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from datetime import (
datetime,
timedelta,
timezone,
)
import numpy as np
import pytest
from pandas._libs.tslibs import (
OutOfBoundsDatetime,
Timedelta,
Timestamp,
offsets,
to_offset,
)
import pandas._testing as tm
class TestTimestampArithmetic:
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")
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"
)
lmsg = "|".join(
["Python int too large to convert to C long", "int too big to convert"]
)
with pytest.raises(OverflowError, match=lmsg):
stamp + offset_overflow
with pytest.raises(OverflowError, match=msg):
offset_overflow + stamp
with pytest.raises(OverflowError, match=lmsg):
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**5
with pytest.raises(OverflowError, match=lmsg):
stamp + offset_overflow
with pytest.raises(OverflowError, match=msg):
offset_overflow + stamp
with pytest.raises(OverflowError, match=lmsg):
stamp - offset_overflow
def test_overflow_timestamp_raises(self):
# https://github.com/pandas-dev/pandas/issues/31774
msg = "Result is too large"
a = Timestamp("2101-01-01 00:00:00")
b = Timestamp("1688-01-01 00:00:00")
with pytest.raises(OutOfBoundsDatetime, match=msg):
a - b
# but we're OK for timestamp and datetime.datetime
assert (a - b.to_pydatetime()) == (a.to_pydatetime() - b)
def test_delta_preserve_nanos(self):
val = Timestamp(1337299200000000123)
result = val + timedelta(1)
assert result.nanosecond == val.nanosecond
def test_rsub_dtscalars(self, tz_naive_fixture):
# In particular, check that datetime64 - Timestamp works GH#28286
td = Timedelta(1235345642000)
ts = Timestamp("2021-01-01", tz=tz_naive_fixture)
other = ts + td
assert other - ts == td
assert other.to_pydatetime() - ts == td
if tz_naive_fixture is None:
assert other.to_datetime64() - ts == td
else:
msg = "Cannot subtract tz-naive and tz-aware datetime-like objects"
with pytest.raises(TypeError, match=msg):
other.to_datetime64() - ts
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_subtract_tzaware_datetime(self):
t1 = Timestamp("2020-10-22T22:00:00+00:00")
t2 = datetime(2020, 10, 22, 22, tzinfo=timezone.utc)
result = t1 - t2
assert isinstance(result, Timedelta)
assert result == Timedelta("0 days")
def test_subtract_timestamp_from_different_timezone(self):
t1 = Timestamp("20130101").tz_localize("US/Eastern")
t2 = Timestamp("20130101").tz_localize("CET")
result = t1 - t2
assert isinstance(result, Timedelta)
assert result == Timedelta("0 days 06:00:00")
def test_subtracting_involving_datetime_with_different_tz(self):
t1 = datetime(2013, 1, 1, tzinfo=timezone(timedelta(hours=-5)))
t2 = Timestamp("20130101").tz_localize("CET")
result = t1 - t2
assert isinstance(result, Timedelta)
assert result == Timedelta("0 days 06:00:00")
result = t2 - t1
assert isinstance(result, Timedelta)
assert result == Timedelta("-1 days +18:00:00")
def test_subtracting_different_timezones(self, tz_aware_fixture):
t_raw = Timestamp("20130101")
t_UTC = t_raw.tz_localize("UTC")
t_diff = t_UTC.tz_convert(tz_aware_fixture) + Timedelta("0 days 05:00:00")
result = t_diff - t_UTC
assert isinstance(result, Timedelta)
assert result == Timedelta("0 days 05:00:00")
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
with tm.assert_produces_warning(FutureWarning, match="The 'freq' argument"):
# freq deprecated
ts = Timestamp(dt, freq="D")
msg = "Addition/subtraction of integers"
with pytest.raises(TypeError, match=msg):
# GH#22535 add/sub with integers is deprecated
ts + 1
with pytest.raises(TypeError, match=msg):
ts - 1
# 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
@pytest.mark.parametrize(
"freq, td, td64",
[
("S", timedelta(seconds=1), np.timedelta64(1, "s")),
("min", timedelta(minutes=1), np.timedelta64(1, "m")),
("H", timedelta(hours=1), np.timedelta64(1, "h")),
("D", timedelta(days=1), np.timedelta64(1, "D")),
("W", timedelta(weeks=1), np.timedelta64(1, "W")),
("M", None, np.timedelta64(1, "M")),
],
)
@pytest.mark.filterwarnings("ignore:Timestamp.freq is deprecated:FutureWarning")
@pytest.mark.filterwarnings("ignore:The 'freq' argument:FutureWarning")
def test_addition_subtraction_preserve_frequency(self, freq, td, td64):
ts = Timestamp("2014-03-05 00:00:00", freq=freq)
original_freq = ts.freq
assert (ts + 1 * original_freq).freq == original_freq
assert (ts - 1 * original_freq).freq == original_freq
if td is not None:
# timedelta does not support months as unit
assert (ts + td).freq == original_freq
assert (ts - td).freq == original_freq
assert (ts + td64).freq == original_freq
assert (ts - td64).freq == original_freq
@pytest.mark.parametrize(
"td", [Timedelta(hours=3), np.timedelta64(3, "h"), timedelta(hours=3)]
)
def test_radd_tdscalar(self, td, fixed_now_ts):
# GH#24775 timedelta64+Timestamp should not raise
ts = fixed_now_ts
assert td + ts == ts + td
@pytest.mark.parametrize(
"other,expected_difference",
[
(np.timedelta64(-123, "ns"), -123),
(np.timedelta64(1234567898, "ns"), 1234567898),
(np.timedelta64(-123, "us"), -123000),
(np.timedelta64(-123, "ms"), -123000000),
],
)
def test_timestamp_add_timedelta64_unit(self, other, expected_difference):
ts = Timestamp(datetime.utcnow())
result = ts + other
valdiff = result.value - ts.value
assert valdiff == expected_difference
@pytest.mark.parametrize(
"ts",
[
Timestamp("1776-07-04"),
Timestamp("1776-07-04", tz="UTC"),
],
)
@pytest.mark.parametrize(
"other",
[
1,
np.int64(1),
np.array([1, 2], dtype=np.int32),
np.array([3, 4], dtype=np.uint64),
],
)
def test_add_int_with_freq(self, ts, other):
msg = "Addition/subtraction of integers and integer-arrays"
with pytest.raises(TypeError, match=msg):
ts + other
with pytest.raises(TypeError, match=msg):
other + ts
with pytest.raises(TypeError, match=msg):
ts - other
msg = "unsupported operand type"
with pytest.raises(TypeError, match=msg):
other - ts
@pytest.mark.parametrize("shape", [(6,), (2, 3)])
def test_addsub_m8ndarray(self, shape):
# GH#33296
ts = Timestamp("2020-04-04 15:45")
