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test_timezones.py
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# -*- coding: utf-8 -*-
"""
Tests for DatetimeIndex timezone-related methods
"""
from datetime import date, datetime, time, timedelta, tzinfo
from distutils.version import LooseVersion
import dateutil
from dateutil.tz import gettz, tzlocal
import numpy as np
import pytest
import pytz
from pandas._libs.tslibs import conversion, timezones
from pandas.compat import PY3, lrange, zip
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
DatetimeIndex, Index, Timestamp, bdate_range, date_range, isna,
to_datetime)
import pandas.util.testing as tm
class FixedOffset(tzinfo):
"""Fixed offset in minutes east from UTC."""
def __init__(self, offset, name):
self.__offset = timedelta(minutes=offset)
self.__name = name
def utcoffset(self, dt):
return self.__offset
def tzname(self, dt):
return self.__name
def dst(self, dt):
return timedelta(0)
fixed_off = FixedOffset(-420, '-07:00')
fixed_off_no_name = FixedOffset(-330, None)
class TestDatetimeIndexTimezones(object):
# -------------------------------------------------------------
# DatetimeIndex.tz_convert
def test_tz_convert_nat(self):
# GH#5546
dates = [pd.NaT]
idx = DatetimeIndex(dates)
idx = idx.tz_localize('US/Pacific')
tm.assert_index_equal(idx, DatetimeIndex(dates, tz='US/Pacific'))
idx = idx.tz_convert('US/Eastern')
tm.assert_index_equal(idx, DatetimeIndex(dates, tz='US/Eastern'))
idx = idx.tz_convert('UTC')
tm.assert_index_equal(idx, DatetimeIndex(dates, tz='UTC'))
dates = ['2010-12-01 00:00', '2010-12-02 00:00', pd.NaT]
idx = DatetimeIndex(dates)
idx = idx.tz_localize('US/Pacific')
tm.assert_index_equal(idx, DatetimeIndex(dates, tz='US/Pacific'))
idx = idx.tz_convert('US/Eastern')
expected = ['2010-12-01 03:00', '2010-12-02 03:00', pd.NaT]
tm.assert_index_equal(idx, DatetimeIndex(expected, tz='US/Eastern'))
idx = idx + pd.offsets.Hour(5)
expected = ['2010-12-01 08:00', '2010-12-02 08:00', pd.NaT]
tm.assert_index_equal(idx, DatetimeIndex(expected, tz='US/Eastern'))
idx = idx.tz_convert('US/Pacific')
expected = ['2010-12-01 05:00', '2010-12-02 05:00', pd.NaT]
tm.assert_index_equal(idx, DatetimeIndex(expected, tz='US/Pacific'))
idx = idx + np.timedelta64(3, 'h')
expected = ['2010-12-01 08:00', '2010-12-02 08:00', pd.NaT]
tm.assert_index_equal(idx, DatetimeIndex(expected, tz='US/Pacific'))
idx = idx.tz_convert('US/Eastern')
expected = ['2010-12-01 11:00', '2010-12-02 11:00', pd.NaT]
tm.assert_index_equal(idx, DatetimeIndex(expected, tz='US/Eastern'))
@pytest.mark.parametrize('prefix', ['', 'dateutil/'])
def test_dti_tz_convert_compat_timestamp(self, prefix):
strdates = ['1/1/2012', '3/1/2012', '4/1/2012']
idx = DatetimeIndex(strdates, tz=prefix + 'US/Eastern')
conv = idx[0].tz_convert(prefix + 'US/Pacific')
expected = idx.tz_convert(prefix + 'US/Pacific')[0]
assert conv == expected
def test_dti_tz_convert_hour_overflow_dst(self):
# Regression test for:
# https://github.com/pandas-dev/pandas/issues/13306
# sorted case US/Eastern -> UTC
ts = ['2008-05-12 09:50:00',
'2008-12-12 09:50:35',
'2009-05-12 09:50:32']
tt = DatetimeIndex(ts).tz_localize('US/Eastern')
ut = tt.tz_convert('UTC')
expected = Index([13, 14, 13])
tm.assert_index_equal(ut.hour, expected)
# sorted case UTC -> US/Eastern
ts = ['2008-05-12 13:50:00',
'2008-12-12 14:50:35',
'2009-05-12 13:50:32']
tt = DatetimeIndex(ts).tz_localize('UTC')
ut = tt.tz_convert('US/Eastern')
expected = Index([9, 9, 9])
tm.assert_index_equal(ut.hour, expected)
# unsorted case US/Eastern -> UTC
ts = ['2008-05-12 09:50:00',
