demo + utils venv

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d3m1g0d
2019-02-03 13:40:10 +01:00
parent 5fa112490b
commit cfa9c8ea23
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# -*- coding: utf-8 -*-
from datetime import datetime, timedelta
import numpy as np
import pytest
from pandas.compat import long
from pandas import Timedelta, Timestamp
import pandas.util.testing as tm
from pandas.tseries import offsets
from pandas.tseries.frequencies import to_offset
class TestTimestampArithmetic(object):
def test_overflow_offset(self):
# no overflow expected
stamp = Timestamp("2000/1/1")
offset_no_overflow = to_offset("D") * 100
expected = Timestamp("2000/04/10")
assert stamp + offset_no_overflow == expected
assert offset_no_overflow + stamp == expected
expected = Timestamp("1999/09/23")
assert stamp - offset_no_overflow == expected
def test_overflow_offset_raises(self):
# xref https://github.com/statsmodels/statsmodels/issues/3374
# ends up multiplying really large numbers which overflow
stamp = Timestamp('2017-01-13 00:00:00', freq='D')
offset_overflow = 20169940 * offsets.Day(1)
msg = ("the add operation between "
r"\<-?\d+ \* Days\> and \d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2} "
"will overflow")
with pytest.raises(OverflowError, match=msg):
stamp + offset_overflow
with pytest.raises(OverflowError, match=msg):
offset_overflow + stamp
with pytest.raises(OverflowError, match=msg):
stamp - offset_overflow
# xref https://github.com/pandas-dev/pandas/issues/14080
# used to crash, so check for proper overflow exception
stamp = Timestamp("2000/1/1")
offset_overflow = to_offset("D") * 100 ** 25
with pytest.raises(OverflowError, match=msg):
stamp + offset_overflow
with pytest.raises(OverflowError, match=msg):
offset_overflow + stamp
with pytest.raises(OverflowError, match=msg):
stamp - offset_overflow
def test_delta_preserve_nanos(self):
val = Timestamp(long(1337299200000000123))
result = val + timedelta(1)
assert result.nanosecond == val.nanosecond
def test_timestamp_sub_datetime(self):
dt = datetime(2013, 10, 12)
ts = Timestamp(datetime(2013, 10, 13))
assert (ts - dt).days == 1
assert (dt - ts).days == -1
def test_addition_subtraction_types(self):
# Assert on the types resulting from Timestamp +/- various date/time
# objects
dt = datetime(2014, 3, 4)
td = timedelta(seconds=1)
# build a timestamp with a frequency, since then it supports
# addition/subtraction of integers
ts = Timestamp(dt, freq='D')
with tm.assert_produces_warning(FutureWarning):
# GH#22535 add/sub with integers is deprecated
assert type(ts + 1) == Timestamp
assert type(ts - 1) == Timestamp
# Timestamp + datetime not supported, though subtraction is supported
# and yields timedelta more tests in tseries/base/tests/test_base.py
assert type(ts - dt) == Timedelta
assert type(ts + td) == Timestamp
assert type(ts - td) == Timestamp
# Timestamp +/- datetime64 not supported, so not tested (could possibly
# assert error raised?)
td64 = np.timedelta64(1, 'D')
assert type(ts + td64) == Timestamp
assert type(ts - td64) == Timestamp
def test_addition_subtraction_preserve_frequency(self):
ts = Timestamp('2014-03-05', freq='D')
td = timedelta(days=1)
original_freq = ts.freq
with tm.assert_produces_warning(FutureWarning):
# GH#22535 add/sub with integers is deprecated
assert (ts + 1).freq == original_freq
assert (ts - 1).freq == original_freq
assert (ts + td).freq == original_freq
assert (ts - td).freq == original_freq
td64 = np.timedelta64(1, 'D')
assert (ts + td64).freq == original_freq
assert (ts - td64).freq == original_freq
@@ -0,0 +1,168 @@
# -*- coding: utf-8 -*-
from datetime import datetime
import operator
import numpy as np
import pytest
from pandas.compat import PY2, long
from pandas import Timestamp
class TestTimestampComparison(object):
def test_comparison_object_array(self):
# GH#15183
ts = Timestamp('2011-01-03 00:00:00-0500', tz='US/Eastern')
other = Timestamp('2011-01-01 00:00:00-0500', tz='US/Eastern')
naive = Timestamp('2011-01-01 00:00:00')
arr = np.array([other, ts], dtype=object)
res = arr == ts
expected = np.array([False, True], dtype=bool)
assert (res == expected).all()
# 2D case
arr = np.array([[other, ts],
[ts, other]],
dtype=object)
res = arr != ts
expected = np.array([[True, False], [False, True]], dtype=bool)
assert res.shape == expected.shape
assert (res == expected).all()
# tzaware mismatch
arr = np.array([naive], dtype=object)
with pytest.raises(TypeError):
arr < ts
def test_comparison(self):
# 5-18-2012 00:00:00.000
stamp = long(1337299200000000000)
val = Timestamp(stamp)
assert val == val
assert not val != val
assert not val < val
assert val <= val
assert not val > val
assert val >= val
other = datetime(2012, 5, 18)
assert val == other
assert not val != other
assert not val < other
assert val <= other
assert not val > other
assert val >= other
other = Timestamp(stamp + 100)
assert val != other
assert val != other
assert val < other
assert val <= other
assert other > val
assert other >= val
def test_compare_invalid(self):
# GH#8058
val = Timestamp('20130101 12:01:02')
assert not val == 'foo'
assert not val == 10.0
assert not val == 1
assert not val == long(1)
assert not val == []
assert not val == {'foo': 1}
assert not val == np.float64(1)
assert not val == np.int64(1)
assert val != 'foo'
assert val != 10.0
assert val != 1
assert val != long(1)
assert val != []
assert val != {'foo': 1}
assert val != np.float64(1)
assert val != np.int64(1)
def test_cant_compare_tz_naive_w_aware(self, utc_fixture):
# see GH#1404
a = Timestamp('3/12/2012')
b = Timestamp('3/12/2012', tz=utc_fixture)
with pytest.raises(TypeError):
a == b
with pytest.raises(TypeError):
a != b
with pytest.raises(TypeError):
a < b
with pytest.raises(TypeError):
a <= b
with pytest.raises(TypeError):
a > b
with pytest.raises(TypeError):
a >= b
with pytest.raises(TypeError):
b == a
with pytest.raises(TypeError):
b != a
with pytest.raises(TypeError):
b < a
with pytest.raises(TypeError):
b <= a
with pytest.raises(TypeError):
b > a
with pytest.raises(TypeError):
b >= a
if PY2:
with pytest.raises(TypeError):
a == b.to_pydatetime()
with pytest.raises(TypeError):
a.to_pydatetime() == b
else:
assert not a == b.to_pydatetime()
assert not a.to_pydatetime() == b
def test_timestamp_compare_scalars(self):
# case where ndim == 0
lhs = np.datetime64(datetime(2013, 12, 6))
rhs = Timestamp('now')
nat = Timestamp('nat')
ops = {'gt': 'lt',
'lt': 'gt',
'ge': 'le',
'le': 'ge',
'eq': 'eq',
'ne': 'ne'}
for left, right in ops.items():
left_f = getattr(operator, left)
right_f = getattr(operator, right)
expected = left_f(lhs, rhs)
result = right_f(rhs, lhs)
assert result == expected
expected = left_f(rhs, nat)
result = right_f(nat, rhs)
assert result == expected
def test_timestamp_compare_with_early_datetime(self):
# e.g. datetime.min
stamp = Timestamp('2012-01-01')
assert not stamp == datetime.min
assert not stamp == datetime(1600, 1, 1)
assert not stamp == datetime(2700, 1, 1)
assert stamp != datetime.min
assert stamp != datetime(1600, 1, 1)
assert stamp != datetime(2700, 1, 1)
assert stamp > datetime(1600, 1, 1)
assert stamp >= datetime(1600, 1, 1)
assert stamp < datetime(2700, 1, 1)
assert stamp <= datetime(2700, 1, 1)
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# -*- coding: utf-8 -*-
from distutils.version import LooseVersion
import pprint
import dateutil
import pytest
import pytz # noqa # a test below uses pytz but only inside a `eval` call
from pandas import Timestamp
class TestTimestampRendering(object):
# dateutil zone change (only matters for repr)
if LooseVersion(dateutil.__version__) >= LooseVersion('2.6.0'):
timezones = ['UTC', 'Asia/Tokyo', 'US/Eastern',
'dateutil/US/Pacific']
else:
timezones = ['UTC', 'Asia/Tokyo', 'US/Eastern',
'dateutil/America/Los_Angeles']
@pytest.mark.parametrize('tz', timezones)
@pytest.mark.parametrize('freq', ['D', 'M', 'S', 'N'])
@pytest.mark.parametrize('date', ['2014-03-07', '2014-01-01 09:00',
'2014-01-01 00:00:00.000000001'])
def test_repr(self, date, freq, tz):
# avoid to match with timezone name
freq_repr = "'{0}'".format(freq)
if tz.startswith('dateutil'):
tz_repr = tz.replace('dateutil', '')
else:
tz_repr = tz
date_only = Timestamp(date)
assert date in repr(date_only)
assert tz_repr not in repr(date_only)
assert freq_repr not in repr(date_only)
assert date_only == eval(repr(date_only))
date_tz = Timestamp(date, tz=tz)
assert date in repr(date_tz)
assert tz_repr in repr(date_tz)
assert freq_repr not in repr(date_tz)
assert date_tz == eval(repr(date_tz))
date_freq = Timestamp(date, freq=freq)
assert date in repr(date_freq)
assert tz_repr not in repr(date_freq)
assert freq_repr in repr(date_freq)
assert date_freq == eval(repr(date_freq))
date_tz_freq = Timestamp(date, tz=tz, freq=freq)
assert date in repr(date_tz_freq)
assert tz_repr in repr(date_tz_freq)
assert freq_repr in repr(date_tz_freq)
assert date_tz_freq == eval(repr(date_tz_freq))
def test_repr_utcoffset(self):
