867 lines
28 KiB
Python
867 lines
28 KiB
Python
"""
|
|
Tests of pandas.tseries.offsets
|
|
"""
|
|
from __future__ import annotations
|
|
|
|
from datetime import (
|
|
datetime,
|
|
timedelta,
|
|
)
|
|
from typing import (
|
|
Dict,
|
|
List,
|
|
Tuple,
|
|
)
|
|
|
|
import numpy as np
|
|
import pytest
|
|
|
|
from pandas._libs.tslibs import (
|
|
NaT,
|
|
Timestamp,
|
|
conversion,
|
|
timezones,
|
|
)
|
|
import pandas._libs.tslibs.offsets as liboffsets
|
|
from pandas._libs.tslibs.offsets import (
|
|
_get_offset,
|
|
_offset_map,
|
|
)
|
|
from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
|
|
from pandas.errors import PerformanceWarning
|
|
|
|
from pandas import DatetimeIndex
|
|
import pandas._testing as tm
|
|
from pandas.tests.tseries.offsets.common import (
|
|
Base,
|
|
WeekDay,
|
|
)
|
|
|
|
import pandas.tseries.offsets as offsets
|
|
from pandas.tseries.offsets import (
|
|
FY5253,
|
|
BaseOffset,
|
|
BDay,
|
|
BMonthEnd,
|
|
BusinessHour,
|
|
CustomBusinessDay,
|
|
CustomBusinessHour,
|
|
CustomBusinessMonthBegin,
|
|
CustomBusinessMonthEnd,
|
|
DateOffset,
|
|
Easter,
|
|
FY5253Quarter,
|
|
LastWeekOfMonth,
|
|
MonthBegin,
|
|
Nano,
|
|
Tick,
|
|
Week,
|
|
WeekOfMonth,
|
|
)
|
|
|
|
_ApplyCases = List[Tuple[BaseOffset, Dict[datetime, datetime]]]
|
|
|
|
|
|
class TestCommon(Base):
|
|
# executed 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("2011-01-01T09:00:00.000000001"),
|
|
}
|
|
|
|
def test_immutable(self, offset_types):
|
|
# GH#21341 check that __setattr__ raises
|
|
offset = self._get_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 = 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 in ["apply", "_apply"] or normalize)
|
|
and ts.nanosecond > 0
|
|
):
|
|
exp_warning = UserWarning
|
|
|
|
# test nanosecond is preserved
|
|
with tm.assert_produces_warning(exp_warning):
|
|
result = func(ts)
|
|
|
|
if exp_warning is None and funcname == "_apply":
|
|
# GH#44522
|
|
# Check in this particular case to avoid headaches with
|
|
# testing for multiple warnings produced by the same call.
|
|
with tm.assert_produces_warning(FutureWarning, match="apply is deprecated"):
|
|
res2 = offset_s.apply(ts)
|
|
|
|
assert type(res2) is type(result)
|
|
assert res2 == result
|
|
|
|
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 in ["apply", "_apply"] or normalize)
|
|
and ts.nanosecond > 0
|
|
):
|
|
exp_warning = UserWarning
|
|
|
|
# test nanosecond is preserved
|
|
with tm.assert_produces_warning(exp_warning):
|
|
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("2011-01-01 09:00")
|
|
|
|
expected = self.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 = 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("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):
|
|
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
|
|
|
|
|
|
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 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, method):
|
|
_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):
|
|
# 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_dataoffset_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
|