'2008-12-12 09:50:35',
'2008-05-12 09:50:32']
tt = DatetimeIndex(ts).tz_localize('US/Eastern')
ut = tt.tz_convert('UTC')
expected = Index([13, 14, 13])
tm.assert_index_equal(ut.hour, expected)
# unsorted case UTC -> US/Eastern
ts = ['2008-05-12 13:50:00',
'2008-12-12 14:50:35',
'2008-05-12 13:50:32']
tt = DatetimeIndex(ts).tz_localize('UTC')
ut = tt.tz_convert('US/Eastern')
expected = Index([9, 9, 9])
tm.assert_index_equal(ut.hour, expected)
@pytest.mark.parametrize('tz', ['US/Eastern', 'dateutil/US/Eastern'])
def test_dti_tz_convert_hour_overflow_dst_timestamps(self, tz):
# Regression test for GH#13306
# sorted case US/Eastern -> UTC
ts = [Timestamp('2008-05-12 09:50:00', tz=tz),
Timestamp('2008-12-12 09:50:35', tz=tz),
Timestamp('2009-05-12 09:50:32', tz=tz)]
tt = DatetimeIndex(ts)
ut = tt.tz_convert('UTC')
expected = Index([13, 14, 13])
tm.assert_index_equal(ut.hour, expected)
# sorted case UTC -> US/Eastern
ts = [Timestamp('2008-05-12 13:50:00', tz='UTC'),
Timestamp('2008-12-12 14:50:35', tz='UTC'),
Timestamp('2009-05-12 13:50:32', tz='UTC')]
tt = DatetimeIndex(ts)
ut = tt.tz_convert('US/Eastern')
expected = Index([9, 9, 9])
tm.assert_index_equal(ut.hour, expected)
# unsorted case US/Eastern -> UTC
ts = [Timestamp('2008-05-12 09:50:00', tz=tz),
Timestamp('2008-12-12 09:50:35', tz=tz),
Timestamp('2008-05-12 09:50:32', tz=tz)]
tt = DatetimeIndex(ts)
ut = tt.tz_convert('UTC')
expected = Index([13, 14, 13])
tm.assert_index_equal(ut.hour, expected)
# unsorted case UTC -> US/Eastern
ts = [Timestamp('2008-05-12 13:50:00', tz='UTC'),
Timestamp('2008-12-12 14:50:35', tz='UTC'),
Timestamp('2008-05-12 13:50:32', tz='UTC')]
tt = DatetimeIndex(ts)
ut = tt.tz_convert('US/Eastern')
expected = Index([9, 9, 9])
tm.assert_index_equal(ut.hour, expected)
@pytest.mark.parametrize('freq, n', [('H', 1), ('T', 60), ('S', 3600)])
def test_dti_tz_convert_trans_pos_plus_1__bug(self, freq, n):
# Regression test for tslib.tz_convert(vals, tz1, tz2).
# See https://github.com/pandas-dev/pandas/issues/4496 for details.
idx = date_range(datetime(2011, 3, 26, 23),
datetime(2011, 3, 27, 1), freq=freq)
idx = idx.tz_localize('UTC')
idx = idx.tz_convert('Europe/Moscow')
expected = np.repeat(np.array([3, 4, 5]), np.array([n, n, 1]))
tm.assert_index_equal(idx.hour, Index(expected))
def test_dti_tz_convert_dst(self):
for freq, n in [('H', 1), ('T', 60), ('S', 3600)]:
# Start DST
idx = date_range('2014-03-08 23:00', '2014-03-09 09:00', freq=freq,
tz='UTC')
idx = idx.tz_convert('US/Eastern')
expected = np.repeat(np.array([18, 19, 20, 21, 22, 23,
0, 1, 3, 4, 5]),
np.array([n, n, n, n, n, n, n, n, n, n, 1]))
tm.assert_index_equal(idx.hour, Index(expected))
idx = date_range('2014-03-08 18:00', '2014-03-09 05:00', freq=freq,
tz='US/Eastern')
idx = idx.tz_convert('UTC')
expected = np.repeat(np.array([23, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
np.array([n, n, n, n, n, n, n, n, n, n, 1]))
tm.assert_index_equal(idx.hour, Index(expected))
# End DST
idx = date_range('2014-11-01 23:00', '2014-11-02 09:00', freq=freq,
tz='UTC')
idx = idx.tz_convert('US/Eastern')
expected = np.repeat(np.array([19, 20, 21, 22, 23,
0, 1, 1, 2, 3, 4]),
np.array([n, n, n, n, n, n, n, n, n, n, 1]))
tm.assert_index_equal(idx.hour, Index(expected))
idx = date_range('2014-11-01 18:00', '2014-11-02 05:00', freq=freq,
tz='US/Eastern')
idx = idx.tz_convert('UTC')
expected = np.repeat(np.array([22, 23, 0, 1, 2, 3, 4, 5, 6,
7, 8, 9, 10]),
np.array([n, n, n, n, n, n, n, n, n,
n, n, n, 1]))
tm.assert_index_equal(idx.hour, Index(expected))
# daily
# Start DST
idx = date_range('2014-03-08 00:00', '2014-03-09 00:00', freq='D',