# This can cause the tz field to be populated, but it's redundant to
# include this information in the date-string.
date_with_utc_offset = Timestamp('2014-03-13 00:00:00-0400', tz=None)
assert '2014-03-13 00:00:00-0400' in repr(date_with_utc_offset)
assert 'tzoffset' not in repr(date_with_utc_offset)
assert 'pytz.FixedOffset(-240)' in repr(date_with_utc_offset)
expr = repr(date_with_utc_offset).replace("'pytz.FixedOffset(-240)'",
'pytz.FixedOffset(-240)')
assert date_with_utc_offset == eval(expr)
def test_timestamp_repr_pre1900(self):
# pre-1900
stamp = Timestamp('1850-01-01', tz='US/Eastern')
repr(stamp)
iso8601 = '1850-01-01 01:23:45.012345'
stamp = Timestamp(iso8601, tz='US/Eastern')
result = repr(stamp)
assert iso8601 in result
def test_pprint(self):
# GH#12622
nested_obj = {'foo': 1,
'bar': [{'w': {'a': Timestamp('2011-01-01')}}] * 10}
result = pprint.pformat(nested_obj, width=50)
expected = r"""{'bar': [{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}}],
'foo': 1}"""
assert result == expected
@@ -0,0 +1,964 @@
""" test the scalar Timestamp """
import calendar
from datetime import datetime, timedelta
import locale
import unicodedata
import dateutil
from dateutil.tz import tzutc
import numpy as np
import pytest
import pytz
from pytz import timezone, utc
from pandas._libs.tslibs import conversion
from pandas._libs.tslibs.timezones import dateutil_gettz as gettz, get_timezone
from pandas.compat import PY2, PY3, long
from pandas.compat.numpy import np_datetime64_compat
from pandas.errors import OutOfBoundsDatetime
import pandas.util._test_decorators as td
from pandas import NaT, Period, Timedelta, Timestamp
import pandas.util.testing as tm
from pandas.tseries import offsets
class TestTimestampProperties(object):
def test_properties_business(self):
ts = Timestamp('2017-10-01', freq='B')
control = Timestamp('2017-10-01')
assert ts.dayofweek == 6
assert not ts.is_month_start # not a weekday
assert not ts.is_quarter_start # not a weekday
# Control case: non-business is month/qtr start
assert control.is_month_start
assert control.is_quarter_start
ts = Timestamp('2017-09-30', freq='B')
control = Timestamp('2017-09-30')
assert ts.dayofweek == 5
assert not ts.is_month_end # not a weekday
assert not ts.is_quarter_end # not a weekday
# Control case: non-business is month/qtr start
assert control.is_month_end
assert control.is_quarter_end
def test_fields(self):
def check(value, equal):
# that we are int/long like
assert isinstance(value, (int, long))
assert value == equal
# GH 10050
ts = Timestamp('2015-05-10 09:06:03.000100001')
check(ts.year, 2015)
check(ts.month, 5)
check(ts.day, 10)
check(ts.hour, 9)
check(ts.minute, 6)
check(ts.second, 3)
pytest.raises(AttributeError, lambda: ts.millisecond)
check(ts.microsecond, 100)
check(ts.nanosecond, 1)
check(ts.dayofweek, 6)
check(ts.quarter, 2)
check(ts.dayofyear, 130)
check(ts.week, 19)
check(ts.daysinmonth, 31)
check(ts.daysinmonth, 31)
# GH 13303
ts = Timestamp('2014-12-31 23:59:00-05:00', tz='US/Eastern')
check(ts.year, 2014)
check(ts.month, 12)
check(ts.day, 31)
check(ts.hour, 23)
check(ts.minute, 59)
check(ts.second, 0)
pytest.raises(AttributeError, lambda: ts.millisecond)
check(ts.microsecond, 0)
check(ts.nanosecond, 0)
check(ts.dayofweek, 2)
check(ts.quarter, 4)
check(ts.dayofyear, 365)
check(ts.week, 1)
check(ts.daysinmonth, 31)
ts = Timestamp('2014-01-01 00:00:00+01:00')
starts = ['is_month_start', 'is_quarter_start', 'is_year_start']
for start in starts:
assert getattr(ts, start)
ts = Timestamp('2014-12-31 23:59:59+01:00')
ends = ['is_month_end', 'is_year_end', 'is_quarter_end']
for end in ends:
assert getattr(ts, end)
# GH 12806
@pytest.mark.parametrize('data',
[Timestamp('2017-08-28 23:00:00'),
Timestamp('2017-08-28 23:00:00', tz='EST')])
@pytest.mark.parametrize('time_locale', [
None] if tm.get_locales() is None else [None] + tm.get_locales())
def test_names(self, data, time_locale):
# GH 17354
# Test .weekday_name, .day_name(), .month_name
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
assert data.weekday_name == 'Monday'
if time_locale is None:
expected_day = 'Monday'
expected_month = 'August'
else:
with tm.set_locale(time_locale, locale.LC_TIME):
expected_day = calendar.day_name[0].capitalize()
expected_month = calendar.month_name[8].capitalize()
result_day = data.day_name(time_locale)
result_month = data.month_name(time_locale)
# Work around https://github.com/pandas-dev/pandas/issues/22342
# different normalizations
if not PY2:
expected_day = unicodedata.normalize("NFD", expected_day)
expected_month = unicodedata.normalize("NFD", expected_month)
result_day = unicodedata.normalize("NFD", result_day,)
result_month = unicodedata.normalize("NFD", result_month)
assert result_day == expected_day
assert result_month == expected_month
# Test NaT
nan_ts = Timestamp(NaT)
assert np.isnan(nan_ts.day_name(time_locale))
assert np.isnan(nan_ts.month_name(time_locale))
def test_is_leap_year(self, tz_naive_fixture):
tz = tz_naive_fixture
# GH 13727
dt = Timestamp('2000-01-01 00:00:00', tz=tz)
assert dt.is_leap_year
assert isinstance(dt.is_leap_year, bool)
dt = Timestamp('1999-01-01 00:00:00', tz=tz)
assert not dt.is_leap_year
dt = Timestamp('2004-01-01 00:00:00', tz=tz)
assert dt.is_leap_year
dt = Timestamp('2100-01-01 00:00:00', tz=tz)
assert not dt.is_leap_year
def test_woy_boundary(self):
# make sure weeks at year boundaries are correct
d = datetime(2013, 12, 31)
result = Timestamp(d).week
expected = 1 # ISO standard
assert result == expected
d = datetime(2008, 12, 28)
result = Timestamp(d).week
expected = 52 # ISO standard
assert result == expected
d = datetime(2009, 12, 31)
result = Timestamp(d).week
expected = 53 # ISO standard
assert result == expected
d = datetime(2010, 1, 1)
result = Timestamp(d).week
expected = 53 # ISO standard
assert result == expected
d = datetime(2010, 1, 3)
result = Timestamp(d).week
expected = 53 # ISO standard
assert result == expected
result = np.array([Timestamp(datetime(*args)).week
for args in [(2000, 1, 1), (2000, 1, 2), (
2005, 1, 1), (2005, 1, 2)]])
assert (result == [52, 52, 53, 53]).all()
def test_resolution(self):
# GH#21336, GH#21365
dt = Timestamp('2100-01-01 00:00:00')
assert dt.resolution == Timedelta(nanoseconds=1)
class TestTimestampConstructors(object):
def test_constructor(self):
base_str = '2014-07-01 09:00'
base_dt = datetime(2014, 7, 1, 9)
base_expected = 1404205200000000000
# confirm base representation is correct
import calendar
assert (calendar.timegm(base_dt.timetuple()) * 1000000000 ==
base_expected)
tests = [(base_str, base_dt, base_expected),
('2014-07-01 10:00', datetime(2014, 7, 1, 10),
base_expected + 3600 * 1000000000),
('2014-07-01 09:00:00.000008000',
datetime(2014, 7, 1, 9, 0, 0, 8),
base_expected + 8000),
('2014-07-01 09:00:00.000000005',
Timestamp('2014-07-01 09:00:00.000000005'),
base_expected + 5)]
timezones = [(None, 0), ('UTC', 0), (pytz.utc, 0), ('Asia/Tokyo', 9),
('US/Eastern', -4), ('dateutil/US/Pacific', -7),
(pytz.FixedOffset(-180), -3),
(dateutil.tz.tzoffset(None, 18000), 5)]
for date_str, date, expected in tests:
for result in [Timestamp(date_str), Timestamp(date)]:
# only with timestring
assert result.value == expected
assert conversion.pydt_to_i8(result) == expected
# re-creation shouldn't affect to internal value
result = Timestamp(result)
assert result.value == expected
assert conversion.pydt_to_i8(result) == expected
# with timezone
for tz, offset in timezones:
for result in [Timestamp(date_str, tz=tz), Timestamp(date,
tz=tz)]:
expected_tz = expected - offset * 3600 * 1000000000
assert result.value == expected_tz
assert conversion.pydt_to_i8(result) == expected_tz
# should preserve tz
result = Timestamp(result)
assert result.value == expected_tz
assert conversion.pydt_to_i8(result) == expected_tz
# should convert to UTC
if tz is not None:
result = Timestamp(result).tz_convert('UTC')
else:
result = Timestamp(result, tz='UTC')
expected_utc = expected - offset * 3600 * 1000000000
assert result.value == expected_utc
assert conversion.pydt_to_i8(result) == expected_utc
def test_constructor_with_stringoffset(self):
# GH 7833
base_str = '2014-07-01 11:00:00+02:00'
base_dt = datetime(2014, 7, 1, 9)
base_expected = 1404205200000000000
# confirm base representation is correct
import calendar
assert (calendar.timegm(base_dt.timetuple()) * 1000000000 ==
base_expected)
tests = [(base_str, base_expected),
('2014-07-01 12:00:00+02:00',
base_expected + 3600 * 1000000000),
('2014-07-01 11:00:00.000008000+02:00', base_expected + 8000),
('2014-07-01 11:00:00.000000005+02:00', base_expected + 5)]
timezones = [(None, 0), ('UTC', 0), (pytz.utc, 0), ('Asia/Tokyo', 9),
('US/Eastern', -4), ('dateutil/US/Pacific', -7),
(pytz.FixedOffset(-180), -3),
(dateutil.tz.tzoffset(None, 18000), 5)]
for date_str, expected in tests:
for result in [Timestamp(date_str)]:
# only with timestring
assert result.value == expected
assert conversion.pydt_to_i8(result) == expected
# re-creation shouldn't affect to internal value
result = Timestamp(result)
assert result.value == expected
assert conversion.pydt_to_i8(result) == expected
# with timezone
for tz, offset in timezones:
result = Timestamp(date_str, tz=tz)
expected_tz = expected
assert result.value == expected_tz
assert conversion.pydt_to_i8(result) == expected_tz
# should preserve tz
result = Timestamp(result)
assert result.value == expected_tz
assert conversion.pydt_to_i8(result) == expected_tz
# should convert to UTC
result = Timestamp(result).tz_convert('UTC')
expected_utc = expected
assert result.value == expected_utc
assert conversion.pydt_to_i8(result) == expected_utc
# This should be 2013-11-01 05:00 in UTC
# converted to Chicago tz
result = Timestamp('2013-11-01 00:00:00-0500', tz='America/Chicago')
assert result.value == Timestamp('2013-11-01 05:00').value
expected = "Timestamp('2013-11-01 00:00:00-0500', tz='America/Chicago')" # noqa
assert repr(result) == expected
assert result == eval(repr(result))
# This should be 2013-11-01 05:00 in UTC
# converted to Tokyo tz (+09:00)
result = Timestamp('2013-11-01 00:00:00-0500', tz='Asia/Tokyo')
assert result.value == Timestamp('2013-11-01 05:00').value
expected = "Timestamp('2013-11-01 14:00:00+0900', tz='Asia/Tokyo')"
assert repr(result) == expected
assert result == eval(repr(result))
# GH11708
# This should be 2015-11-18 10:00 in UTC
# converted to Asia/Katmandu
result = Timestamp("2015-11-18 15:45:00+05:45", tz="Asia/Katmandu")
assert result.value == Timestamp("2015-11-18 10:00").value
expected = "Timestamp('2015-11-18 15:45:00+0545', tz='Asia/Katmandu')"
assert repr(result) == expected
assert result == eval(repr(result))
# This should be 2015-11-18 10:00 in UTC
# converted to Asia/Kolkata
result = Timestamp("2015-11-18 15:30:00+05:30", tz="Asia/Kolkata")
assert result.value == Timestamp("2015-11-18 10:00").value
expected = "Timestamp('2015-11-18 15:30:00+0530', tz='Asia/Kolkata')"
assert repr(result) == expected
assert result == eval(repr(result))
def test_constructor_invalid(self):
with pytest.raises(TypeError, match='Cannot convert input'):
Timestamp(slice(2))
with pytest.raises(ValueError, match='Cannot convert Period'):
Timestamp(Period('1000-01-01'))
def test_constructor_invalid_tz(self):
# GH#17690
with pytest.raises(TypeError, match='must be a datetime.tzinfo'):
Timestamp('2017-10-22', tzinfo='US/Eastern')
with pytest.raises(ValueError, match='at most one of'):
Timestamp('2017-10-22', tzinfo=utc, tz='UTC')
with pytest.raises(ValueError, match="Invalid frequency:"):
# GH#5168
# case where user tries to pass tz as an arg, not kwarg, gets
# interpreted as a `freq`
Timestamp('2012-01-01', 'US/Pacific')
def test_constructor_tz_or_tzinfo(self):
# GH#17943, GH#17690, GH#5168
stamps = [Timestamp(year=2017, month=10, day=22, tz='UTC'),
Timestamp(year=2017, month=10, day=22, tzinfo=utc),
Timestamp(year=2017, month=10, day=22, tz=utc),
Timestamp(datetime(2017, 10, 22), tzinfo=utc),
Timestamp(datetime(2017, 10, 22), tz='UTC'),
Timestamp(datetime(2017, 10, 22), tz=utc)]
assert all(ts == stamps[0] for ts in stamps)
def test_constructor_positional(self):
# see gh-10758
with pytest.raises(TypeError):
Timestamp(2000, 1)
with pytest.raises(ValueError):
Timestamp(2000, 0, 1)
with pytest.raises(ValueError):
Timestamp(2000, 13, 1)
with pytest.raises(ValueError):
Timestamp(2000, 1, 0)
with pytest.raises(ValueError):
Timestamp(2000, 1, 32)
# see gh-11630
assert (repr(Timestamp(2015, 11, 12)) ==
repr(Timestamp('20151112')))
assert (repr(Timestamp(2015, 11, 12, 1, 2, 3, 999999)) ==
repr(Timestamp('2015-11-12 01:02:03.999999')))
def test_constructor_keyword(self):
# GH 10758
with pytest.raises(TypeError):
Timestamp(year=2000, month=1)
with pytest.raises(ValueError):
Timestamp(year=2000, month=0, day=1)
with pytest.raises(ValueError):
Timestamp(year=2000, month=13, day=1)
with pytest.raises(ValueError):
Timestamp(year=2000, month=1, day=0)
with pytest.raises(ValueError):
Timestamp(year=2000, month=1, day=32)
assert (repr(Timestamp(year=2015, month=11, day=12)) ==
repr(Timestamp('20151112')))
assert (repr(Timestamp(year=2015, month=11, day=12, hour=1, minute=2,
second=3, microsecond=999999)) ==
repr(Timestamp('2015-11-12 01:02:03.999999')))
def test_constructor_fromordinal(self):
base = datetime(2000, 1, 1)
ts = Timestamp.fromordinal(base.toordinal(), freq='D')
assert base == ts
assert ts.freq == 'D'
assert base.toordinal() == ts.toordinal()
ts = Timestamp.fromordinal(base.toordinal(), tz='US/Eastern')
assert Timestamp('2000-01-01', tz='US/Eastern') == ts
assert base.toordinal() == ts.toordinal()
# GH#3042
dt = datetime(2011, 4, 16, 0, 0)
ts = Timestamp.fromordinal(dt.toordinal())
assert ts.to_pydatetime() == dt
# with a tzinfo
stamp = Timestamp('2011-4-16', tz='US/Eastern')
dt_tz = stamp.to_pydatetime()
ts = Timestamp.fromordinal(dt_tz.toordinal(), tz='US/Eastern')
assert ts.to_pydatetime() == dt_tz
@pytest.mark.parametrize('result', [
Timestamp(datetime(2000, 1, 2, 3, 4, 5, 6), nanosecond=1),
Timestamp(year=2000, month=1, day=2, hour=3, minute=4, second=5,
microsecond=6, nanosecond=1),
Timestamp(year=2000, month=1, day=2, hour=3, minute=4, second=5,
microsecond=6, nanosecond=1, tz='UTC'),
Timestamp(2000, 1, 2, 3, 4, 5, 6, 1, None),
Timestamp(2000, 1, 2, 3, 4, 5, 6, 1, pytz.UTC)])
def test_constructor_nanosecond(self, result):
# GH 18898
expected = Timestamp(datetime(2000, 1, 2, 3, 4, 5, 6), tz=result.tz)
expected = expected + Timedelta(nanoseconds=1)
assert result == expected
@pytest.mark.parametrize('z', ['Z0', 'Z00'])
def test_constructor_invalid_Z0_isostring(self, z):
# GH 8910
with pytest.raises(ValueError):
Timestamp('2014-11-02 01:00{}'.format(z))
@pytest.mark.parametrize('arg', ['year', 'month', 'day', 'hour', 'minute',
'second', 'microsecond', 'nanosecond'])
def test_invalid_date_kwarg_with_string_input(self, arg):
kwarg = {arg: 1}
with pytest.raises(ValueError):
Timestamp('2010-10-10 12:59:59.999999999', **kwarg)
def test_out_of_bounds_value(self):
one_us = np.timedelta64(1).astype('timedelta64[us]')