other = np.arange(6).astype("m8[h]").reshape(shape)
result = ts + other
ex_stamps = [ts + Timedelta(hours=n) for n in range(6)]
expected = np.array([x.asm8 for x in ex_stamps], dtype="M8[ns]").reshape(shape)
tm.assert_numpy_array_equal(result, expected)
result = other + ts
tm.assert_numpy_array_equal(result, expected)
result = ts - other
ex_stamps = [ts - Timedelta(hours=n) for n in range(6)]
expected = np.array([x.asm8 for x in ex_stamps], dtype="M8[ns]").reshape(shape)
tm.assert_numpy_array_equal(result, expected)
msg = r"unsupported operand type\(s\) for -: 'numpy.ndarray' and 'Timestamp'"
with pytest.raises(TypeError, match=msg):
other - ts
@pytest.mark.parametrize("shape", [(6,), (2, 3)])
def test_addsub_m8ndarray_tzaware(self, shape):
# GH#33296
ts = Timestamp("2020-04-04 15:45", tz="US/Pacific")
other = np.arange(6).astype("m8[h]").reshape(shape)
result = ts + other
ex_stamps = [ts + Timedelta(hours=n) for n in range(6)]
expected = np.array(ex_stamps).reshape(shape)
tm.assert_numpy_array_equal(result, expected)
result = other + ts
tm.assert_numpy_array_equal(result, expected)
result = ts - other
ex_stamps = [ts - Timedelta(hours=n) for n in range(6)]
expected = np.array(ex_stamps).reshape(shape)
tm.assert_numpy_array_equal(result, expected)
msg = r"unsupported operand type\(s\) for -: 'numpy.ndarray' and 'Timestamp'"
with pytest.raises(TypeError, match=msg):
other - ts
def test_subtract_different_utc_objects(self, utc_fixture, utc_fixture2):
# GH 32619
dt = datetime(2021, 1, 1)
ts1 = Timestamp(dt, tz=utc_fixture)
ts2 = Timestamp(dt, tz=utc_fixture2)
result = ts1 - ts2
expected = Timedelta(0)
assert result == expected

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from datetime import (
datetime,
timedelta,
)
import operator
import numpy as np
import pytest
from pandas import Timestamp
import pandas._testing as tm
class TestTimestampComparison:
def test_comparison_dt64_ndarray(self, fixed_now_ts):
ts = Timestamp("2021-01-01")
ts2 = Timestamp("2019-04-05")
arr = np.array([[ts.asm8, ts2.asm8]], dtype="M8[ns]")
result = ts == arr
expected = np.array([[True, False]], dtype=bool)
tm.assert_numpy_array_equal(result, expected)
result = arr == ts
tm.assert_numpy_array_equal(result, expected)
result = ts != arr
tm.assert_numpy_array_equal(result, ~expected)
result = arr != ts
tm.assert_numpy_array_equal(result, ~expected)
result = ts2 < arr
tm.assert_numpy_array_equal(result, expected)
result = arr < ts2
tm.assert_numpy_array_equal(result, np.array([[False, False]], dtype=bool))
result = ts2 <= arr
tm.assert_numpy_array_equal(result, np.array([[True, True]], dtype=bool))
result = arr <= ts2
tm.assert_numpy_array_equal(result, ~expected)
result = ts >= arr
tm.assert_numpy_array_equal(result, np.array([[True, True]], dtype=bool))
result = arr >= ts
tm.assert_numpy_array_equal(result, np.array([[True, False]], dtype=bool))
@pytest.mark.parametrize("reverse", [True, False])
def test_comparison_dt64_ndarray_tzaware(self, reverse, comparison_op):
ts = Timestamp("2021-01-01 00:00:00.00000", tz="UTC")
arr = np.array([ts.asm8, ts.asm8], dtype="M8[ns]")
left, right = ts, arr
if reverse:
left, right = arr, ts
if comparison_op is operator.eq:
expected = np.array([False, False], dtype=bool)
result = comparison_op(left, right)
tm.assert_numpy_array_equal(result, expected)
elif comparison_op is operator.ne:
expected = np.array([True, True], dtype=bool)
result = comparison_op(left, right)
tm.assert_numpy_array_equal(result, expected)
else:
msg = "Cannot compare tz-naive and tz-aware timestamps"
with pytest.raises(TypeError, match=msg):
comparison_op(left, right)
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)
msg = "Cannot compare tz-naive and tz-aware timestamps"
with pytest.raises(TypeError, match=msg):
arr < ts
def test_comparison(self):
# 5-18-2012 00:00:00.000
stamp = 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 == []
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 != []
assert val != {"foo": 1}
assert val != np.float64(1)
assert val != np.int64(1)
@pytest.mark.parametrize("tz", [None, "US/Pacific"])
def test_compare_date(self, tz):
# GH#36131 comparing Timestamp with date object is deprecated
ts = Timestamp("2021-01-01 00:00:00.00000", tz=tz)
dt = ts.to_pydatetime().date()
# These are incorrectly considered as equal because they
# dispatch to the date comparisons which truncates ts
for left, right in [(ts, dt), (dt, ts)]:
with tm.assert_produces_warning(FutureWarning):
assert left == right
with tm.assert_produces_warning(FutureWarning):
assert not left != right
with tm.assert_produces_warning(FutureWarning):
assert not left < right
with tm.assert_produces_warning(FutureWarning):
assert left <= right
with tm.assert_produces_warning(FutureWarning):
assert not left > right
with tm.assert_produces_warning(FutureWarning):
assert left >= right
# Once the deprecation is enforced, the following assertions
# can be enabled:
# assert not left == right
# assert left != right
#
# with pytest.raises(TypeError):
# left < right
# with pytest.raises(TypeError):
# left <= right
# with pytest.raises(TypeError):
# left > right
# with pytest.raises(TypeError):
# left >= right
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)
msg = "Cannot compare tz-naive and tz-aware timestamps"
assert not a == b
assert a != b
with pytest.raises(TypeError, match=msg):
a < b
with pytest.raises(TypeError, match=msg):
a <= b
with pytest.raises(TypeError, match=msg):
a > b
with pytest.raises(TypeError, match=msg):
a >= b
assert not b == a
assert b != a
with pytest.raises(TypeError, match=msg):
b < a
with pytest.raises(TypeError, match=msg):
b <= a
with pytest.raises(TypeError, match=msg):
b > a
with pytest.raises(TypeError, match=msg):
b >= a
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)
other = Timestamp.min.to_pydatetime(warn=False)
assert other - timedelta(microseconds=1) < Timestamp.min
def test_timestamp_compare_oob_dt64(self):
us = np.timedelta64(1, "us")