tz='UTC')
idx = idx.tz_convert('US/Eastern')
tm.assert_index_equal(idx.hour, Index([19, 19]))
idx = date_range('2014-03-08 00:00', '2014-03-09 00:00', freq='D',
tz='US/Eastern')
idx = idx.tz_convert('UTC')
tm.assert_index_equal(idx.hour, Index([5, 5]))
# End DST
idx = date_range('2014-11-01 00:00', '2014-11-02 00:00', freq='D',
tz='UTC')
idx = idx.tz_convert('US/Eastern')
tm.assert_index_equal(idx.hour, Index([20, 20]))
idx = date_range('2014-11-01 00:00', '2014-11-02 000:00', freq='D',
tz='US/Eastern')
idx = idx.tz_convert('UTC')
tm.assert_index_equal(idx.hour, Index([4, 4]))
def test_tz_convert_roundtrip(self, tz_aware_fixture):
tz = tz_aware_fixture
idx1 = date_range(start='2014-01-01', end='2014-12-31', freq='M',
tz='UTC')
exp1 = date_range(start='2014-01-01', end='2014-12-31', freq='M')
idx2 = date_range(start='2014-01-01', end='2014-12-31', freq='D',
tz='UTC')
exp2 = date_range(start='2014-01-01', end='2014-12-31', freq='D')
idx3 = date_range(start='2014-01-01', end='2014-03-01', freq='H',
tz='UTC')
exp3 = date_range(start='2014-01-01', end='2014-03-01', freq='H')
idx4 = date_range(start='2014-08-01', end='2014-10-31', freq='T',
tz='UTC')
exp4 = date_range(start='2014-08-01', end='2014-10-31', freq='T')
for idx, expected in [(idx1, exp1), (idx2, exp2), (idx3, exp3),
(idx4, exp4)]:
converted = idx.tz_convert(tz)
reset = converted.tz_convert(None)
tm.assert_index_equal(reset, expected)
assert reset.tzinfo is None
expected = converted.tz_convert('UTC').tz_localize(None)
tm.assert_index_equal(reset, expected)
def test_dti_tz_convert_tzlocal(self):
# GH#13583
# tz_convert doesn't affect to internal
dti = date_range(start='2001-01-01', end='2001-03-01', tz='UTC')
dti2 = dti.tz_convert(dateutil.tz.tzlocal())
tm.assert_numpy_array_equal(dti2.asi8, dti.asi8)
dti = date_range(start='2001-01-01', end='2001-03-01',
tz=dateutil.tz.tzlocal())
dti2 = dti.tz_convert(None)
tm.assert_numpy_array_equal(dti2.asi8, dti.asi8)
@pytest.mark.parametrize('tz', ['US/Eastern', 'dateutil/US/Eastern',
pytz.timezone('US/Eastern'),
gettz('US/Eastern')])
def test_dti_tz_convert_utc_to_local_no_modify(self, tz):
rng = date_range('3/11/2012', '3/12/2012', freq='H', tz='utc')
rng_eastern = rng.tz_convert(tz)
# Values are unmodified
tm.assert_numpy_array_equal(rng.asi8, rng_eastern.asi8)
assert timezones.tz_compare(rng_eastern.tz, timezones.maybe_get_tz(tz))
@pytest.mark.parametrize('tzstr', ['US/Eastern', 'dateutil/US/Eastern'])
def test_tz_convert_unsorted(self, tzstr):
dr = date_range('2012-03-09', freq='H', periods=100, tz='utc')
dr = dr.tz_convert(tzstr)
result = dr[::-1].hour
exp = dr.hour[::-1]
tm.assert_almost_equal(result, exp)
# -------------------------------------------------------------
# DatetimeIndex.tz_localize
def test_dti_tz_localize_nonexistent_raise_coerce(self):
# GH#13057
times = ['2015-03-08 01:00', '2015-03-08 02:00', '2015-03-08 03:00']
index = DatetimeIndex(times)
tz = 'US/Eastern'
with pytest.raises(pytz.NonExistentTimeError):
index.tz_localize(tz=tz)
with pytest.raises(pytz.NonExistentTimeError):
with tm.assert_produces_warning(FutureWarning):
index.tz_localize(tz=tz, errors='raise')
with tm.assert_produces_warning(FutureWarning,
clear=FutureWarning,
check_stacklevel=False):
result = index.tz_localize(tz=tz, errors='coerce')
test_times = ['2015-03-08 01:00-05:00', 'NaT',
'2015-03-08 03:00-04:00']
dti = to_datetime(test_times, utc=True)
expected = dti.tz_convert('US/Eastern')
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'),
gettz('US/Eastern')])
def test_dti_tz_localize_ambiguous_infer(self, tz):
