"""
|
Tests for DatetimeIndex timezone-related methods
|
"""
|
from datetime import (
|
date,
|
datetime,
|
time,
|
timedelta,
|
timezone,
|
tzinfo,
|
)
|
|
import dateutil
|
from dateutil.tz import (
|
gettz,
|
tzlocal,
|
)
|
import numpy as np
|
import pytest
|
import pytz
|
|
try:
|
from zoneinfo import ZoneInfo
|
except ImportError:
|
ZoneInfo = None
|
|
from pandas._libs.tslibs import (
|
conversion,
|
timezones,
|
)
|
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._testing as tm
|
|
|
class FixedOffset(tzinfo):
|
"""Fixed offset in minutes east from UTC."""
|
|
def __init__(self, offset, name) -> None:
|
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:
|
# -------------------------------------------------------------
|
# 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], dtype=np.int32)
|
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], dtype=np.int32)
|
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], dtype=np.int32)
|
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], dtype=np.int32)
|
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], dtype=np.int32)
|
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], dtype=np.int32)
|
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], dtype=np.int32)
|
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], dtype=np.int32)
|
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, dtype=np.int32))
|
|
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, dtype=np.int32))
|
|
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, dtype=np.int32))
|
|
# 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, dtype=np.int32))
|
|
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, dtype=np.int32))
|
|
# 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], dtype=np.int32))
|
|
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], dtype=np.int32))
|
|
# 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], dtype=np.int32))
|
|
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], dtype=np.int32))
|
|
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)
|
expected = expected._with_freq("infer")
|
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_tz_localize_utc_copies(self, utc_fixture):
|
# GH#46460
|
times = ["2015-03-08 01:00", "2015-03-08 02:00", "2015-03-08 03:00"]
|
index = DatetimeIndex(times)
|
|
res = index.tz_localize(utc_fixture)
|
assert not tm.shares_memory(res, index)
|
|
res2 = index._data.tz_localize(utc_fixture)
|
assert not tm.shares_memory(index._data, res2)
|
|
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, match="|".join(times)):
|
index.tz_localize(tz=tz)
|
|
with pytest.raises(pytz.NonExistentTimeError, match="|".join(times)):
|
index.tz_localize(tz=tz, nonexistent="raise")
|
|
result = index.tz_localize(tz=tz, nonexistent="NaT")
|
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)
|
|
easts = [pytz.timezone("US/Eastern"), gettz("US/Eastern")]
|
if ZoneInfo is not None:
|
try:
|
tz = ZoneInfo("US/Eastern")
|
except KeyError:
|
# no tzdata
|
pass
|
else:
|
easts.append(tz)
|
|
@pytest.mark.parametrize("tz", easts)
|
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, match="Cannot infer dst time"):
|
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")
|
expected = dr._with_freq(None)
|
tm.assert_index_equal(expected, localized)
|
tm.assert_index_equal(expected, 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, match="2011-03-13 02:30:00"):
|
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, match="Cannot infer dst time"):
|
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 = date_range(start="1/1/2005", end="1/1/2005 0:00:30.256", freq="L")
|
dti2 = dti.tz_localize(tzstr)
|
|
dti_utc = 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 = date_range(start="11/6/2011 1:59", end="11/6/2011 2:00", freq="L")
|
with pytest.raises(pytz.AmbiguousTimeError, match="Cannot infer dst time"):
|
dti.tz_localize(tzstr)
|
|
dti = date_range(start="3/13/2011 1:59", end="3/13/2011 2:00", freq="L")
|
with pytest.raises(pytz.NonExistentTimeError, match="2011-03-13 02:00:00"):
|
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, match="2012-03-11 02:00:00"):
|
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)
|