other = np.datetime64(Timestamp.min).astype("M8[us]")
# This may change if the implementation bound is dropped to match
# DatetimeArray/DatetimeIndex GH#24124
assert Timestamp.min > other
# Note: numpy gets the reversed comparison wrong
other = np.datetime64(Timestamp.max).astype("M8[us]")
assert Timestamp.max > other # not actually OOB
assert other < Timestamp.max
assert Timestamp.max < other + us
# Note: numpy gets the reversed comparison wrong
# GH-42794
other = datetime(9999, 9, 9)
assert Timestamp.min < other
assert other > Timestamp.min
assert Timestamp.max < other
assert other > Timestamp.max
other = datetime(1, 1, 1)
assert Timestamp.max > other
assert other < Timestamp.max
assert Timestamp.min > other
assert other < Timestamp.min
def test_compare_zerodim_array(self, fixed_now_ts):
# GH#26916
ts = fixed_now_ts
dt64 = np.datetime64("2016-01-01", "ns")
arr = np.array(dt64)
assert arr.ndim == 0
result = arr < ts
assert result is np.bool_(True)
result = arr > ts
assert result is np.bool_(False)
def test_rich_comparison_with_unsupported_type():
# Comparisons with unsupported objects should return NotImplemented
# (it previously raised TypeError, see #24011)
class Inf:
def __lt__(self, o):
return False
def __le__(self, o):
return isinstance(o, Inf)
def __gt__(self, o):
return not isinstance(o, Inf)
def __ge__(self, o):
return True
def __eq__(self, other) -> bool:
return isinstance(other, Inf)
inf = Inf()
timestamp = Timestamp("2018-11-30")
for left, right in [(inf, timestamp), (timestamp, inf)]:
assert left > right or left < right
assert left >= right or left <= right
assert not (left == right)
assert left != right

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import calendar
from datetime import (
datetime,
timedelta,
)
import dateutil.tz
from dateutil.tz import tzutc
import numpy as np
import pytest
import pytz
from pandas.compat import PY310
from pandas.errors import OutOfBoundsDatetime
from pandas import (
Period,
Timedelta,
Timestamp,
)
import pandas._testing as tm
from pandas.tseries import offsets
class TestTimestampConstructors:
def test_constructor_datetime64_with_tz(self):
# GH#42288, GH#24559
dt = np.datetime64("1970-01-01 05:00:00")
tzstr = "UTC+05:00"
msg = "interpreted as a wall time"
with tm.assert_produces_warning(FutureWarning, match=msg):
ts = Timestamp(dt, tz=tzstr)
# Check that we match the old behavior
alt = Timestamp(dt).tz_localize("UTC").tz_convert(tzstr)
assert ts == alt
# Check that we *don't* match the future behavior
assert ts.hour != 5
expected_future = Timestamp(dt).tz_localize(tzstr)
assert ts != expected_future
def test_constructor(self):
base_str = "2014-07-01 09:00"
base_dt = datetime(2014, 7, 1, 9)
base_expected = 1_404_205_200_000_000_000
# confirm base representation is correct
assert calendar.timegm(base_dt.timetuple()) * 1_000_000_000 == base_expected
tests = [
(base_str, base_dt, base_expected),
(
"2014-07-01 10:00",
datetime(2014, 7, 1, 10),
base_expected + 3600 * 1_000_000_000,
),
(
"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
# re-creation shouldn't affect to internal value
result = Timestamp(result)
assert result.value == 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 * 1_000_000_000
assert result.value == expected_tz
# should preserve tz
result = Timestamp(result)
assert result.value == 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 * 1_000_000_000
assert result.value == 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 = 1_404_205_200_000_000_000
# confirm base representation is correct
assert calendar.timegm(base_dt.timetuple()) * 1_000_000_000 == base_expected
tests = [
(base_str, base_expected),
("2014-07-01 12:00:00+02:00", base_expected + 3600 * 1_000_000_000),
("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
# re-creation shouldn't affect to internal value
result = Timestamp(result)
assert result.value == expected
# with timezone
for tz, offset in timezones:
result = Timestamp(date_str, tz=tz)
expected_tz = expected
assert result.value == expected_tz
# should preserve tz
result = Timestamp(result)
assert result.value == expected_tz
# should convert to UTC
result = Timestamp(result).tz_convert("UTC")
expected_utc = expected
assert result.value == 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')"
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):
msg = "Cannot convert input"
with pytest.raises(TypeError, match=msg):
Timestamp(slice(2))
msg = "Cannot convert Period"
with pytest.raises(ValueError, match=msg):
Timestamp(Period("1000-01-01"))
def test_constructor_invalid_tz(self):
# GH#17690
msg = (
"Argument 'tzinfo' has incorrect type "
r"\(expected datetime.tzinfo, got str\)"
)
with pytest.raises(TypeError, match=msg):
Timestamp("2017-10-22", tzinfo="US/Eastern")
msg = "at most one of"
with pytest.raises(ValueError, match=msg):
Timestamp("2017-10-22", tzinfo=pytz.utc, tz="UTC")
msg = "Invalid frequency:"
msg2 = "The 'freq' argument"
with pytest.raises(ValueError, match=msg):
# GH#5168
# case where user tries to pass tz as an arg, not kwarg, gets
# interpreted as a `freq`
with tm.assert_produces_warning(FutureWarning, match=msg2):
Timestamp("2012-01-01", "US/Pacific")
def test_constructor_strptime(self):
# GH25016
# Test support for Timestamp.strptime
fmt = "%Y%m%d-%H%M%S-%f%z"
ts = "20190129-235348-000001+0000"
msg = r"Timestamp.strptime\(\) is not implemented"
with pytest.raises(NotImplementedError, match=msg):
Timestamp.strptime(ts, fmt)
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=pytz.utc),
Timestamp(year=2017, month=10, day=22, tz=pytz.utc),
Timestamp(datetime(2017, 10, 22), tzinfo=pytz.utc),
Timestamp(datetime(2017, 10, 22), tz="UTC"),
Timestamp(datetime(2017, 10, 22), tz=pytz.utc),
]
assert all(ts == stamps[0] for ts in stamps)
def test_constructor_positional(self):
# see gh-10758
msg = (
"'NoneType' object cannot be interpreted as an integer"
if PY310
else "an integer is required"
)
with pytest.raises(TypeError, match=msg):
Timestamp(2000, 1)