# By definition we can't go out of bounds in [ns], so we
# convert the datetime64s to [us] so we can go out of bounds
min_ts_us = np.datetime64(Timestamp.min).astype('M8[us]')
max_ts_us = np.datetime64(Timestamp.max).astype('M8[us]')
# No error for the min/max datetimes
Timestamp(min_ts_us)
Timestamp(max_ts_us)
# One us less than the minimum is an error
with pytest.raises(ValueError):
Timestamp(min_ts_us - one_us)
# One us more than the maximum is an error
with pytest.raises(ValueError):
Timestamp(max_ts_us + one_us)
def test_out_of_bounds_string(self):
with pytest.raises(ValueError):
Timestamp('1676-01-01')
with pytest.raises(ValueError):
Timestamp('2263-01-01')
def test_barely_out_of_bounds(self):
# GH#19529
# GH#19382 close enough to bounds that dropping nanos would result
# in an in-bounds datetime
with pytest.raises(OutOfBoundsDatetime):
Timestamp('2262-04-11 23:47:16.854775808')
def test_bounds_with_different_units(self):
out_of_bounds_dates = ('1677-09-21', '2262-04-12')
time_units = ('D', 'h', 'm', 's', 'ms', 'us')
for date_string in out_of_bounds_dates:
for unit in time_units:
dt64 = np.datetime64(date_string, dtype='M8[%s]' % unit)
with pytest.raises(ValueError):
Timestamp(dt64)
in_bounds_dates = ('1677-09-23', '2262-04-11')
for date_string in in_bounds_dates:
for unit in time_units:
dt64 = np.datetime64(date_string, dtype='M8[%s]' % unit)
Timestamp(dt64)
def test_min_valid(self):
# Ensure that Timestamp.min is a valid Timestamp
Timestamp(Timestamp.min)
def test_max_valid(self):
# Ensure that Timestamp.max is a valid Timestamp
Timestamp(Timestamp.max)
def test_now(self):
# GH#9000
ts_from_string = Timestamp('now')
ts_from_method = Timestamp.now()
ts_datetime = datetime.now()
ts_from_string_tz = Timestamp('now', tz='US/Eastern')
ts_from_method_tz = Timestamp.now(tz='US/Eastern')
# Check that the delta between the times is less than 1s (arbitrarily
# small)
delta = Timedelta(seconds=1)
assert abs(ts_from_method - ts_from_string) < delta
assert abs(ts_datetime - ts_from_method) < delta
assert abs(ts_from_method_tz - ts_from_string_tz) < delta
assert (abs(ts_from_string_tz.tz_localize(None) -
ts_from_method_tz.tz_localize(None)) < delta)
def test_today(self):
ts_from_string = Timestamp('today')
ts_from_method = Timestamp.today()
ts_datetime = datetime.today()
ts_from_string_tz = Timestamp('today', tz='US/Eastern')
ts_from_method_tz = Timestamp.today(tz='US/Eastern')
# Check that the delta between the times is less than 1s (arbitrarily
# small)
delta = Timedelta(seconds=1)
assert abs(ts_from_method - ts_from_string) < delta
assert abs(ts_datetime - ts_from_method) < delta
assert abs(ts_from_method_tz - ts_from_string_tz) < delta
assert (abs(ts_from_string_tz.tz_localize(None) -
ts_from_method_tz.tz_localize(None)) < delta)
@pytest.mark.parametrize('tz', [None, pytz.timezone('US/Pacific')])
def test_disallow_setting_tz(self, tz):
# GH 3746
ts = Timestamp('2010')
with pytest.raises(AttributeError):
ts.tz = tz
@pytest.mark.parametrize('offset', ['+0300', '+0200'])
def test_construct_timestamp_near_dst(self, offset):
# GH 20854
expected = Timestamp('2016-10-30 03:00:00{}'.format(offset),
tz='Europe/Helsinki')
result = Timestamp(expected).tz_convert('Europe/Helsinki')
assert result == expected
@pytest.mark.parametrize('arg', [
'2013/01/01 00:00:00+09:00', '2013-01-01 00:00:00+09:00'])
def test_construct_with_different_string_format(self, arg):
# GH 12064
result = Timestamp(arg)
expected = Timestamp(datetime(2013, 1, 1), tz=pytz.FixedOffset(540))
assert result == expected
def test_construct_timestamp_preserve_original_frequency(self):
# GH 22311
result = Timestamp(Timestamp('2010-08-08', freq='D')).freq
expected = offsets.Day()
assert result == expected
def test_constructor_invalid_frequency(self):
# GH 22311
with pytest.raises(ValueError, match="Invalid frequency:"):
Timestamp('2012-01-01', freq=[])
@pytest.mark.parametrize('box', [datetime, Timestamp])
def test_depreciate_tz_and_tzinfo_in_datetime_input(self, box):
# GH 23579
kwargs = {'year': 2018, 'month': 1, 'day': 1, 'tzinfo': utc}
with tm.assert_produces_warning(FutureWarning):
Timestamp(box(**kwargs), tz='US/Pacific')
def test_dont_convert_dateutil_utc_to_pytz_utc(self):
result = Timestamp(datetime(2018, 1, 1), tz=tzutc())
expected = Timestamp(datetime(2018, 1, 1)).tz_localize(tzutc())
assert result == expected
class TestTimestamp(object):
def test_tz(self):
tstr = '2014-02-01 09:00'
ts = Timestamp(tstr)
local = ts.tz_localize('Asia/Tokyo')
assert local.hour == 9
assert local == Timestamp(tstr, tz='Asia/Tokyo')
conv = local.tz_convert('US/Eastern')
assert conv == Timestamp('2014-01-31 19:00', tz='US/Eastern')
assert conv.hour == 19
# preserves nanosecond
ts = Timestamp(tstr) + offsets.Nano(5)
local = ts.tz_localize('Asia/Tokyo')
assert local.hour == 9
assert local.nanosecond == 5
conv = local.tz_convert('US/Eastern')
assert conv.nanosecond == 5
assert conv.hour == 19
def test_utc_z_designator(self):
assert get_timezone(Timestamp('2014-11-02 01:00Z').tzinfo) is utc
def test_asm8(self):
np.random.seed(7960929)
ns = [Timestamp.min.value, Timestamp.max.value, 1000]
for n in ns:
assert (Timestamp(n).asm8.view('i8') ==
np.datetime64(n, 'ns').view('i8') == n)
assert (Timestamp('nat').asm8.view('i8') ==
np.datetime64('nat', 'ns').view('i8'))
def test_class_ops_pytz(self):
def compare(x, y):
assert (int(Timestamp(x).value / 1e9) ==
int(Timestamp(y).value / 1e9))
compare(Timestamp.now(), datetime.now())
compare(Timestamp.now('UTC'), datetime.now(timezone('UTC')))
compare(Timestamp.utcnow(), datetime.utcnow())
compare(Timestamp.today(), datetime.today())
current_time = calendar.timegm(datetime.now().utctimetuple())
compare(Timestamp.utcfromtimestamp(current_time),
datetime.utcfromtimestamp(current_time))
compare(Timestamp.fromtimestamp(current_time),
datetime.fromtimestamp(current_time))
date_component = datetime.utcnow()
time_component = (date_component + timedelta(minutes=10)).time()
compare(Timestamp.combine(date_component, time_component),
datetime.combine(date_component, time_component))
def test_class_ops_dateutil(self):
def compare(x, y):
assert (int(np.round(Timestamp(x).value / 1e9)) ==
int(np.round(Timestamp(y).value / 1e9)))
compare(Timestamp.now(), datetime.now())
compare(Timestamp.now('UTC'), datetime.now(tzutc()))
compare(Timestamp.utcnow(), datetime.utcnow())
compare(Timestamp.today(), datetime.today())
current_time = calendar.timegm(datetime.now().utctimetuple())
compare(Timestamp.utcfromtimestamp(current_time),
datetime.utcfromtimestamp(current_time))
compare(Timestamp.fromtimestamp(current_time),
datetime.fromtimestamp(current_time))
date_component = datetime.utcnow()
time_component = (date_component + timedelta(minutes=10)).time()
compare(Timestamp.combine(date_component, time_component),
datetime.combine(date_component, time_component))
def test_basics_nanos(self):
val = np.int64(946684800000000000).view('M8[ns]')
stamp = Timestamp(val.view('i8') + 500)
assert stamp.year == 2000
assert stamp.month == 1
assert stamp.microsecond == 0
assert stamp.nanosecond == 500
# GH 14415
val = np.iinfo(np.int64).min + 80000000000000
stamp = Timestamp(val)
assert stamp.year == 1677
assert stamp.month == 9
assert stamp.day == 21
assert stamp.microsecond == 145224
assert stamp.nanosecond == 192
@pytest.mark.parametrize('value, check_kwargs', [
[946688461000000000, {}],
[946688461000000000 / long(1000), dict(unit='us')],
[946688461000000000 / long(1000000), dict(unit='ms')],
[946688461000000000 / long(1000000000), dict(unit='s')],
[10957, dict(unit='D', h=0)],
pytest.param((946688461000000000 + 500000) / long(1000000000),