# November 6, 2011, fall back, repeat 2 AM hour
# With no repeated hours, we cannot infer the transition
dr = date_range(datetime(2011, 11, 6, 0), periods=5,
freq=pd.offsets.Hour())
with pytest.raises(pytz.AmbiguousTimeError):
dr.tz_localize(tz)
# With repeated hours, we can infer the transition
dr = date_range(datetime(2011, 11, 6, 0), periods=5,
freq=pd.offsets.Hour(), tz=tz)
times = ['11/06/2011 00:00', '11/06/2011 01:00', '11/06/2011 01:00',
'11/06/2011 02:00', '11/06/2011 03:00']
di = DatetimeIndex(times)
localized = di.tz_localize(tz, ambiguous='infer')
tm.assert_index_equal(dr, localized)
tm.assert_index_equal(dr, DatetimeIndex(times, tz=tz,
ambiguous='infer'))
# When there is no dst transition, nothing special happens
dr = date_range(datetime(2011, 6, 1, 0), periods=10,
freq=pd.offsets.Hour())
localized = dr.tz_localize(tz)
localized_infer = dr.tz_localize(tz, ambiguous='infer')
tm.assert_index_equal(localized, localized_infer)
@pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'),
gettz('US/Eastern')])
def test_dti_tz_localize_ambiguous_times(self, tz):
# March 13, 2011, spring forward, skip from 2 AM to 3 AM
dr = date_range(datetime(2011, 3, 13, 1, 30), periods=3,
freq=pd.offsets.Hour())
with pytest.raises(pytz.NonExistentTimeError):
dr.tz_localize(tz)
# after dst transition, it works
dr = date_range(datetime(2011, 3, 13, 3, 30), periods=3,
freq=pd.offsets.Hour(), tz=tz)
# November 6, 2011, fall back, repeat 2 AM hour
dr = date_range(datetime(2011, 11, 6, 1, 30), periods=3,
freq=pd.offsets.Hour())
with pytest.raises(pytz.AmbiguousTimeError):
dr.tz_localize(tz)
# UTC is OK
dr = date_range(datetime(2011, 3, 13), periods=48,
freq=pd.offsets.Minute(30), tz=pytz.utc)
@pytest.mark.parametrize('tzstr', ['US/Eastern', 'dateutil/US/Eastern'])
def test_dti_tz_localize_pass_dates_to_utc(self, tzstr):
strdates = ['1/1/2012', '3/1/2012', '4/1/2012']
idx = DatetimeIndex(strdates)
conv = idx.tz_localize(tzstr)
fromdates = DatetimeIndex(strdates, tz=tzstr)
assert conv.tz == fromdates.tz
tm.assert_numpy_array_equal(conv.values, fromdates.values)
@pytest.mark.parametrize('prefix', ['', 'dateutil/'])
def test_dti_tz_localize(self, prefix):
tzstr = prefix + 'US/Eastern'
dti = pd.date_range(start='1/1/2005', end='1/1/2005 0:00:30.256',
freq='L')
dti2 = dti.tz_localize(tzstr)
dti_utc = pd.date_range(start='1/1/2005 05:00',
end='1/1/2005 5:00:30.256', freq='L', tz='utc')
tm.assert_numpy_array_equal(dti2.values, dti_utc.values)
dti3 = dti2.tz_convert(prefix + 'US/Pacific')
tm.assert_numpy_array_equal(dti3.values, dti_utc.values)
dti = pd.date_range(start='11/6/2011 1:59', end='11/6/2011 2:00',
freq='L')
with pytest.raises(pytz.AmbiguousTimeError):
dti.tz_localize(tzstr)
dti = pd.date_range(start='3/13/2011 1:59', end='3/13/2011 2:00',
freq='L')
with pytest.raises(pytz.NonExistentTimeError):
dti.tz_localize(tzstr)
@pytest.mark.parametrize('tz', ['US/Eastern', 'dateutil/US/Eastern',
pytz.timezone('US/Eastern'),
gettz('US/Eastern')])
def test_dti_tz_localize_utc_conversion(self, tz):
# Localizing to time zone should:
# 1) check for DST ambiguities
# 2) convert to UTC
rng = date_range('3/10/2012', '3/11/2012', freq='30T')
converted = rng.tz_localize(tz)
expected_naive = rng + pd.offsets.Hour(5)
tm.assert_numpy_array_equal(converted.asi8, expected_naive.asi8)
# DST ambiguity, this should fail
rng = date_range('3/11/2012', '3/12/2012', freq='30T')
# Is this really how it should fail??
with pytest.raises(pytz.NonExistentTimeError):
rng.tz_localize(tz)
def test_dti_tz_localize_roundtrip(self, tz_aware_fixture):