msg = "month must be in 1..12"
with pytest.raises(ValueError, match=msg):
Timestamp(2000, 0, 1)
with pytest.raises(ValueError, match=msg):
Timestamp(2000, 13, 1)
msg = "day is out of range for month"
with pytest.raises(ValueError, match=msg):
Timestamp(2000, 1, 0)
with pytest.raises(ValueError, match=msg):
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
msg = "function missing required argument 'day'|Required argument 'day'"
with pytest.raises(TypeError, match=msg):
Timestamp(year=2000, month=1)
msg = "month must be in 1..12"
with pytest.raises(ValueError, match=msg):
Timestamp(year=2000, month=0, day=1)
with pytest.raises(ValueError, match=msg):
Timestamp(year=2000, month=13, day=1)
msg = "day is out of range for month"
with pytest.raises(ValueError, match=msg):
Timestamp(year=2000, month=1, day=0)
with pytest.raises(ValueError, match=msg):
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"))
@pytest.mark.filterwarnings("ignore:Timestamp.freq is:FutureWarning")
@pytest.mark.filterwarnings("ignore:The 'freq' argument:FutureWarning")
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),
# error: Argument 9 to "Timestamp" has incompatible type "_UTCclass";
# expected "Optional[int]"
Timestamp(2000, 1, 2, 3, 4, 5, 6, 1, pytz.UTC), # type: ignore[arg-type]
],
)
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
msg = "could not convert string to Timestamp"
with pytest.raises(ValueError, match=msg):
Timestamp(f"2014-11-02 01:00{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}
msg = "Cannot pass a date attribute keyword argument"
with pytest.raises(ValueError, match=msg):
Timestamp("2010-10-10 12:59:59.999999999", **kwarg)
def test_out_of_bounds_integer_value(self):
# GH#26651 check that we raise OutOfBoundsDatetime, not OverflowError
msg = str(Timestamp.max.value * 2)
with pytest.raises(OutOfBoundsDatetime, match=msg):
Timestamp(Timestamp.max.value * 2)
msg = str(Timestamp.min.value * 2)
with pytest.raises(OutOfBoundsDatetime, match=msg):
Timestamp(Timestamp.min.value * 2)
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]") + one_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)
msg = "Out of bounds"
# One us less than the minimum is an error
with pytest.raises(ValueError, match=msg):
Timestamp(min_ts_us - one_us)
# One us more than the maximum is an error
with pytest.raises(ValueError, match=msg):
Timestamp(max_ts_us + one_us)
def test_out_of_bounds_string(self):
msg = "Out of bounds"
with pytest.raises(ValueError, match=msg):
Timestamp("1676-01-01")
with pytest.raises(ValueError, match=msg):
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
msg = "Out of bounds nanosecond timestamp: 2262-04-11 23:47:16"
with pytest.raises(OutOfBoundsDatetime, match=msg):
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, unit)
msg = "Out of bounds"
with pytest.raises(OutOfBoundsDatetime, match=msg):
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, unit)
Timestamp(dt64)
@pytest.mark.parametrize("arg", ["001-01-01", "0001-01-01"])
def test_out_of_bounds_string_consistency(self, arg):
# GH 15829
msg = "Out of bounds"
with pytest.raises(OutOfBoundsDatetime, match=msg):
Timestamp(arg)
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")
msg = "Cannot directly set timezone"
with pytest.raises(AttributeError, match=msg):
ts.tz = tz
@pytest.mark.parametrize("offset", ["+0300", "+0200"])
def test_construct_timestamp_near_dst(self, offset):
# GH 20854
expected = Timestamp(f"2016-10-30 03:00:00{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
with tm.assert_produces_warning(FutureWarning, match="The 'freq' argument"):
result = Timestamp(Timestamp("2010-08-08", freq="D")).freq
expected = offsets.Day()
assert result == expected
def test_constructor_invalid_frequency(self):
# GH 22311
msg = "Invalid frequency:"
msg2 = "The 'freq' argument"
with pytest.raises(ValueError, match=msg):
with tm.assert_produces_warning(FutureWarning, match=msg2):
Timestamp("2012-01-01", freq=[])
@pytest.mark.parametrize("box", [datetime, Timestamp])
def test_raise_tz_and_tzinfo_in_datetime_input(self, box):
# GH 23579
kwargs = {"year": 2018, "month": 1, "day": 1, "tzinfo": pytz.utc}
msg = "Cannot pass a datetime or Timestamp"
with pytest.raises(ValueError, match=msg):
Timestamp(box(**kwargs), tz="US/Pacific")
msg = "Cannot pass a datetime or Timestamp"
with pytest.raises(ValueError, match=msg):
Timestamp(box(**kwargs), tzinfo=pytz.timezone("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
def test_constructor_subclassed_datetime(self):
# GH 25851
# ensure that subclassed datetime works for
# Timestamp creation
class SubDatetime(datetime):
pass
data = SubDatetime(2000, 1, 1)
result = Timestamp(data)
expected = Timestamp(2000, 1, 1)
assert result == expected
def test_constructor_fromisocalendar(self):
# GH 30395
expected_timestamp = Timestamp("2000-01-03 00:00:00")
expected_stdlib = datetime.fromisocalendar(2000, 1, 1)
result = Timestamp.fromisocalendar(2000, 1, 1)
assert result == expected_timestamp
assert result == expected_stdlib
assert isinstance(result, Timestamp)
def test_constructor_ambigous_dst():
# GH 24329
# Make sure that calling Timestamp constructor
# on Timestamp created from ambiguous time
# doesn't change Timestamp.value
ts = Timestamp(1382835600000000000, tz="dateutil/Europe/London")
expected = ts.value
result = Timestamp(ts).value
assert result == expected
@pytest.mark.parametrize("epoch", [1552211999999999872, 1552211999999999999])
def test_constructor_before_dst_switch(epoch):
# GH 31043
# Make sure that calling Timestamp constructor
# on time just before DST switch doesn't lead to
# nonexistent time or value change
ts = Timestamp(epoch, tz="dateutil/America/Los_Angeles")
result = ts.tz.dst(ts)
expected = timedelta(seconds=0)
assert Timestamp(ts).value == epoch
assert result == expected
def test_timestamp_constructor_identity():
# Test for #30543
expected = Timestamp("2017-01-01T12")
result = Timestamp(expected)
assert result is expected
