = BusinessHour
def setup_method(self, method):
self.d = datetime(2014, 7, 1, 10, 00)
self.offset1 = BusinessHour()
self.offset2 = BusinessHour(n=3)
self.offset3 = BusinessHour(n=-1)
self.offset4 = BusinessHour(n=-4)
from datetime import time as dt_time
self.offset5 = BusinessHour(start=dt_time(11, 0), end=dt_time(14, 30))
self.offset6 = BusinessHour(start="20:00", end="05:00")
self.offset7 = BusinessHour(n=-2, start=dt_time(21, 30), end=dt_time(6, 30))
self.offset8 = BusinessHour(start=["09:00", "13:00"], end=["12:00", "17:00"])
self.offset9 = BusinessHour(
n=3, start=["09:00", "22:00"], end=["13:00", "03:00"]
)
self.offset10 = BusinessHour(
n=-1, start=["23:00", "13:00"], end=["02:00", "17:00"]
)
@pytest.mark.parametrize(
"start,end,match",
[
(
dt_time(11, 0, 5),
"17:00",
"time data must be specified only with hour and minute",
),
("AAA", "17:00", "time data must match '%H:%M' format"),
("14:00:05", "17:00", "time data must match '%H:%M' format"),
([], "17:00", "Must include at least 1 start time"),
("09:00", [], "Must include at least 1 end time"),
(
["09:00", "11:00"],
"17:00",
"number of starting time and ending time must be the same",
),
(
["09:00", "11:00"],
["10:00"],
"number of starting time and ending time must be the same",
),
(
["09:00", "11:00"],
["12:00", "20:00"],
r"invalid starting and ending time\(s\): opening hours should not "
"touch or overlap with one another",
),
(
["12:00", "20:00"],
["09:00", "11:00"],
r"invalid starting and ending time\(s\): opening hours should not "
"touch or overlap with one another",
),
],
)
def test_constructor_errors(self, start, end, match):
with pytest.raises(ValueError, match=match):
BusinessHour(start=start, end=end)
def test_different_normalize_equals(self):
# GH#21404 changed __eq__ to return False when `normalize` does not match
offset = self._offset()
offset2 = self._offset(normalize=True)
assert offset != offset2
def test_repr(self):
assert repr(self.offset1) == "<BusinessHour: BH=09:00-17:00>"
assert repr(self.offset2) == "<3 * BusinessHours: BH=09:00-17:00>"
assert repr(self.offset3) == "<-1 * BusinessHour: BH=09:00-17:00>"
assert repr(self.offset4) == "<-4 * BusinessHours: BH=09:00-17:00>"
assert repr(self.offset5) == "<BusinessHour: BH=11:00-14:30>"
assert repr(self.offset6) == "<BusinessHour: BH=20:00-05:00>"
assert repr(self.offset7) == "<-2 * BusinessHours: BH=21:30-06:30>"
assert repr(self.offset8) == "<BusinessHour: BH=09:00-12:00,13:00-17:00>"
assert repr(self.offset9) == "<3 * BusinessHours: BH=09:00-13:00,22:00-03:00>"
assert repr(self.offset10) == "<-1 * BusinessHour: BH=13:00-17:00,23:00-02:00>"
def test_with_offset(self):