# note: this tz tests that a tz-naive index can be localized
# and de-localized successfully, when there are no DST transitions
# in the range.
idx = date_range(start='2014-06-01', end='2014-08-30', freq='15T')
tz = tz_aware_fixture
localized = idx.tz_localize(tz)
# cant localize a tz-aware object
with pytest.raises(TypeError):
localized.tz_localize(tz)
reset = localized.tz_localize(None)
assert reset.tzinfo is None
tm.assert_index_equal(reset, idx)
def test_dti_tz_localize_naive(self):
rng = date_range('1/1/2011', periods=100, freq='H')
conv = rng.tz_localize('US/Pacific')
exp = date_range('1/1/2011', periods=100, freq='H', tz='US/Pacific')
tm.assert_index_equal(conv, exp)
def test_dti_tz_localize_tzlocal(self):
# GH#13583
offset = dateutil.tz.tzlocal().utcoffset(datetime(2011, 1, 1))
offset = int(offset.total_seconds() * 1000000000)
dti = date_range(start='2001-01-01', end='2001-03-01')
dti2 = dti.tz_localize(dateutil.tz.tzlocal())
tm.assert_numpy_array_equal(dti2.asi8 + offset, dti.asi8)
dti = date_range(start='2001-01-01', end='2001-03-01',
tz=dateutil.tz.tzlocal())
dti2 = dti.tz_localize(None)
tm.assert_numpy_array_equal(dti2.asi8 - offset, dti.asi8)
@pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'),
gettz('US/Eastern')])
def test_dti_tz_localize_ambiguous_nat(self, tz):
times = ['11/06/2011 00:00', '11/06/2011 01:00', '11/06/2011 01:00',
'11/06/2011 02:00', '11/06/2011 03:00']
di = DatetimeIndex(times)
localized = di.tz_localize(tz, ambiguous='NaT')
times = ['11/06/2011 00:00', np.NaN, np.NaN, '11/06/2011 02:00',
'11/06/2011 03:00']
di_test = DatetimeIndex(times, tz='US/Eastern')
# left dtype is datetime64[ns, US/Eastern]
# right is datetime64[ns, tzfile('/usr/share/zoneinfo/US/Eastern')]
tm.assert_numpy_array_equal(di_test.values, localized.values)
@pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'),
gettz('US/Eastern')])
def test_dti_tz_localize_ambiguous_flags(self, tz):
# November 6, 2011, fall back, repeat 2 AM hour
# Pass in flags to determine right dst transition
dr = date_range(datetime(2011, 11, 6, 0), periods=5,
freq=pd.offsets.Hour(), tz=tz)
times = ['11/06/2011 00:00', '11/06/2011 01:00', '11/06/2011 01:00',
'11/06/2011 02:00', '11/06/2011 03:00']
# Test tz_localize
di = DatetimeIndex(times)
is_dst = [1, 1, 0, 0, 0]
localized = di.tz_localize(tz, ambiguous=is_dst)
tm.assert_index_equal(dr, localized)
tm.assert_index_equal(dr, DatetimeIndex(times, tz=tz,
ambiguous=is_dst))
localized = di.tz_localize(tz, ambiguous=np.array(is_dst))
tm.assert_index_equal(dr, localized)
localized = di.tz_localize(tz,
ambiguous=np.array(is_dst).astype('bool'))
tm.assert_index_equal(dr, localized)
# Test constructor
localized = DatetimeIndex(times, tz=tz, ambiguous=is_dst)
tm.assert_index_equal(dr, localized)
# Test duplicate times where inferring the dst fails
times += times
di = DatetimeIndex(times)
# When the sizes are incompatible, make sure error is raised
with pytest.raises(Exception):
di.tz_localize(tz, ambiguous=is_dst)
# When sizes are compatible and there are repeats ('infer' won't work)
is_dst = np.hstack((is_dst, is_dst))
localized = di.tz_localize(tz, ambiguous=is_dst)
dr = dr.append(dr)
tm.assert_index_equal(dr, localized)
# When there is no dst transition, nothing special happens
dr = date_range(datetime(2011, 6, 1, 0), periods=10,
freq=pd.offsets.Hour())
is_dst = np.array([1] * 10)
localized = dr.tz_localize(tz)
localized_is_dst = dr.tz_localize(tz, ambiguous=is_dst)
tm.assert_index_equal(localized, localized_is_dst)
# TODO: belongs outside tz_localize tests?
@pytest.mark.parametrize('tz', ['Europe/London', 'dateutil/Europe/London'])
def test_dti_construction_ambiguous_endpoint(self, tz):