# can't localize a tz-aware object
|
with pytest.raises(
|
TypeError, match="Already tz-aware, use tz_convert to convert"
|
):
|
localized.tz_localize(tz)
|
reset = localized.tz_localize(None)
|
assert reset.tzinfo is None
|
expected = idx._with_freq(None)
|
tm.assert_index_equal(reset, expected)
|
|
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._with_freq(None))
|
|
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)
|
expected = dr._with_freq(None)
|
tm.assert_index_equal(expected, localized)
|
tm.assert_index_equal(expected, 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
|
msg = "Length of ambiguous bool-array must be the same size as vals"
|
with pytest.raises(Exception, match=msg):
|
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
|
|
with pytest.raises(pytz.AmbiguousTimeError, match="Cannot infer dst time"):
|
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)
|
assert times[-1] == Timestamp("2013-10-27 01:00:00+0000", tz=tz)
|
|
@pytest.mark.parametrize(
|
"tz, option, expected",
|
[
|
["US/Pacific", "shift_forward", "2019-03-10 03:00"],
|
["dateutil/US/Pacific", "shift_forward", "2019-03-10 03:00"],
|
["US/Pacific", "shift_backward", "2019-03-10 01:00"],
|
["dateutil/US/Pacific", "shift_backward", "2019-03-10 01:00"],
|
["US/Pacific", timedelta(hours=1), "2019-03-10 03:00"],
|
],
|
)
|
def test_dti_construction_nonexistent_endpoint(self, tz, option, expected):
|
# construction with an nonexistent end-point
|
|
with pytest.raises(pytz.NonExistentTimeError, match="2019-03-10 02:00:00"):
|
date_range(
|
"2019-03-10 00:00", "2019-03-10 02:00", tz="US/Pacific", freq="H"
|
)
|
|
times = date_range(
|
"2019-03-10 00:00", "2019-03-10 02:00", freq="H", tz=tz, nonexistent=option
|
)
|
assert times[-1] == Timestamp(expected, tz=tz)
|
|
def test_dti_tz_localize_bdate_range(self):
|
dr = bdate_range("1/1/2009", "1/1/2010")
|
dr_utc = 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(
|
"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])
|
def test_dti_tz_localize_nonexistent_shift_invalid(self, offset, warsaw):
|
# GH 8917
|
tz = 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))
|
|
# -------------------------------------------------------------
|
# 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() # does not preserve freq
|
expected = date_range("1/1/2000", periods=10, freq="D", tz="US/Eastern")
|
tm.assert_index_equal(result, expected._with_freq(None))
|
|
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() # does not preserve freq
|
expected = date_range("1/1/2000", periods=10, freq="D", tz=tzlocal())
|
tm.assert_index_equal(result, expected._with_freq(None))
|
|
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())
|
expected = expected._with_freq(None)
|
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", freq="D")
|
tm.assert_index_equal(dr, dr2)
|
|
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 = date_range(start="2005-11-10 08:00:00", freq="H", periods=2, tz=tzstr)
|
idx2 = idx2._with_freq(None) # the others all have freq=None
|
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
|
|
@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 = Timestamp("201710290100", tz=tz)
|
end = Timestamp("201710290300", tz=tz)
|
index = 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._with_freq(None), 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", freq="H"
|
)
|
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(range(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 timezone.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 timezone.utc
|
|
def test_dti_to_pydatetime_fizedtz(self):
|
dates = np.array(
|
[
|
datetime(2000, 1, 1, tzinfo=fixed_off),
|
datetime(2000, 1, 2, tzinfo=fixed_off),
|
datetime(2000, 1, 3, tzinfo=fixed_off),
|
]
|
)
|
dti = DatetimeIndex(dates)
|
|
result = dti.to_pydatetime()
|
tm.assert_numpy_array_equal(dates, result)
|
|
result = dti._mpl_repr()
|
tm.assert_numpy_array_equal(dates, result)
|
|
@pytest.mark.parametrize("tz", [pytz.timezone("US/Central"), gettz("US/Central")])
|
def test_with_tz(self, tz):
|
# just want it to work
|
start = datetime(2011, 3, 12, tzinfo=pytz.utc)
|
dr = bdate_range(start, periods=50, freq=pd.offsets.Hour())
|
assert dr.tz is pytz.utc
|
|