dict(unit='s', us=499, ns=964),
marks=pytest.mark.skipif(not PY3,
reason='using truediv, so these'
' are like floats')),
pytest.param((946688461000000000 + 500000000) / long(1000000000),
dict(unit='s', us=500000),
marks=pytest.mark.skipif(not PY3,
reason='using truediv, so these'
' are like floats')),
pytest.param((946688461000000000 + 500000) / long(1000000),
dict(unit='ms', us=500),
marks=pytest.mark.skipif(not PY3,
reason='using truediv, so these'
' are like floats')),
pytest.param((946688461000000000 + 500000) / long(1000000000),
dict(unit='s'),
marks=pytest.mark.skipif(PY3,
reason='get chopped in py2')),
pytest.param((946688461000000000 + 500000000) / long(1000000000),
dict(unit='s'),
marks=pytest.mark.skipif(PY3,
reason='get chopped in py2')),
pytest.param((946688461000000000 + 500000) / long(1000000),
dict(unit='ms'),
marks=pytest.mark.skipif(PY3,
reason='get chopped in py2')),
[(946688461000000000 + 500000) / long(1000), dict(unit='us', us=500)],
[(946688461000000000 + 500000000) / long(1000000),
dict(unit='ms', us=500000)],
[946688461000000000 / 1000.0 + 5, dict(unit='us', us=5)],
[946688461000000000 / 1000.0 + 5000, dict(unit='us', us=5000)],
[946688461000000000 / 1000000.0 + 0.5, dict(unit='ms', us=500)],
[946688461000000000 / 1000000.0 + 0.005, dict(unit='ms', us=5, ns=5)],
[946688461000000000 / 1000000000.0 + 0.5, dict(unit='s', us=500000)],
[10957 + 0.5, dict(unit='D', h=12)]])
def test_unit(self, value, check_kwargs):
def check(value, unit=None, h=1, s=1, us=0, ns=0):
stamp = Timestamp(value, unit=unit)
assert stamp.year == 2000
assert stamp.month == 1
assert stamp.day == 1
assert stamp.hour == h
if unit != 'D':
assert stamp.minute == 1
assert stamp.second == s
assert stamp.microsecond == us
else:
assert stamp.minute == 0
assert stamp.second == 0
assert stamp.microsecond == 0
assert stamp.nanosecond == ns
check(value, **check_kwargs)
def test_roundtrip(self):
# test value to string and back conversions
# further test accessors
base = Timestamp('20140101 00:00:00')
result = Timestamp(base.value + Timedelta('5ms').value)
assert result == Timestamp(str(base) + ".005000")
assert result.microsecond == 5000
result = Timestamp(base.value + Timedelta('5us').value)
assert result == Timestamp(str(base) + ".000005")
assert result.microsecond == 5
result = Timestamp(base.value + Timedelta('5ns').value)
assert result == Timestamp(str(base) + ".000000005")
assert result.nanosecond == 5
assert result.microsecond == 0
result = Timestamp(base.value + Timedelta('6ms 5us').value)
assert result == Timestamp(str(base) + ".006005")
assert result.microsecond == 5 + 6 * 1000
result = Timestamp(base.value + Timedelta('200ms 5us').value)
assert result == Timestamp(str(base) + ".200005")
assert result.microsecond == 5 + 200 * 1000
def test_hash_equivalent(self):
d = {datetime(2011, 1, 1): 5}
stamp = Timestamp(datetime(2011, 1, 1))
assert d[stamp] == 5
class TestTimestampNsOperations(object):
def setup_method(self, method):
self.timestamp = Timestamp(datetime.utcnow())
def assert_ns_timedelta(self, modified_timestamp, expected_value):
value = self.timestamp.value
modified_value = modified_timestamp.value
assert modified_value - value == expected_value
def test_timedelta_ns_arithmetic(self):
self.assert_ns_timedelta(self.timestamp + np.timedelta64(-123, 'ns'),
-123)
def test_timedelta_ns_based_arithmetic(self):
self.assert_ns_timedelta(self.timestamp + np.timedelta64(
1234567898, 'ns'), 1234567898)
def test_timedelta_us_arithmetic(self):
self.assert_ns_timedelta(self.timestamp + np.timedelta64(-123, 'us'),
-123000)
def test_timedelta_ms_arithmetic(self):
time = self.timestamp + np.timedelta64(-123, 'ms')
self.assert_ns_timedelta(time, -123000000)
def test_nanosecond_string_parsing(self):
ts = Timestamp('2013-05-01 07:15:45.123456789')
# GH 7878
expected_repr = '2013-05-01 07:15:45.123456789'
expected_value = 1367392545123456789
assert ts.value == expected_value
assert expected_repr in repr(ts)
ts = Timestamp('2013-05-01 07:15:45.123456789+09:00', tz='Asia/Tokyo')
assert ts.value == expected_value - 9 * 3600 * 1000000000
assert expected_repr in repr(ts)
ts = Timestamp('2013-05-01 07:15:45.123456789', tz='UTC')
assert ts.value == expected_value
assert expected_repr in repr(ts)
ts = Timestamp('2013-05-01 07:15:45.123456789', tz='US/Eastern')
assert ts.value == expected_value + 4 * 3600 * 1000000000
assert expected_repr in repr(ts)
# GH 10041
ts = Timestamp('20130501T071545.123456789')
assert ts.value == expected_value
assert expected_repr in repr(ts)
def test_nanosecond_timestamp(self):
# GH 7610
expected = 1293840000000000005
t = Timestamp('2011-01-01') + offsets.Nano(5)
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
assert t.value == expected
assert t.nanosecond == 5
t = Timestamp(t)
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
assert t.value == expected
assert t.nanosecond == 5
t = Timestamp(np_datetime64_compat('2011-01-01 00:00:00.000000005Z'))
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
assert t.value == expected
assert t.nanosecond == 5
expected = 1293840000000000010
t = t + offsets.Nano(5)
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
assert t.value == expected
assert t.nanosecond == 10
t = Timestamp(t)
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
assert t.value == expected
assert t.nanosecond == 10
t = Timestamp(np_datetime64_compat('2011-01-01 00:00:00.000000010Z'))
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
assert t.value == expected
assert t.nanosecond == 10
class TestTimestampToJulianDate(object):
def test_compare_1700(self):
r = Timestamp('1700-06-23').to_julian_date()
assert r == 2342145.5
def test_compare_2000(self):
r = Timestamp('2000-04-12').to_julian_date()
assert r == 2451646.5
def test_compare_2100(self):
r = Timestamp('2100-08-12').to_julian_date()
assert r == 2488292.5
def test_compare_hour01(self):
r = Timestamp('2000-08-12T01:00:00').to_julian_date()
assert r == 2451768.5416666666666666
def test_compare_hour13(self):
r = Timestamp('2000-08-12T13:00:00').to_julian_date()
assert r == 2451769.0416666666666666
class TestTimestampConversion(object):
def test_conversion(self):
# GH#9255
ts = Timestamp('2000-01-01')
result = ts.to_pydatetime()
expected = datetime(2000, 1, 1)
assert result == expected
assert type(result) == type(expected)
result = ts.to_datetime64()
expected = np.datetime64(ts.value, 'ns')
assert result == expected
assert type(result) == type(expected)
assert result.dtype == expected.dtype
def test_to_pydatetime_nonzero_nano(self):
ts = Timestamp('2011-01-01 9:00:00.123456789')
# Warn the user of data loss (nanoseconds).
with tm.assert_produces_warning(UserWarning,
check_stacklevel=False):
expected = datetime(2011, 1, 1, 9, 0, 0, 123456)
result = ts.to_pydatetime()
assert result == expected
def test_timestamp_to_datetime(self):
stamp = Timestamp('20090415', tz='US/Eastern', freq='D')
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo
def test_timestamp_to_datetime_dateutil(self):
stamp = Timestamp('20090415', tz='dateutil/US/Eastern', freq='D')
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo
def test_timestamp_to_datetime_explicit_pytz(self):
stamp = Timestamp('20090415', tz=pytz.timezone('US/Eastern'), freq='D')
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo
@td.skip_if_windows_python_3
def test_timestamp_to_datetime_explicit_dateutil(self):
stamp = Timestamp('20090415', tz=gettz('US/Eastern'), freq='D')
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo
def test_to_datetime_bijective(self):