# construction with an ambiguous end-point
# GH#11626
# FIXME: This next block fails to raise; it was taken from an older
# version of this test that had an indention mistake that caused it
# to not get executed.
# with pytest.raises(pytz.AmbiguousTimeError):
# date_range("2013-10-26 23:00", "2013-10-27 01:00",
# tz="Europe/London", freq="H")
times = date_range("2013-10-26 23:00", "2013-10-27 01:00", freq="H",
tz=tz, ambiguous='infer')
assert times[0] == Timestamp('2013-10-26 23:00', tz=tz, freq="H")
if str(tz).startswith('dateutil'):
if LooseVersion(dateutil.__version__) < LooseVersion('2.6.0'):
# see GH#14621
assert times[-1] == Timestamp('2013-10-27 01:00:00+0000',
tz=tz, freq="H")
elif LooseVersion(dateutil.__version__) > LooseVersion('2.6.0'):
# fixed ambiguous behavior
assert times[-1] == Timestamp('2013-10-27 01:00:00+0100',
tz=tz, freq="H")
else:
assert times[-1] == Timestamp('2013-10-27 01:00:00+0000',
tz=tz, freq="H")
def test_dti_tz_localize_bdate_range(self):
dr = pd.bdate_range('1/1/2009', '1/1/2010')
dr_utc = pd.bdate_range('1/1/2009', '1/1/2010', tz=pytz.utc)
localized = dr.tz_localize(pytz.utc)
tm.assert_index_equal(dr_utc, localized)
@pytest.mark.parametrize('tz', ['Europe/Warsaw', 'dateutil/Europe/Warsaw'])
@pytest.mark.parametrize('method, exp', [
['NaT', pd.NaT],
['raise', None],
['foo', 'invalid']
])
def test_dti_tz_localize_nonexistent(self, tz, method, exp):
# GH 8917
n = 60
dti = date_range(start='2015-03-29 02:00:00', periods=n, freq='min')
if method == 'raise':
with pytest.raises(pytz.NonExistentTimeError):
dti.tz_localize(tz, nonexistent=method)
elif exp == 'invalid':
with pytest.raises(ValueError):
dti.tz_localize(tz, nonexistent=method)
else:
result = dti.tz_localize(tz, nonexistent=method)
expected = DatetimeIndex([exp] * n, tz=tz)
tm.assert_index_equal(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_dti_tz_localize_nonexistent_shift(self, start_ts, tz,
end_ts, shift,
tz_type):
# GH 8917
tz = tz_type + tz
if isinstance(shift, str):
shift = 'shift_' + shift
dti = DatetimeIndex([Timestamp(start_ts)])
result = dti.tz_localize(tz, nonexistent=shift)
expected = DatetimeIndex([Timestamp(end_ts)]).tz_localize(tz)
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize('offset', [-1, 1])
@pytest.mark.parametrize('tz_type', ['', 'dateutil/'])
def test_dti_tz_localize_nonexistent_shift_invalid(self, offset, tz_type):
# GH 8917
tz = tz_type + 'Europe/Warsaw'
dti = DatetimeIndex([Timestamp('2015-03-29 02:20:00')])
msg = "The provided timedelta will relocalize on a nonexistent time"
with pytest.raises(ValueError, match=msg):
dti.tz_localize(tz, nonexistent=timedelta(seconds=offset))
@pytest.mark.filterwarnings('ignore::FutureWarning')
def test_dti_tz_localize_errors_deprecation(self):
# GH 22644
tz = 'Europe/Warsaw'
n = 60
dti = date_range(start='2015-03-29 02:00:00', periods=n, freq='min')
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
with pytest.raises(ValueError):
dti.tz_localize(tz, errors='foo')
# make sure errors='coerce' gets mapped correctly to nonexistent
result = dti.tz_localize(tz, errors='coerce')
expected = dti.tz_localize(tz, nonexistent='NaT')
tm.assert_index_equal(result, expected)
# -------------------------------------------------------------
# DatetimeIndex.normalize
def test_normalize_tz(self):
rng = date_range('1/1/2000 9:30', periods=10, freq='D',
tz='US/Eastern')
result = rng.normalize()
expected = date_range('1/1/2000', periods=10, freq='D',
tz='US/Eastern')
tm.assert_index_equal(result, expected)
assert result.is_normalized
assert not rng.is_normalized
rng = date_range('1/1/2000 9:30', periods=10, freq='D', tz='UTC')
result = rng.normalize()
expected = date_range('1/1/2000', periods=10, freq='D', tz='UTC')
tm.assert_index_equal(result, expected)
assert result.is_normalized
assert not rng.is_normalized
rng = date_range('1/1/2000 9:30', periods=10, freq='D', tz=tzlocal())
result = rng.normalize()
expected = date_range('1/1/2000', periods=10, freq='D', tz=tzlocal())
tm.assert_index_equal(result, expected)
assert result.is_normalized
assert not rng.is_normalized
@td.skip_if_windows
@pytest.mark.parametrize('timezone', ['US/Pacific', 'US/Eastern', 'UTC',
'Asia/Kolkata', 'Asia/Shanghai',
'Australia/Canberra'])
def test_normalize_tz_local(self, timezone):
# GH#13459
with tm.set_timezone(timezone):
rng = date_range('1/1/2000 9:30', periods=10, freq='D',
tz=tzlocal())
result = rng.normalize()
expected = date_range('1/1/2000', periods=10, freq='D',
tz=tzlocal())
tm.assert_index_equal(result, expected)
assert result.is_normalized
assert not rng.is_normalized
# ------------------------------------------------------------
# DatetimeIndex.__new__
@pytest.mark.parametrize('prefix', ['', 'dateutil/'])
def test_dti_constructor_static_tzinfo(self, prefix):