@pytest.mark.parametrize("kwargs", [{}, {"year": 2020}, {"year": 2020, "month": 1}])
def test_constructor_missing_keyword(kwargs):
# GH 31200
# The exact error message of datetime() depends on its version
msg1 = r"function missing required argument '(year|month|day)' \(pos [123]\)"
msg2 = r"Required argument '(year|month|day)' \(pos [123]\) not found"
msg = "|".join([msg1, msg2])
with pytest.raises(TypeError, match=msg):
Timestamp(**kwargs)

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import pytest
from pandas import Timestamp
ts_no_ns = Timestamp(
year=2019,
month=5,
day=18,
hour=15,
minute=17,
second=8,
microsecond=132263,
)
ts_ns = Timestamp(
year=2019,
month=5,
day=18,
hour=15,
minute=17,
second=8,
microsecond=132263,
nanosecond=123,
)
ts_ns_tz = Timestamp(
year=2019,
month=5,
day=18,
hour=15,
minute=17,
second=8,
microsecond=132263,
nanosecond=123,
tz="UTC",
)
ts_no_us = Timestamp(
year=2019,
month=5,
day=18,
hour=15,
minute=17,
second=8,
microsecond=0,
nanosecond=123,
)
@pytest.mark.parametrize(
"ts, timespec, expected_iso",
[
(ts_no_ns, "auto", "2019-05-18T15:17:08.132263"),
(ts_no_ns, "seconds", "2019-05-18T15:17:08"),
(ts_no_ns, "nanoseconds", "2019-05-18T15:17:08.132263000"),
(ts_ns, "auto", "2019-05-18T15:17:08.132263123"),
(ts_ns, "hours", "2019-05-18T15"),
(ts_ns, "minutes", "2019-05-18T15:17"),
(ts_ns, "seconds", "2019-05-18T15:17:08"),
(ts_ns, "milliseconds", "2019-05-18T15:17:08.132"),
(ts_ns, "microseconds", "2019-05-18T15:17:08.132263"),
(ts_ns, "nanoseconds", "2019-05-18T15:17:08.132263123"),
(ts_ns_tz, "auto", "2019-05-18T15:17:08.132263123+00:00"),
(ts_ns_tz, "hours", "2019-05-18T15+00:00"),
(ts_ns_tz, "minutes", "2019-05-18T15:17+00:00"),
(ts_ns_tz, "seconds", "2019-05-18T15:17:08+00:00"),
(ts_ns_tz, "milliseconds", "2019-05-18T15:17:08.132+00:00"),
(ts_ns_tz, "microseconds", "2019-05-18T15:17:08.132263+00:00"),
(ts_ns_tz, "nanoseconds", "2019-05-18T15:17:08.132263123+00:00"),
(ts_no_us, "auto", "2019-05-18T15:17:08.000000123"),
],
)
def test_isoformat(ts, timespec, expected_iso):
assert ts.isoformat(timespec=timespec) == expected_iso

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import pprint
import pytest
import pytz # noqa # a test below uses pytz but only inside a `eval` call
from pandas import Timestamp
import pandas._testing as tm
class TestTimestampRendering:
timezones = ["UTC", "Asia/Tokyo", "US/Eastern", "dateutil/US/Pacific"]
@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 = f"'{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))
msg = "The 'freq' argument in Timestamp"
with tm.assert_produces_warning(FutureWarning, match=msg):
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)
with tm.assert_produces_warning(
FutureWarning, match=msg, check_stacklevel=False
):
assert date_freq == eval(repr(date_freq))
with tm.assert_produces_warning(FutureWarning, match=msg):
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)
with tm.assert_produces_warning(
FutureWarning, match=msg, check_stacklevel=False
):
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
def test_to_timestamp_repr_is_code(self):
zs = [
Timestamp("99-04-17 00:00:00", tz="UTC"),
Timestamp("2001-04-17 00:00:00", tz="UTC"),
Timestamp("2001-04-17 00:00:00", tz="America/Los_Angeles"),
Timestamp("2001-04-17 00:00:00", tz=None),
]
for z in zs:
assert eval(repr(z)) == z

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""" test the scalar Timestamp """
import calendar
from datetime import (
datetime,
timedelta,
)
import locale
import pickle
import unicodedata
from dateutil.tz import tzutc
import numpy as np
import pytest
import pytz
from pytz import (
timezone,
utc,
)
from pandas._libs.tslibs.timezones import (
dateutil_gettz as gettz,
get_timezone,
)
import pandas.util._test_decorators as td
from pandas import (
NaT,
Timedelta,
Timestamp,
)
import pandas._testing as tm
from pandas.tseries import offsets
class TestTimestampProperties:
def test_freq_deprecation(self):
# GH#41586
msg = "The 'freq' argument in Timestamp is deprecated"
with tm.assert_produces_warning(FutureWarning, match=msg):
# warning issued at construction
ts = Timestamp("2021-06-01", freq="D")
ts2 = Timestamp("2021-06-01", freq="B")
msg = "Timestamp.freq is deprecated"
with tm.assert_produces_warning(FutureWarning, match=msg):
# warning issued at attribute lookup
ts.freq
for per in ["month", "quarter", "year"]:
for side in ["start", "end"]:
attr = f"is_{per}_{side}"
with tm.assert_produces_warning(FutureWarning, match=msg):
getattr(ts2, attr)
# is_(month|quarter|year)_(start|end) does _not_ issue a warning
# with freq="D" bc the result will be unaffected by the deprecation
with tm.assert_produces_warning(None):
getattr(ts, attr)
@pytest.mark.filterwarnings("ignore:The 'freq' argument:FutureWarning")
@pytest.mark.filterwarnings("ignore:Timestamp.freq is deprecated:FutureWarning")
def test_properties_business(self):
ts = Timestamp("2017-10-01", freq="B")
control = Timestamp("2017-10-01")
assert ts.dayofweek == 6
assert ts.day_of_week == 6
assert not ts.is_month_start # not a weekday
assert not ts.freq.is_month_start(ts)
assert ts.freq.is_month_start(ts + Timedelta(days=1))
assert not ts.is_quarter_start # not a weekday
assert not ts.freq.is_quarter_start(ts)
assert ts.freq.is_quarter_start(ts + Timedelta(days=1))
# 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 ts.day_of_week == 5
assert not ts.is_month_end # not a weekday
assert not ts.freq.is_month_end(ts)
assert ts.freq.is_month_end(ts - Timedelta(days=1))
assert not ts.is_quarter_end # not a weekday
assert not ts.freq.is_quarter_end(ts)
assert ts.freq.is_quarter_end(ts - Timedelta(days=1))
# Control case: non-business is month/qtr start
assert control.is_month_end
assert control.is_quarter_end
@pytest.mark.parametrize(
"attr, expected",
[
["year", 2014],
["month", 12],
["day", 31],
["hour", 23],
["minute", 59],
["second", 0],
["microsecond", 0],
["nanosecond", 0],
["dayofweek", 2],
["day_of_week", 2],
["quarter", 4],