# Ensure that converting to datetime and back only loses precision
# by going from nanoseconds to microseconds.
exp_warning = None if Timestamp.max.nanosecond == 0 else UserWarning
with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
assert (Timestamp(Timestamp.max.to_pydatetime()).value / 1000 ==
Timestamp.max.value / 1000)
exp_warning = None if Timestamp.min.nanosecond == 0 else UserWarning
with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
assert (Timestamp(Timestamp.min.to_pydatetime()).value / 1000 ==
Timestamp.min.value / 1000)
def test_to_period_tz_warning(self):
# GH#21333 make sure a warning is issued when timezone
# info is lost
ts = Timestamp('2009-04-15 16:17:18', tz='US/Eastern')
with tm.assert_produces_warning(UserWarning):
# warning that timezone info will be lost
ts.to_period('D')
@@ -0,0 +1,389 @@
# -*- coding: utf-8 -*-
"""
Tests for Timestamp timezone-related methods
"""
from datetime import date, datetime, timedelta
from distutils.version import LooseVersion
import dateutil
from dateutil.tz import gettz, tzoffset
import pytest
import pytz
from pytz.exceptions import AmbiguousTimeError, NonExistentTimeError
from pandas._libs.tslibs import timezones
from pandas.errors import OutOfBoundsDatetime
import pandas.util._test_decorators as td
from pandas import NaT, Timestamp
import pandas.util.testing as tm
class TestTimestampTZOperations(object):
# --------------------------------------------------------------
# Timestamp.tz_localize
def test_tz_localize_pushes_out_of_bounds(self):
# GH#12677
# tz_localize that pushes away from the boundary is OK
pac = Timestamp.min.tz_localize('US/Pacific')
assert pac.value > Timestamp.min.value
pac.tz_convert('Asia/Tokyo') # tz_convert doesn't change value
with pytest.raises(OutOfBoundsDatetime):
Timestamp.min.tz_localize('Asia/Tokyo')
# tz_localize that pushes away from the boundary is OK
tokyo = Timestamp.max.tz_localize('Asia/Tokyo')
assert tokyo.value < Timestamp.max.value
tokyo.tz_convert('US/Pacific') # tz_convert doesn't change value
with pytest.raises(OutOfBoundsDatetime):
Timestamp.max.tz_localize('US/Pacific')
def test_tz_localize_ambiguous_bool(self):
# make sure that we are correctly accepting bool values as ambiguous
# GH#14402
ts = Timestamp('2015-11-01 01:00:03')
expected0 = Timestamp('2015-11-01 01:00:03-0500', tz='US/Central')
expected1 = Timestamp('2015-11-01 01:00:03-0600', tz='US/Central')
with pytest.raises(pytz.AmbiguousTimeError):
ts.tz_localize('US/Central')
result = ts.tz_localize('US/Central', ambiguous=True)
assert result == expected0
result = ts.tz_localize('US/Central', ambiguous=False)
assert result == expected1
def test_tz_localize_ambiguous(self):
ts = Timestamp('2014-11-02 01:00')
ts_dst = ts.tz_localize('US/Eastern', ambiguous=True)
ts_no_dst = ts.tz_localize('US/Eastern', ambiguous=False)
assert (ts_no_dst.value - ts_dst.value) / 1e9 == 3600
with pytest.raises(ValueError):
ts.tz_localize('US/Eastern', ambiguous='infer')
# GH#8025
msg = ('Cannot localize tz-aware Timestamp, '
'use tz_convert for conversions')
with pytest.raises(TypeError, match=msg):
Timestamp('2011-01-01', tz='US/Eastern').tz_localize('Asia/Tokyo')
msg = ('Cannot convert tz-naive Timestamp, '
'use tz_localize to localize')
with pytest.raises(TypeError, match=msg):
Timestamp('2011-01-01').tz_convert('Asia/Tokyo')
@pytest.mark.parametrize('stamp, tz', [
('2015-03-08 02:00', 'US/Eastern'),
('2015-03-08 02:30', 'US/Pacific'),
('2015-03-29 02:00', 'Europe/Paris'),
('2015-03-29 02:30', 'Europe/Belgrade')])
@pytest.mark.filterwarnings('ignore::FutureWarning')
def test_tz_localize_nonexistent(self, stamp, tz):
# GH#13057
ts = Timestamp(stamp)
with pytest.raises(NonExistentTimeError):
ts.tz_localize(tz)
# GH 22644
with pytest.raises(NonExistentTimeError):
with tm.assert_produces_warning(FutureWarning):
ts.tz_localize(tz, errors='raise')
with tm.assert_produces_warning(FutureWarning):
assert ts.tz_localize(tz, errors='coerce') is NaT
def test_tz_localize_errors_ambiguous(self):
# GH#13057
ts = Timestamp('2015-11-1 01:00')
with pytest.raises(AmbiguousTimeError):
with tm.assert_produces_warning(FutureWarning):
ts.tz_localize('US/Pacific', errors='coerce')
@pytest.mark.filterwarnings('ignore::FutureWarning')
def test_tz_localize_errors_invalid_arg(self):
# GH 22644
tz = 'Europe/Warsaw'
ts = Timestamp('2015-03-29 02:00:00')
with pytest.raises(ValueError):
with tm.assert_produces_warning(FutureWarning):
ts.tz_localize(tz, errors='foo')
def test_tz_localize_errors_coerce(self):
# GH 22644
# make sure errors='coerce' gets mapped correctly to nonexistent
tz = 'Europe/Warsaw'
ts = Timestamp('2015-03-29 02:00:00')
with tm.assert_produces_warning(FutureWarning):
result = ts.tz_localize(tz, errors='coerce')
expected = ts.tz_localize(tz, nonexistent='NaT')
assert result is expected
@pytest.mark.parametrize('stamp', ['2014-02-01 09:00', '2014-07-08 09:00',
'2014-11-01 17:00', '2014-11-05 00:00'])
def test_tz_localize_roundtrip(self, stamp, tz_aware_fixture):
tz = tz_aware_fixture
ts = Timestamp(stamp)
localized = ts.tz_localize(tz)
assert localized == Timestamp(stamp, tz=tz)
with pytest.raises(TypeError):
localized.tz_localize(tz)
reset = localized.tz_localize(None)
assert reset == ts
assert reset.tzinfo is None
def test_tz_localize_ambiguous_compat(self):
# validate that pytz and dateutil are compat for dst
# when the transition happens
naive = Timestamp('2013-10-27 01:00:00')
pytz_zone = 'Europe/London'
dateutil_zone = 'dateutil/Europe/London'
result_pytz = naive.tz_localize(pytz_zone, ambiguous=0)
result_dateutil = naive.tz_localize(dateutil_zone, ambiguous=0)
assert result_pytz.value == result_dateutil.value
assert result_pytz.value == 1382835600000000000
if LooseVersion(dateutil.__version__) < LooseVersion('2.6.0'):
# dateutil 2.6 buggy w.r.t. ambiguous=0
# see gh-14621
# see https://github.com/dateutil/dateutil/issues/321
assert (result_pytz.to_pydatetime().tzname() ==
result_dateutil.to_pydatetime().tzname())
assert str(result_pytz) == str(result_dateutil)
elif LooseVersion(dateutil.__version__) > LooseVersion('2.6.0'):
# fixed ambiguous behavior
assert result_pytz.to_pydatetime().tzname() == 'GMT'
assert result_dateutil.to_pydatetime().tzname() == 'BST'
assert str(result_pytz) != str(result_dateutil)
# 1 hour difference
result_pytz = naive.tz_localize(pytz_zone, ambiguous=1)
result_dateutil = naive.tz_localize(dateutil_zone, ambiguous=1)
assert result_pytz.value == result_dateutil.value
assert result_pytz.value == 1382832000000000000
# dateutil < 2.6 is buggy w.r.t. ambiguous timezones
if LooseVersion(dateutil.__version__) > LooseVersion('2.5.3'):
# see gh-14621
assert str(result_pytz) == str(result_dateutil)
assert (result_pytz.to_pydatetime().tzname() ==
result_dateutil.to_pydatetime().tzname())
@pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'),
gettz('US/Eastern'),
'US/Eastern', 'dateutil/US/Eastern'])
def test_timestamp_tz_localize(self, tz):
stamp = Timestamp('3/11/2012 04:00')
result = stamp.tz_localize(tz)
expected = Timestamp('3/11/2012 04:00', tz=tz)
assert result.hour == expected.hour
assert result == expected
@pytest.mark.parametrize('start_ts, tz, end_ts, shift', [
['2015-03-29 02:20:00', 'Europe/Warsaw', '2015-03-29 03:00:00',
'forward'],
['2015-03-29 02:20:00', 'Europe/Warsaw',
'2015-03-29 01:59:59.999999999', 'backward'],
['2015-03-29 02:20:00', 'Europe/Warsaw',
'2015-03-29 03:20:00', timedelta(hours=1)],
['2015-03-29 02:20:00', 'Europe/Warsaw',
'2015-03-29 01:20:00', timedelta(hours=-1)],
['2018-03-11 02:33:00', 'US/Pacific', '2018-03-11 03:00:00',
'forward'],
['2018-03-11 02:33:00', 'US/Pacific', '2018-03-11 01:59:59.999999999',
'backward'],
['2018-03-11 02:33:00', 'US/Pacific', '2018-03-11 03:33:00',
timedelta(hours=1)],
['2018-03-11 02:33:00', 'US/Pacific', '2018-03-11 01:33:00',
timedelta(hours=-1)]
])
@pytest.mark.parametrize('tz_type', ['', 'dateutil/'])
def test_timestamp_tz_localize_nonexistent_shift(self, start_ts, tz,
end_ts, shift,
tz_type):
# GH 8917, 24466
tz = tz_type + tz
if isinstance(shift, str):
shift = 'shift_' + shift
ts = Timestamp(start_ts)
result = ts.tz_localize(tz, nonexistent=shift)
expected = Timestamp(end_ts).tz_localize(tz)
assert result == expected
@pytest.mark.parametrize('offset', [-1, 1])
@pytest.mark.parametrize('tz_type', ['', 'dateutil/'])
def test_timestamp_tz_localize_nonexistent_shift_invalid(self, offset,
tz_type):
# GH 8917, 24466
tz = tz_type + 'Europe/Warsaw'
ts = Timestamp('2015-03-29 02:20:00')
msg = "The provided timedelta will relocalize on a nonexistent time"
with pytest.raises(ValueError, match=msg):
ts.tz_localize(tz, nonexistent=timedelta(seconds=offset))
@pytest.mark.parametrize('tz', ['Europe/Warsaw', 'dateutil/Europe/Warsaw'])
def test_timestamp_tz_localize_nonexistent_NaT(self, tz):
# GH 8917
ts = Timestamp('2015-03-29 02:20:00')
result = ts.tz_localize(tz, nonexistent='NaT')
assert result is NaT
@pytest.mark.parametrize('tz', ['Europe/Warsaw', 'dateutil/Europe/Warsaw'])
def test_timestamp_tz_localize_nonexistent_raise(self, tz):
# GH 8917
ts = Timestamp('2015-03-29 02:20:00')
with pytest.raises(pytz.NonExistentTimeError):
ts.tz_localize(tz, nonexistent='raise')
with pytest.raises(ValueError):
ts.tz_localize(tz, nonexistent='foo')
# ------------------------------------------------------------------
# Timestamp.tz_convert
@pytest.mark.parametrize('stamp', ['2014-02-01 09:00', '2014-07-08 09:00',
'2014-11-01 17:00', '2014-11-05 00:00'])
def test_tz_convert_roundtrip(self, stamp, tz_aware_fixture):
tz = tz_aware_fixture
ts = Timestamp(stamp, tz='UTC')
converted = ts.tz_convert(tz)
reset = converted.tz_convert(None)
assert reset == Timestamp(stamp)
assert reset.tzinfo is None
assert reset == converted.tz_convert('UTC').tz_localize(None)
@pytest.mark.parametrize('tzstr', ['US/Eastern', 'dateutil/US/Eastern'])
def test_astimezone(self, tzstr):
# astimezone is an alias for tz_convert, so keep it with
# the tz_convert tests
utcdate = Timestamp('3/11/2012 22:00', tz='UTC')
expected = utcdate.tz_convert(tzstr)
result = utcdate.astimezone(tzstr)
assert expected == result
assert isinstance(result, Timestamp)
@td.skip_if_windows
def test_tz_convert_utc_with_system_utc(self):
from pandas._libs.tslibs.timezones import maybe_get_tz
# from system utc to real utc
ts = Timestamp('2001-01-05 11:56', tz=maybe_get_tz('dateutil/UTC'))