# it works!
index = DatetimeIndex([datetime(2012, 1, 1)], tz=prefix + 'EST')
index.hour
index[0]
def test_dti_constructor_with_fixed_tz(self):
off = FixedOffset(420, '+07:00')
start = datetime(2012, 3, 11, 5, 0, 0, tzinfo=off)
end = datetime(2012, 6, 11, 5, 0, 0, tzinfo=off)
rng = date_range(start=start, end=end)
assert off == rng.tz
rng2 = date_range(start, periods=len(rng), tz=off)
tm.assert_index_equal(rng, rng2)
rng3 = date_range('3/11/2012 05:00:00+07:00',
'6/11/2012 05:00:00+07:00')
assert (rng.values == rng3.values).all()
@pytest.mark.parametrize('tzstr', ['US/Eastern', 'dateutil/US/Eastern'])
def test_dti_convert_datetime_list(self, tzstr):
dr = date_range('2012-06-02', periods=10,
tz=tzstr, name='foo')
dr2 = DatetimeIndex(list(dr), name='foo')
tm.assert_index_equal(dr, dr2)
assert dr.tz == dr2.tz
assert dr2.name == 'foo'
def test_dti_construction_univalent(self):
rng = date_range('03/12/2012 00:00', periods=10, freq='W-FRI',
tz='US/Eastern')
rng2 = DatetimeIndex(data=rng, tz='US/Eastern')
tm.assert_index_equal(rng, rng2)
@pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'),
gettz('US/Eastern')])
def test_dti_from_tzaware_datetime(self, tz):
d = [datetime(2012, 8, 19, tzinfo=tz)]
index = DatetimeIndex(d)
assert timezones.tz_compare(index.tz, tz)
@pytest.mark.parametrize('tzstr', ['US/Eastern', 'dateutil/US/Eastern'])
def test_dti_tz_constructors(self, tzstr):
""" Test different DatetimeIndex constructions with timezone
Follow-up of GH#4229
"""
arr = ['11/10/2005 08:00:00', '11/10/2005 09:00:00']
idx1 = to_datetime(arr).tz_localize(tzstr)
idx2 = pd.date_range(start="2005-11-10 08:00:00", freq='H', periods=2,
tz=tzstr)
idx3 = DatetimeIndex(arr, tz=tzstr)
idx4 = DatetimeIndex(np.array(arr), tz=tzstr)
for other in [idx2, idx3, idx4]:
tm.assert_index_equal(idx1, other)
# -------------------------------------------------------------
# Unsorted
def test_join_utc_convert(self, join_type):
rng = date_range('1/1/2011', periods=100, freq='H', tz='utc')
left = rng.tz_convert('US/Eastern')
right = rng.tz_convert('Europe/Berlin')
result = left.join(left[:-5], how=join_type)
assert isinstance(result, DatetimeIndex)
assert result.tz == left.tz
result = left.join(right[:-5], how=join_type)
assert isinstance(result, DatetimeIndex)
assert result.tz.zone == 'UTC'
@pytest.mark.parametrize("dtype", [
None, 'datetime64[ns, CET]',
'datetime64[ns, EST]', 'datetime64[ns, UTC]'
])
def test_date_accessor(self, dtype):
# Regression test for GH#21230
expected = np.array([date(2018, 6, 4), pd.NaT])
index = DatetimeIndex(['2018-06-04 10:00:00', pd.NaT], dtype=dtype)
result = index.date
tm.assert_numpy_array_equal(result, expected)
@pytest.mark.parametrize("dtype", [
None, 'datetime64[ns, CET]',
'datetime64[ns, EST]', 'datetime64[ns, UTC]'
])
def test_time_accessor(self, dtype):
# Regression test for GH#21267
expected = np.array([time(10, 20, 30), pd.NaT])
index = DatetimeIndex(['2018-06-04 10:20:30', pd.NaT], dtype=dtype)
result = index.time
tm.assert_numpy_array_equal(result, expected)
def test_timetz_accessor(self, tz_naive_fixture):
# GH21358
tz = timezones.maybe_get_tz(tz_naive_fixture)
expected = np.array([time(10, 20, 30, tzinfo=tz), pd.NaT])
index = DatetimeIndex(['2018-06-04 10:20:30', pd.NaT], tz=tz)
result = index.timetz
tm.assert_numpy_array_equal(result, expected)
def test_dti_drop_dont_lose_tz(self):
# GH#2621
ind = date_range("2012-12-01", periods=10, tz="utc")
ind = ind.drop(ind[-1])
assert ind.tz is not None
def test_dti_tz_conversion_freq(self, tz_naive_fixture):
# GH25241
t3 = DatetimeIndex(['2019-01-01 10:00'], freq='H')
assert t3.tz_localize(tz=tz_naive_fixture).freq == t3.freq
t4 = DatetimeIndex(['2019-01-02 12:00'], tz='UTC', freq='T')
assert t4.tz_convert(tz='UTC').freq == t4.freq
def test_drop_dst_boundary(self):
# see gh-18031
tz = "Europe/Brussels"
freq = "15min"
start = pd.Timestamp("201710290100", tz=tz)
end = pd.Timestamp("201710290300", tz=tz)
index = pd.date_range(start=start, end=end, freq=freq)
expected = DatetimeIndex(["201710290115", "201710290130",
"201710290145", "201710290200",
"201710290215", "201710290230",
"201710290245", "201710290200",
"201710290215", "201710290230",
"201710290245", "201710290300"],
tz=tz, freq=freq,
ambiguous=[True, True, True, True,
True, True, True, False,