["dayofyear", 365],
["day_of_year", 365],
["week", 1],
["daysinmonth", 31],
],
)
@pytest.mark.parametrize("tz", [None, "US/Eastern"])
def test_fields(self, attr, expected, tz):
# GH 10050
# GH 13303
ts = Timestamp("2014-12-31 23:59:00", tz=tz)
result = getattr(ts, attr)
# that we are int like
assert isinstance(result, int)
assert result == expected
@pytest.mark.parametrize("tz", [None, "US/Eastern"])
def test_millisecond_raises(self, tz):
ts = Timestamp("2014-12-31 23:59:00", tz=tz)
msg = "'Timestamp' object has no attribute 'millisecond'"
with pytest.raises(AttributeError, match=msg):
ts.millisecond
@pytest.mark.parametrize(
"start", ["is_month_start", "is_quarter_start", "is_year_start"]
)
@pytest.mark.parametrize("tz", [None, "US/Eastern"])
def test_is_start(self, start, tz):
ts = Timestamp("2014-01-01 00:00:00", tz=tz)
assert getattr(ts, start)
@pytest.mark.parametrize("end", ["is_month_end", "is_year_end", "is_quarter_end"])
@pytest.mark.parametrize("tz", [None, "US/Eastern"])
def test_is_end(self, end, tz):
ts = Timestamp("2014-12-31 23:59:59", tz=tz)
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")],
)
# error: Unsupported operand types for + ("List[None]" and "List[str]")
@pytest.mark.parametrize(
"time_locale", [None] + (tm.get_locales() or []) # type: ignore[operator]
)
def test_names(self, data, time_locale):
# GH 17354
# Test .day_name(), .month_name
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
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)
# Check that the attribute is available on the class, mirroring
# the stdlib datetime behavior
assert Timestamp.resolution == Timedelta(nanoseconds=1)
class TestTimestamp:
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(7_960_929)
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 - Timestamp(y).value) / 1e9) == 0
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())
msg = "timezone-aware Timestamp with UTC"
with tm.assert_produces_warning(FutureWarning, match=msg):
# GH#22451
ts_utc = Timestamp.utcfromtimestamp(current_time)
compare(
ts_utc,
datetime.utcfromtimestamp(current_time),
)
compare(
Timestamp.fromtimestamp(current_time), datetime.fromtimestamp(current_time)
)
compare(
# Support tz kwarg in Timestamp.fromtimestamp
Timestamp.fromtimestamp(current_time, "UTC"),
datetime.fromtimestamp(current_time, utc),
)
compare(
# Support tz kwarg in Timestamp.fromtimestamp
Timestamp.fromtimestamp(current_time, tz="UTC"),
datetime.fromtimestamp(current_time, utc),
)
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)
- np.round(Timestamp(y).value / 1e9)
)
== 0
)
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())
msg = "timezone-aware Timestamp with UTC"
with tm.assert_produces_warning(FutureWarning, match=msg):
# GH#22451
ts_utc = Timestamp.utcfromtimestamp(current_time)
compare(
ts_utc,
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(946_684_800_000_000_000).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 + 80_000_000_000_000
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 / 1000, {"unit": "us"}],
[946688461000000000 / 1_000_000, {"unit": "ms"}],
[946688461000000000 / 1_000_000_000, {"unit": "s"}],
[10957, {"unit": "D", "h": 0}],
[
(946688461000000000 + 500000) / 1000000000,
{"unit": "s", "us": 499, "ns": 964},
],
[
(946688461000000000 + 500000000) / 1000000000,
{"unit": "s", "us": 500000},
],
[(946688461000000000 + 500000) / 1000000, {"unit": "ms", "us": 500}],
[(946688461000000000 + 500000) / 1000, {"unit": "us", "us": 500}],
[(946688461000000000 + 500000000) / 1000000, {"unit": "ms", "us": 500000}],
[946688461000000000 / 1000.0 + 5, {"unit": "us", "us": 5}],
[946688461000000000 / 1000.0 + 5000, {"unit": "us", "us": 5000}],
[946688461000000000 / 1000000.0 + 0.5, {"unit": "ms", "us": 500}],
[946688461000000000 / 1000000.0 + 0.005, {"unit": "ms", "us": 5, "ns": 5}],
[946688461000000000 / 1000000000.0 + 0.5, {"unit": "s", "us": 500000}],
[10957 + 0.5, {"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(f"{base}.005000")
assert result.microsecond == 5000
result = Timestamp(base.value + Timedelta("5us").value)
assert result == Timestamp(f"{base}.000005")
assert result.microsecond == 5
result = Timestamp(base.value + Timedelta("5ns").value)
assert result == Timestamp(f"{base}.000000005")
assert result.nanosecond == 5
assert result.microsecond == 0
result = Timestamp(base.value + Timedelta("6ms 5us").value)
assert result == Timestamp(f"{base}.006005")
assert result.microsecond == 5 + 6 * 1000
result = Timestamp(base.value + Timedelta("200ms 5us").value)
assert result == Timestamp(f"{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
@pytest.mark.parametrize(
"timezone, year, month, day, hour",
[["America/Chicago", 2013, 11, 3, 1], ["America/Santiago", 2021, 4, 3, 23]],
)
def test_hash_timestamp_with_fold(self, timezone, year, month, day, hour):
# see gh-33931
test_timezone = gettz(timezone)
transition_1 = Timestamp(
year=year,
month=month,
day=day,
hour=hour,
minute=0,
fold=0,
tzinfo=test_timezone,
)
transition_2 = Timestamp(
year=year,
month=month,
day=day,
hour=hour,
minute=0,
fold=1,
tzinfo=test_timezone,
)
assert hash(transition_1) == hash(transition_2)
def test_tz_conversion_freq(self, tz_naive_fixture):
# GH25241
with tm.assert_produces_warning(FutureWarning, match="freq"):
t1 = Timestamp("2019-01-01 10:00", freq="H")
assert t1.tz_localize(tz=tz_naive_fixture).freq == t1.freq
with tm.assert_produces_warning(FutureWarning, match="freq"):
t2 = Timestamp("2019-01-02 12:00", tz="UTC", freq="T")
assert t2.tz_convert(tz="UTC").freq == t2.freq
def test_pickle_freq_no_warning(self):
# GH#41949 we don't want a warning on unpickling
with tm.assert_produces_warning(FutureWarning, match="freq"):
ts = Timestamp("2019-01-01 10:00", freq="H")
out = pickle.dumps(ts)
with tm.assert_produces_warning(None):
res = pickle.loads(out)
assert res._freq == ts._freq
class TestTimestampNsOperations:
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 = 1_367_392_545_123_456_789