# check that the time hasn't changed.
assert ts == ts.tz_convert(dateutil.tz.tzutc())
# from system utc to real utc
ts = Timestamp('2001-01-05 11:56', tz=maybe_get_tz('dateutil/UTC'))
# check that the time hasn't changed.
assert ts == ts.tz_convert(dateutil.tz.tzutc())
# ------------------------------------------------------------------
# Timestamp.__init__ with tz str or tzinfo
def test_timestamp_constructor_tz_utc(self):
utc_stamp = Timestamp('3/11/2012 05:00', tz='utc')
assert utc_stamp.tzinfo is pytz.utc
assert utc_stamp.hour == 5
utc_stamp = Timestamp('3/11/2012 05:00').tz_localize('utc')
assert utc_stamp.hour == 5
def test_timestamp_to_datetime_tzoffset(self):
tzinfo = tzoffset(None, 7200)
expected = Timestamp('3/11/2012 04:00', tz=tzinfo)
result = Timestamp(expected.to_pydatetime())
assert expected == result
def test_timestamp_constructor_near_dst_boundary(self):
# GH#11481 & GH#15777
# Naive string timestamps were being localized incorrectly
# with tz_convert_single instead of tz_localize_to_utc
for tz in ['Europe/Brussels', 'Europe/Prague']:
result = Timestamp('2015-10-25 01:00', tz=tz)
expected = Timestamp('2015-10-25 01:00').tz_localize(tz)
assert result == expected
with pytest.raises(pytz.AmbiguousTimeError):
Timestamp('2015-10-25 02:00', tz=tz)
result = Timestamp('2017-03-26 01:00', tz='Europe/Paris')
expected = Timestamp('2017-03-26 01:00').tz_localize('Europe/Paris')
assert result == expected
with pytest.raises(pytz.NonExistentTimeError):
Timestamp('2017-03-26 02:00', tz='Europe/Paris')
# GH#11708
naive = Timestamp('2015-11-18 10:00:00')
result = naive.tz_localize('UTC').tz_convert('Asia/Kolkata')
expected = Timestamp('2015-11-18 15:30:00+0530', tz='Asia/Kolkata')
assert result == expected
# GH#15823
result = Timestamp('2017-03-26 00:00', tz='Europe/Paris')
expected = Timestamp('2017-03-26 00:00:00+0100', tz='Europe/Paris')
assert result == expected
result = Timestamp('2017-03-26 01:00', tz='Europe/Paris')
expected = Timestamp('2017-03-26 01:00:00+0100', tz='Europe/Paris')
assert result == expected
with pytest.raises(pytz.NonExistentTimeError):
Timestamp('2017-03-26 02:00', tz='Europe/Paris')
result = Timestamp('2017-03-26 02:00:00+0100', tz='Europe/Paris')
naive = Timestamp(result.value)
expected = naive.tz_localize('UTC').tz_convert('Europe/Paris')
assert result == expected
result = Timestamp('2017-03-26 03:00', tz='Europe/Paris')
expected = Timestamp('2017-03-26 03:00:00+0200', tz='Europe/Paris')
assert result == expected
@pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'),
gettz('US/Eastern'),
'US/Eastern', 'dateutil/US/Eastern'])
def test_timestamp_constructed_by_date_and_tz(self, tz):
# GH#2993, Timestamp cannot be constructed by datetime.date
# and tz correctly
result = Timestamp(date(2012, 3, 11), tz=tz)
expected = Timestamp('3/11/2012', tz=tz)
assert result.hour == expected.hour
assert result == expected
@pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'),
gettz('US/Eastern'),
'US/Eastern', 'dateutil/US/Eastern'])
def test_timestamp_add_timedelta_push_over_dst_boundary(self, tz):
# GH#1389
# 4 hours before DST transition
stamp = Timestamp('3/10/2012 22:00', tz=tz)
result = stamp + timedelta(hours=6)
# spring forward, + "7" hours
expected = Timestamp('3/11/2012 05:00', tz=tz)
assert result == expected
def test_timestamp_timetz_equivalent_with_datetime_tz(self,
tz_naive_fixture):
# GH21358
tz = timezones.maybe_get_tz(tz_naive_fixture)
stamp = Timestamp('2018-06-04 10:20:30', tz=tz)
_datetime = datetime(2018, 6, 4, hour=10,
minute=20, second=30, tzinfo=tz)
result = stamp.timetz()
expected = _datetime.timetz()
assert result == expected
@@ -0,0 +1,364 @@
# -*- coding: utf-8 -*-
from datetime import datetime
from dateutil.tz import gettz
import pytest
import pytz
from pytz import utc
from pandas._libs.tslibs import conversion
from pandas._libs.tslibs.frequencies import INVALID_FREQ_ERR_MSG
from pandas.compat import PY3
import pandas.util._test_decorators as td
from pandas import NaT, Timestamp
import pandas.util.testing as tm
from pandas.tseries.frequencies import to_offset
class TestTimestampUnaryOps(object):
# --------------------------------------------------------------
# Timestamp.round
@pytest.mark.parametrize('timestamp, freq, expected', [
('20130101 09:10:11', 'D', '20130101'),
('20130101 19:10:11', 'D', '20130102'),
('20130201 12:00:00', 'D', '20130202'),
('20130104 12:00:00', 'D', '20130105'),
('2000-01-05 05:09:15.13', 'D', '2000-01-05 00:00:00'),
('2000-01-05 05:09:15.13', 'H', '2000-01-05 05:00:00'),
('2000-01-05 05:09:15.13', 'S', '2000-01-05 05:09:15')
])
def test_round_frequencies(self, timestamp, freq, expected):
dt = Timestamp(timestamp)
result = dt.round(freq)
expected = Timestamp(expected)
assert result == expected
def test_round_tzaware(self):
dt = Timestamp('20130101 09:10:11', tz='US/Eastern')
result = dt.round('D')
expected = Timestamp('20130101', tz='US/Eastern')
assert result == expected
dt = Timestamp('20130101 09:10:11', tz='US/Eastern')
result = dt.round('s')
assert result == dt
def test_round_30min(self):
# round
dt = Timestamp('20130104 12:32:00')
result = dt.round('30Min')
expected = Timestamp('20130104 12:30:00')
assert result == expected
def test_round_subsecond(self):
# GH#14440 & GH#15578
result = Timestamp('2016-10-17 12:00:00.0015').round('ms')
expected = Timestamp('2016-10-17 12:00:00.002000')
assert result == expected
result = Timestamp('2016-10-17 12:00:00.00149').round('ms')
expected = Timestamp('2016-10-17 12:00:00.001000')
assert result == expected
ts = Timestamp('2016-10-17 12:00:00.0015')
for freq in ['us', 'ns']:
assert ts == ts.round(freq)
result = Timestamp('2016-10-17 12:00:00.001501031').round('10ns')
expected = Timestamp('2016-10-17 12:00:00.001501030')
assert result == expected
def test_round_nonstandard_freq(self):
with tm.assert_produces_warning(False):
Timestamp('2016-10-17 12:00:00.001501031').round('1010ns')
def test_round_invalid_arg(self):
stamp = Timestamp('2000-01-05 05:09:15.13')
with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG):
stamp.round('foo')
@pytest.mark.parametrize('test_input, rounder, freq, expected', [
('2117-01-01 00:00:45', 'floor', '15s', '2117-01-01 00:00:45'),
('2117-01-01 00:00:45', 'ceil', '15s', '2117-01-01 00:00:45'),
('2117-01-01 00:00:45.000000012', 'floor', '10ns',
'2117-01-01 00:00:45.000000010'),
('1823-01-01 00:00:01.000000012', 'ceil', '10ns',
'1823-01-01 00:00:01.000000020'),
('1823-01-01 00:00:01', 'floor', '1s', '1823-01-01 00:00:01'),
('1823-01-01 00:00:01', 'ceil', '1s', '1823-01-01 00:00:01'),
('NaT', 'floor', '1s', 'NaT'),
('NaT', 'ceil', '1s', 'NaT')
])
def test_ceil_floor_edge(self, test_input, rounder, freq, expected):
dt = Timestamp(test_input)
func = getattr(dt, rounder)
result = func(freq)
if dt is NaT:
assert result is NaT
else:
expected = Timestamp(expected)
assert result == expected
@pytest.mark.parametrize('test_input, freq, expected', [
('2018-01-01 00:02:06', '2s', '2018-01-01 00:02:06'),
('2018-01-01 00:02:00', '2T', '2018-01-01 00:02:00'),
('2018-01-01 00:04:00', '4T', '2018-01-01 00:04:00'),
('2018-01-01 00:15:00', '15T', '2018-01-01 00:15:00'),
('2018-01-01 00:20:00', '20T', '2018-01-01 00:20:00'),
('2018-01-01 03:00:00', '3H', '2018-01-01 03:00:00'),
])
@pytest.mark.parametrize('rounder', ['ceil', 'floor', 'round'])
def test_round_minute_freq(self, test_input, freq, expected, rounder):