False, False, False, False])
result = index.drop(index[0])
tm.assert_index_equal(result, expected)
def test_date_range_localize(self):
rng = date_range('3/11/2012 03:00', periods=15, freq='H',
tz='US/Eastern')
rng2 = DatetimeIndex(['3/11/2012 03:00', '3/11/2012 04:00'],
tz='US/Eastern')
rng3 = date_range('3/11/2012 03:00', periods=15, freq='H')
rng3 = rng3.tz_localize('US/Eastern')
tm.assert_index_equal(rng, rng3)
# DST transition time
val = rng[0]
exp = Timestamp('3/11/2012 03:00', tz='US/Eastern')
assert val.hour == 3
assert exp.hour == 3
assert val == exp # same UTC value
tm.assert_index_equal(rng[:2], rng2)
# Right before the DST transition
rng = date_range('3/11/2012 00:00', periods=2, freq='H',
tz='US/Eastern')
rng2 = DatetimeIndex(['3/11/2012 00:00', '3/11/2012 01:00'],
tz='US/Eastern')
tm.assert_index_equal(rng, rng2)
exp = Timestamp('3/11/2012 00:00', tz='US/Eastern')
assert exp.hour == 0
assert rng[0] == exp
exp = Timestamp('3/11/2012 01:00', tz='US/Eastern')
assert exp.hour == 1
assert rng[1] == exp
rng = date_range('3/11/2012 00:00', periods=10, freq='H',
tz='US/Eastern')
assert rng[2].hour == 3
def test_timestamp_equality_different_timezones(self):
utc_range = date_range('1/1/2000', periods=20, tz='UTC')
eastern_range = utc_range.tz_convert('US/Eastern')
berlin_range = utc_range.tz_convert('Europe/Berlin')
for a, b, c in zip(utc_range, eastern_range, berlin_range):
assert a == b
assert b == c
assert a == c
assert (utc_range == eastern_range).all()
assert (utc_range == berlin_range).all()
assert (berlin_range == eastern_range).all()
def test_dti_intersection(self):
rng = date_range('1/1/2011', periods=100, freq='H', tz='utc')
left = rng[10:90][::-1]
right = rng[20:80][::-1]
assert left.tz == rng.tz
result = left.intersection(right)
assert result.tz == left.tz
def test_dti_equals_with_tz(self):
left = date_range('1/1/2011', periods=100, freq='H', tz='utc')
right = date_range('1/1/2011', periods=100, freq='H', tz='US/Eastern')
assert not left.equals(right)
@pytest.mark.parametrize('tzstr', ['US/Eastern', 'dateutil/US/Eastern'])
def test_dti_tz_nat(self, tzstr):
idx = DatetimeIndex([Timestamp("2013-1-1", tz=tzstr), pd.NaT])
assert isna(idx[1])
assert idx[0].tzinfo is not None
@pytest.mark.parametrize('tzstr', ['US/Eastern', 'dateutil/US/Eastern'])
def test_dti_astype_asobject_tzinfos(self, tzstr):
# GH#1345
# dates around a dst transition
rng = date_range('2/13/2010', '5/6/2010', tz=tzstr)
objs = rng.astype(object)
for i, x in enumerate(objs):
exval = rng[i]
assert x == exval
assert x.tzinfo == exval.tzinfo
objs = rng.astype(object)
for i, x in enumerate(objs):
exval = rng[i]
assert x == exval
assert x.tzinfo == exval.tzinfo
@pytest.mark.parametrize('tzstr', ['US/Eastern', 'dateutil/US/Eastern'])
def test_dti_with_timezone_repr(self, tzstr):
rng = date_range('4/13/2010', '5/6/2010')
rng_eastern = rng.tz_localize(tzstr)
rng_repr = repr(rng_eastern)
assert '2010-04-13 00:00:00' in rng_repr
@pytest.mark.parametrize('tzstr', ['US/Eastern', 'dateutil/US/Eastern'])
def test_dti_take_dont_lose_meta(self, tzstr):
rng = date_range('1/1/2000', periods=20, tz=tzstr)
result = rng.take(lrange(5))
assert result.tz == rng.tz
assert result.freq == rng.freq
@pytest.mark.parametrize('tzstr', ['US/Eastern', 'dateutil/US/Eastern'])
def test_utc_box_timestamp_and_localize(self, tzstr):
tz = timezones.maybe_get_tz(tzstr)
rng = date_range('3/11/2012', '3/12/2012', freq='H', tz='utc')
rng_eastern = rng.tz_convert(tzstr)
expected = rng[-1].astimezone(tz)
stamp = rng_eastern[-1]
assert stamp == expected
assert stamp.tzinfo == expected.tzinfo
# right tzinfo
rng = date_range('3/13/2012', '3/14/2012', freq='H', tz='utc')
rng_eastern = rng.tz_convert(tzstr)
# test not valid for dateutil timezones.
# assert 'EDT' in repr(rng_eastern[0].tzinfo)
assert ('EDT' in repr(rng_eastern[0].tzinfo) or
'tzfile' in repr(rng_eastern[0].tzinfo))
def test_dti_to_pydatetime(self):
dt = dateutil.parser.parse('2012-06-13T01:39:00Z')
dt = dt.replace(tzinfo=tzlocal())
arr = np.array([dt], dtype=object)
result = to_datetime(arr, utc=True)
assert result.tz is pytz.utc
rng = date_range('2012-11-03 03:00', '2012-11-05 03:00', tz=tzlocal())
arr = rng.to_pydatetime()
result = to_datetime(arr, utc=True)
assert result.tz is pytz.utc