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 * 1_000_000_000
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 * 1_000_000_000
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 = 1_293_840_000_000_000_005
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("2011-01-01 00:00:00.000000005")
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
assert t.value == expected
assert t.nanosecond == 5
expected = 1_293_840_000_000_000_010
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("2011-01-01 00:00:00.000000010")
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
assert t.value == expected
assert t.nanosecond == 10
class TestTimestampToJulianDate:
def test_compare_1700(self):
r = Timestamp("1700-06-23").to_julian_date()
assert r == 2_342_145.5
def test_compare_2000(self):
r = Timestamp("2000-04-12").to_julian_date()
assert r == 2_451_646.5
def test_compare_2100(self):
r = Timestamp("2100-08-12").to_julian_date()
assert r == 2_488_292.5
def test_compare_hour01(self):
r = Timestamp("2000-08-12T01:00:00").to_julian_date()
assert r == 2_451_768.5416666666666666
def test_compare_hour13(self):
r = Timestamp("2000-08-12T13:00:00").to_julian_date()
assert r == 2_451_769.0416666666666666
class TestTimestampConversion:
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_fold(self):
# GH#45087
tzstr = "dateutil/usr/share/zoneinfo/America/Chicago"
ts = Timestamp(year=2013, month=11, day=3, hour=1, minute=0, fold=1, tz=tzstr)
dt = ts.to_pydatetime()
assert dt.fold == 1
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):
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")
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")
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"))
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo
@td.skip_if_windows
def test_timestamp_to_datetime_explicit_dateutil(self):
stamp = Timestamp("20090415", tz=gettz("US/Eastern"))
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):
pydt_max = Timestamp.max.to_pydatetime()
assert Timestamp(pydt_max).value / 1000 == Timestamp.max.value / 1000
exp_warning = None if Timestamp.min.nanosecond == 0 else UserWarning
with tm.assert_produces_warning(exp_warning):
pydt_min = Timestamp.min.to_pydatetime()
# The next assertion can be enabled once GH#39221 is merged
# assert pydt_min < Timestamp.min # this is bc nanos are dropped
tdus = timedelta(microseconds=1)
assert pydt_min + tdus > Timestamp.min
assert Timestamp(pydt_min + tdus).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")
def test_to_numpy_alias(self):
# GH 24653: alias .to_numpy() for scalars
ts = Timestamp(datetime.now())
assert ts.to_datetime64() == ts.to_numpy()
# GH#44460
msg = "dtype and copy arguments are ignored"
with pytest.raises(ValueError, match=msg):
ts.to_numpy("M8[s]")
with pytest.raises(ValueError, match=msg):
ts.to_numpy(copy=True)
class SubDatetime(datetime):
pass
@pytest.mark.parametrize(
"lh,rh",
[
(SubDatetime(2000, 1, 1), Timedelta(hours=1)),
(Timedelta(hours=1), SubDatetime(2000, 1, 1)),
],
)
def test_dt_subclass_add_timedelta(lh, rh):
# GH#25851
# ensure that subclassed datetime works for
# Timedelta operations
result = lh + rh
expected = SubDatetime(2000, 1, 1, 1)
assert result == expected

View File

@ -0,0 +1,455 @@
"""
Tests for Timestamp timezone-related methods
"""
from datetime import (
date,
datetime,
timedelta,
)
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,
)
class TestTimestampTZOperations:
# --------------------------------------------------------------
# Timestamp.tz_localize
def test_tz_localize_pushes_out_of_bounds(self):
# GH#12677
# tz_localize that pushes away from the boundary is OK
msg = (
f"Converting {Timestamp.min.strftime('%Y-%m-%d %H:%M:%S')} "
f"underflows past {Timestamp.min}"
)
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, match=msg):
Timestamp.min.tz_localize("Asia/Tokyo")
# tz_localize that pushes away from the boundary is OK
msg = (
f"Converting {Timestamp.max.strftime('%Y-%m-%d %H:%M:%S')} "
f"overflows past {Timestamp.max}"
)
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, match=msg):
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")
msg = "Cannot infer dst time from 2015-11-01 01:00:03"
with pytest.raises(pytz.AmbiguousTimeError, match=msg):
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
msg = "Cannot infer offset with only one time"
with pytest.raises(ValueError, match=msg):
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"),
],
)
def test_tz_localize_nonexistent(self, stamp, tz):
# GH#13057
ts = Timestamp(stamp)
with pytest.raises(NonExistentTimeError, match=stamp):
ts.tz_localize(tz)
# GH 22644
with pytest.raises(NonExistentTimeError, match=stamp):
ts.tz_localize(tz, nonexistent="raise")
assert ts.tz_localize(tz, nonexistent="NaT") is NaT
def test_tz_localize_ambiguous_raise(self):
# GH#13057
ts = Timestamp("2015-11-1 01:00")
msg = "Cannot infer dst time from 2015-11-01 01:00:00,"
with pytest.raises(AmbiguousTimeError, match=msg):
ts.tz_localize("US/Pacific", ambiguous="raise")
def test_tz_localize_nonexistent_invalid_arg(self):
# GH 22644
tz = "Europe/Warsaw"
ts = Timestamp("2015-03-29 02:00:00")
msg = (
"The nonexistent argument must be one of 'raise', 'NaT', "
"'shift_forward', 'shift_backward' or a timedelta object"
)
with pytest.raises(ValueError, match=msg):
ts.tz_localize(tz, nonexistent="foo")
@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)
msg = "Cannot localize tz-aware Timestamp"
with pytest.raises(TypeError, match=msg):
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
# fixed ambiguous behavior
# see gh-14621, GH#45087
assert result_pytz.to_pydatetime().tzname() == "GMT"
assert result_dateutil.to_pydatetime().tzname() == "GMT"
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
# 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")
msg = "2015-03-29 02:20:00"
with pytest.raises(pytz.NonExistentTimeError, match=msg):
ts.tz_localize(tz, nonexistent="raise")
msg = (