# Ensure timestamps that shouldnt round dont!
# GH#21262
dt = Timestamp(test_input)
expected = Timestamp(expected)
func = getattr(dt, rounder)
result = func(freq)
assert result == expected
def test_ceil(self):
dt = Timestamp('20130101 09:10:11')
result = dt.ceil('D')
expected = Timestamp('20130102')
assert result == expected
def test_floor(self):
dt = Timestamp('20130101 09:10:11')
result = dt.floor('D')
expected = Timestamp('20130101')
assert result == expected
@pytest.mark.parametrize('method', ['ceil', 'round', 'floor'])
def test_round_dst_border_ambiguous(self, method):
# GH 18946 round near "fall back" DST
ts = Timestamp('2017-10-29 00:00:00', tz='UTC').tz_convert(
'Europe/Madrid'
)
#
result = getattr(ts, method)('H', ambiguous=True)
assert result == ts
result = getattr(ts, method)('H', ambiguous=False)
expected = Timestamp('2017-10-29 01:00:00', tz='UTC').tz_convert(
'Europe/Madrid'
)
assert result == expected
result = getattr(ts, method)('H', ambiguous='NaT')
assert result is NaT
with pytest.raises(pytz.AmbiguousTimeError):
getattr(ts, method)('H', ambiguous='raise')
@pytest.mark.parametrize('method, ts_str, freq', [
['ceil', '2018-03-11 01:59:00-0600', '5min'],
['round', '2018-03-11 01:59:00-0600', '5min'],
['floor', '2018-03-11 03:01:00-0500', '2H']])
def test_round_dst_border_nonexistent(self, method, ts_str, freq):
# GH 23324 round near "spring forward" DST
ts = Timestamp(ts_str, tz='America/Chicago')
result = getattr(ts, method)(freq, nonexistent='shift_forward')
expected = Timestamp('2018-03-11 03:00:00', tz='America/Chicago')
assert result == expected
result = getattr(ts, method)(freq, nonexistent='NaT')
assert result is NaT
with pytest.raises(pytz.NonExistentTimeError,
match='2018-03-11 02:00:00'):
getattr(ts, method)(freq, nonexistent='raise')
@pytest.mark.parametrize('timestamp', [
'2018-01-01 0:0:0.124999360',
'2018-01-01 0:0:0.125000367',
'2018-01-01 0:0:0.125500',
'2018-01-01 0:0:0.126500',
'2018-01-01 12:00:00',
'2019-01-01 12:00:00',
])
@pytest.mark.parametrize('freq', [
'2ns', '3ns', '4ns', '5ns', '6ns', '7ns',
'250ns', '500ns', '750ns',
'1us', '19us', '250us', '500us', '750us',
'1s', '2s', '3s',
'1D',
])
def test_round_int64(self, timestamp, freq):
"""check that all rounding modes are accurate to int64 precision
see GH#22591
"""
dt = Timestamp(timestamp)
unit = to_offset(freq).nanos
# test floor
result = dt.floor(freq)
assert result.value % unit == 0, "floor not a {} multiple".format(freq)
assert 0 <= dt.value - result.value < unit, "floor error"
# test ceil
result = dt.ceil(freq)
assert result.value % unit == 0, "ceil not a {} multiple".format(freq)
assert 0 <= result.value - dt.value < unit, "ceil error"
# test round
result = dt.round(freq)
assert result.value % unit == 0, "round not a {} multiple".format(freq)
assert abs(result.value - dt.value) <= unit // 2, "round error"
if unit % 2 == 0 and abs(result.value - dt.value) == unit // 2:
# round half to even
assert result.value // unit % 2 == 0, "round half to even error"
# --------------------------------------------------------------
# Timestamp.replace
def test_replace_naive(self):
# GH#14621, GH#7825
ts = Timestamp('2016-01-01 09:00:00')
result = ts.replace(hour=0)
expected = Timestamp('2016-01-01 00:00:00')
assert result == expected
def test_replace_aware(self, tz_aware_fixture):
tz = tz_aware_fixture
# GH#14621, GH#7825
# replacing datetime components with and w/o presence of a timezone
ts = Timestamp('2016-01-01 09:00:00', tz=tz)
result = ts.replace(hour=0)
expected = Timestamp('2016-01-01 00:00:00', tz=tz)
assert result == expected
def test_replace_preserves_nanos(self, tz_aware_fixture):
tz = tz_aware_fixture
# GH#14621, GH#7825
ts = Timestamp('2016-01-01 09:00:00.000000123', tz=tz)
result = ts.replace(hour=0)
expected = Timestamp('2016-01-01 00:00:00.000000123', tz=tz)
assert result == expected
def test_replace_multiple(self, tz_aware_fixture):
tz = tz_aware_fixture
# GH#14621, GH#7825
# replacing datetime components with and w/o presence of a timezone
# test all
ts = Timestamp('2016-01-01 09:00:00.000000123', tz=tz)
result = ts.replace(year=2015, month=2, day=2, hour=0, minute=5,
second=5, microsecond=5, nanosecond=5)
expected = Timestamp('2015-02-02 00:05:05.000005005', tz=tz)
assert result == expected
def test_replace_invalid_kwarg(self, tz_aware_fixture):
tz = tz_aware_fixture
# GH#14621, GH#7825
ts = Timestamp('2016-01-01 09:00:00.000000123', tz=tz)
with pytest.raises(TypeError):
ts.replace(foo=5)
def test_replace_integer_args(self, tz_aware_fixture):
tz = tz_aware_fixture
# GH#14621, GH#7825
ts = Timestamp('2016-01-01 09:00:00.000000123', tz=tz)
with pytest.raises(ValueError):
ts.replace(hour=0.1)
def test_replace_tzinfo_equiv_tz_localize_none(self):
# GH#14621, GH#7825
# assert conversion to naive is the same as replacing tzinfo with None
ts = Timestamp('2013-11-03 01:59:59.999999-0400', tz='US/Eastern')
assert ts.tz_localize(None) == ts.replace(tzinfo=None)
@td.skip_if_windows
def test_replace_tzinfo(self):
# GH#15683
dt = datetime(2016, 3, 27, 1)
tzinfo = pytz.timezone('CET').localize(dt, is_dst=False).tzinfo
result_dt = dt.replace(tzinfo=tzinfo)
result_pd = Timestamp(dt).replace(tzinfo=tzinfo)
if PY3:
# datetime.timestamp() converts in the local timezone
with tm.set_timezone('UTC'):
assert result_dt.timestamp() == result_pd.timestamp()
assert result_dt == result_pd
assert result_dt == result_pd.to_pydatetime()
result_dt = dt.replace(tzinfo=tzinfo).replace(tzinfo=None)
result_pd = Timestamp(dt).replace(tzinfo=tzinfo).replace(tzinfo=None)
if PY3:
# datetime.timestamp() converts in the local timezone
with tm.set_timezone('UTC'):
assert result_dt.timestamp() == result_pd.timestamp()
assert result_dt == result_pd
assert result_dt == result_pd.to_pydatetime()
@pytest.mark.parametrize('tz, normalize', [
(pytz.timezone('US/Eastern'), lambda x: x.tzinfo.normalize(x)),
(gettz('US/Eastern'), lambda x: x)])
def test_replace_across_dst(self, tz, normalize):
# GH#18319 check that 1) timezone is correctly normalized and
# 2) that hour is not incorrectly changed by this normalization
ts_naive = Timestamp('2017-12-03 16:03:30')
ts_aware = conversion.localize_pydatetime(ts_naive, tz)
# Preliminary sanity-check
assert ts_aware == normalize(ts_aware)
# Replace across DST boundary
ts2 = ts_aware.replace(month=6)
# Check that `replace` preserves hour literal
assert (ts2.hour, ts2.minute) == (ts_aware.hour, ts_aware.minute)
# Check that post-replace object is appropriately normalized
ts2b = normalize(ts2)
assert ts2 == ts2b
def test_replace_dst_border(self):
# Gh 7825
t = Timestamp('2013-11-3', tz='America/Chicago')
result = t.replace(hour=3)
expected = Timestamp('2013-11-3 03:00:00', tz='America/Chicago')
assert result == expected
# --------------------------------------------------------------
# Timestamp.normalize
@pytest.mark.parametrize('arg', ['2013-11-30', '2013-11-30 12:00:00'])
def test_normalize(self, tz_naive_fixture, arg):
tz = tz_naive_fixture
ts = Timestamp(arg, tz=tz)
result = ts.normalize()
expected = Timestamp('2013-11-30', tz=tz)
assert result == expected
# --------------------------------------------------------------
@td.skip_if_windows
def test_timestamp(self):
# GH#17329
# tz-naive --> treat it as if it were UTC for purposes of timestamp()
ts = Timestamp.now()
uts = ts.replace(tzinfo=utc)
assert ts.timestamp() == uts.timestamp()
tsc = Timestamp('2014-10-11 11:00:01.12345678', tz='US/Central')
utsc = tsc.tz_convert('UTC')
# utsc is a different representation of the same time
assert tsc.timestamp() == utsc.timestamp()
if PY3:
# datetime.timestamp() converts in the local timezone
with tm.set_timezone('UTC'):
# should agree with datetime.timestamp method
dt = ts.to_pydatetime()
assert dt.timestamp() == ts.timestamp()