# DateRange with naive datetimes
|
dr = bdate_range("1/1/2005", "1/1/2009", tz=pytz.utc)
|
dr = bdate_range("1/1/2005", "1/1/2009", tz=tz)
|
|
# normalized
|
central = dr.tz_convert(tz)
|
assert central.tz is tz
|
naive = central[0].to_pydatetime().replace(tzinfo=None)
|
comp = conversion.localize_pydatetime(naive, tz).tzinfo
|
assert central[0].tz is comp
|
|
# compare vs a localized tz
|
naive = dr[0].to_pydatetime().replace(tzinfo=None)
|
comp = conversion.localize_pydatetime(naive, tz).tzinfo
|
assert central[0].tz is comp
|
|
# datetimes with tzinfo set
|
dr = bdate_range(
|
datetime(2005, 1, 1, tzinfo=pytz.utc), datetime(2009, 1, 1, tzinfo=pytz.utc)
|
)
|
msg = "Start and end cannot both be tz-aware with different timezones"
|
with pytest.raises(Exception, match=msg):
|
bdate_range(datetime(2005, 1, 1, tzinfo=pytz.utc), "1/1/2009", tz=tz)
|
|
@pytest.mark.parametrize("prefix", ["", "dateutil/"])
|
def test_field_access_localize(self, prefix):
|
strdates = ["1/1/2012", "3/1/2012", "4/1/2012"]
|
rng = DatetimeIndex(strdates, tz=prefix + "US/Eastern")
|
assert (rng.hour == 0).all()
|
|
# a more unusual time zone, #1946
|
dr = date_range(
|
"2011-10-02 00:00", freq="h", periods=10, tz=prefix + "America/Atikokan"
|
)
|
|
expected = Index(np.arange(10, dtype=np.int32))
|
tm.assert_index_equal(dr.hour, expected)
|
|
@pytest.mark.parametrize("tz", [pytz.timezone("US/Eastern"), gettz("US/Eastern")])
|
def test_dti_convert_tz_aware_datetime_datetime(self, tz):
|
# GH#1581
|
dates = [datetime(2000, 1, 1), datetime(2000, 1, 2), datetime(2000, 1, 3)]
|
|
dates_aware = [conversion.localize_pydatetime(x, tz) for x in dates]
|
result = DatetimeIndex(dates_aware)
|
assert timezones.tz_compare(result.tz, tz)
|
|
converted = to_datetime(dates_aware, utc=True)
|
ex_vals = np.array([Timestamp(x).as_unit("ns")._value for x in dates_aware])
|
tm.assert_numpy_array_equal(converted.asi8, ex_vals)
|
assert converted.tz is timezone.utc
|
|
# Note: not difference, as there is no symmetry requirement there
|
@pytest.mark.parametrize("setop", ["union", "intersection", "symmetric_difference"])
|
def test_dti_setop_aware(self, setop):
|
# non-overlapping
|
# GH#39328 as of 2.0 we cast these to UTC instead of object
|
rng = date_range("2012-11-15 00:00:00", periods=6, freq="H", tz="US/Central")
|
|
rng2 = date_range("2012-11-15 12:00:00", periods=6, freq="H", tz="US/Eastern")
|
|
result = getattr(rng, setop)(rng2)
|
|
left = rng.tz_convert("UTC")
|
right = rng2.tz_convert("UTC")
|
expected = getattr(left, setop)(right)
|
tm.assert_index_equal(result, expected)
|
assert result.tz == left.tz
|
if len(result):
|
assert result[0].tz is timezone.utc
|
assert result[-1].tz is timezone.utc
|
|
def test_dti_union_mixed(self):
|
# GH 21671
|
rng = DatetimeIndex([Timestamp("2011-01-01"), pd.NaT])
|
rng2 = DatetimeIndex(["2012-01-01", "2012-01-02"], tz="Asia/Tokyo")
|
result = rng.union(rng2)
|
expected = Index(
|
[
|
Timestamp("2011-01-01"),
|
pd.NaT,
|
Timestamp("2012-01-01", tz="Asia/Tokyo"),
|
Timestamp("2012-01-02", tz="Asia/Tokyo"),
|
],
|
dtype=object,
|
)
|
tm.assert_index_equal(result, expected)
|
|
@pytest.mark.parametrize(
|
"tz", [None, "UTC", "US/Central", dateutil.tz.tzoffset(None, -28800)]
|
)
|
def test_iteration_preserves_nanoseconds(self, tz):
|
# GH 19603
|
index = DatetimeIndex(
|
["2018-02-08 15:00:00.168456358", "2018-02-08 15:00:00.168456359"], tz=tz
|
)
|
for i, ts in enumerate(index):
|
assert ts == index[i] # pylint: disable=unnecessary-list-index-lookup
|
|
|
def test_tz_localize_invalidates_freq():
|
# we only preserve freq in unambiguous cases
|
|
# if localized to US/Eastern, this crosses a DST transition
|
dti = date_range("2014-03-08 23:00", "2014-03-09 09:00", freq="H")
|
assert dti.freq == "H"
|
|
result = dti.tz_localize(None) # no-op
|
assert result.freq == "H"
|
|
result = dti.tz_localize("UTC") # unambiguous freq preservation
|
assert result.freq == "H"
|
|
result = dti.tz_localize("US/Eastern", nonexistent="shift_forward")
|
assert result.freq is None
|
assert result.inferred_freq is None # i.e. we are not _too_ strict here
|
|
# Case where we _can_ keep freq because we're length==1
|
dti2 = dti[:1]
|
result = dti2.tz_localize("US/Eastern")
|
assert result.freq == "H"
|