"The nonexistent argument must be one of 'raise', 'NaT', "
"'shift_forward', 'shift_backward' or a timedelta object"
)
with pytest.raises(ValueError, match=msg):
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 system utc to real utc
ts = Timestamp("2001-01-05 11:56", tz=timezones.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=timezones.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_from_utc_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
msg = "Cannot infer dst time from 2015-10-25 02:00:00"
with pytest.raises(pytz.AmbiguousTimeError, match=msg):
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
msg = "2017-03-26 02:00"
with pytest.raises(pytz.NonExistentTimeError, match=msg):
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
msg = "2017-03-26 02:00"
with pytest.raises(pytz.NonExistentTimeError, match=msg):
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

View File

@ -0,0 +1,525 @@
from datetime import datetime
from dateutil.tz import gettz
from hypothesis import (
given,
strategies as st,
)
import numpy as np
import pytest
import pytz
from pytz import utc
from pandas._libs import lib
from pandas._libs.tslibs import (
NaT,
Timedelta,
Timestamp,
conversion,
iNaT,
to_offset,
)
from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
import pandas.util._test_decorators as td
import pandas._testing as tm
class TestTimestampUnaryOps:
# --------------------------------------------------------------
# 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 shouldn't 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
msg = "Cannot infer dst time"
with pytest.raises(pytz.AmbiguousTimeError, match=msg):
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
msg = "2018-03-11 02:00:00"
with pytest.raises(pytz.NonExistentTimeError, match=msg):
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, f"floor not a {freq} multiple"
assert 0 <= dt.value - result.value < unit, "floor error"
# test ceil
result = dt.ceil(freq)
assert result.value % unit == 0, f"ceil not a {freq} multiple"
assert 0 <= result.value - dt.value < unit, "ceil error"
# test round
result = dt.round(freq)
assert result.value % unit == 0, f"round not a {freq} multiple"
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"
def test_round_implementation_bounds(self):
# See also: analogous test for Timedelta
result = Timestamp.min.ceil("s")
expected = Timestamp(1677, 9, 21, 0, 12, 44)
assert result == expected
result = Timestamp.max.floor("s")
expected = Timestamp.max - Timedelta(854775807)
assert result == expected
with pytest.raises(OverflowError, match="value too large"):
Timestamp.min.floor("s")
# the second message here shows up in windows builds
msg = "|".join(
["Python int too large to convert to C long", "int too big to convert"]
)
with pytest.raises(OverflowError, match=msg):
Timestamp.max.ceil("s")
@given(val=st.integers(iNaT + 1, lib.i8max))
@pytest.mark.parametrize(
"method", [Timestamp.round, Timestamp.floor, Timestamp.ceil]
)
def test_round_sanity(self, val, method):
val = np.int64(val)
ts = Timestamp(val)
def checker(res, ts, nanos):
if method is Timestamp.round:
diff = np.abs((res - ts).value)
assert diff <= nanos / 2
elif method is Timestamp.floor:
assert res <= ts
elif method is Timestamp.ceil:
assert res >= ts
assert method(ts, "ns") == ts
res = method(ts, "us")
nanos = 1000
assert np.abs((res - ts).value) < nanos
assert res.value % nanos == 0
checker(res, ts, nanos)
res = method(ts, "ms")
nanos = 1_000_000
assert np.abs((res - ts).value) < nanos
assert res.value % nanos == 0
checker(res, ts, nanos)
res = method(ts, "s")
nanos = 1_000_000_000
assert np.abs((res - ts).value) < nanos
assert res.value % nanos == 0
checker(res, ts, nanos)
res = method(ts, "min")
nanos = 60 * 1_000_000_000
assert np.abs((res - ts).value) < nanos
assert res.value % nanos == 0
checker(res, ts, nanos)
res = method(ts, "h")
nanos = 60 * 60 * 1_000_000_000
assert np.abs((res - ts).value) < nanos
assert res.value % nanos == 0
checker(res, ts, nanos)
res = method(ts, "D")
nanos = 24 * 60 * 60 * 1_000_000_000
assert np.abs((res - ts).value) < nanos
assert res.value % nanos == 0
checker(res, ts, nanos)
# --------------------------------------------------------------
# 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)
msg = r"replace\(\) got an unexpected keyword argument"
with pytest.raises(TypeError, match=msg):
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)
msg = "value must be an integer, received <class 'float'> for hour"
with pytest.raises(ValueError, match=msg):
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)
# 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)
# 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
@pytest.mark.parametrize("fold", [0, 1])
@pytest.mark.parametrize("tz", ["dateutil/Europe/London", "Europe/London"])
def test_replace_dst_fold(self, fold, tz):
# GH 25017
d = datetime(2019, 10, 27, 2, 30)
ts = Timestamp(d, tz=tz)
result = ts.replace(hour=1, fold=fold)
expected = Timestamp(datetime(2019, 10, 27, 1, 30)).tz_localize(
tz, ambiguous=not fold
)
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
def test_normalize_pre_epoch_dates(self):
# GH: 36294
result = Timestamp("1969-01-01 09:00:00").normalize()
expected = Timestamp("1969-01-01 00:00:00")
assert result == expected
# --------------------------------------------------------------
@td.skip_if_windows
def test_timestamp(self, fixed_now_ts):
# GH#17329
# tz-naive --> treat it as if it were UTC for purposes of timestamp()
ts = fixed_now_ts
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()
# 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()
@pytest.mark.parametrize("fold", [0, 1])
def test_replace_preserves_fold(fold):
# GH 37610. Check that replace preserves Timestamp fold property
tz = gettz("Europe/Moscow")
ts = Timestamp(year=2009, month=10, day=25, hour=2, minute=30, fold=fold, tzinfo=tz)
ts_replaced = ts.replace(second=1)
assert ts_replaced.fold == fold