Updated script that can be controled by Nodejs web app
This commit is contained in:
mac OS
@ -0,0 +1,86 @@
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import pytest
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from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
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from pandas.errors import OutOfBoundsDatetime
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from pandas import Timestamp
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class TestTimestampAsUnit:
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def test_as_unit(self):
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ts = Timestamp("1970-01-01").as_unit("ns")
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assert ts.unit == "ns"
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assert ts.as_unit("ns") is ts
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res = ts.as_unit("us")
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assert res._value == ts._value // 1000
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assert res._creso == NpyDatetimeUnit.NPY_FR_us.value
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rt = res.as_unit("ns")
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assert rt._value == ts._value
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assert rt._creso == ts._creso
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res = ts.as_unit("ms")
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assert res._value == ts._value // 1_000_000
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assert res._creso == NpyDatetimeUnit.NPY_FR_ms.value
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rt = res.as_unit("ns")
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assert rt._value == ts._value
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assert rt._creso == ts._creso
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res = ts.as_unit("s")
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assert res._value == ts._value // 1_000_000_000
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assert res._creso == NpyDatetimeUnit.NPY_FR_s.value
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rt = res.as_unit("ns")
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assert rt._value == ts._value
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assert rt._creso == ts._creso
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def test_as_unit_overflows(self):
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# microsecond that would be just out of bounds for nano
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us = 9223372800000000
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ts = Timestamp._from_value_and_reso(us, NpyDatetimeUnit.NPY_FR_us.value, None)
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msg = "Cannot cast 2262-04-12 00:00:00 to unit='ns' without overflow"
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with pytest.raises(OutOfBoundsDatetime, match=msg):
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ts.as_unit("ns")
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res = ts.as_unit("ms")
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assert res._value == us // 1000
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assert res._creso == NpyDatetimeUnit.NPY_FR_ms.value
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def test_as_unit_rounding(self):
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ts = Timestamp(1_500_000) # i.e. 1500 microseconds
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res = ts.as_unit("ms")
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expected = Timestamp(1_000_000) # i.e. 1 millisecond
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assert res == expected
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assert res._creso == NpyDatetimeUnit.NPY_FR_ms.value
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assert res._value == 1
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with pytest.raises(ValueError, match="Cannot losslessly convert units"):
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ts.as_unit("ms", round_ok=False)
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def test_as_unit_non_nano(self):
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# case where we are going neither to nor from nano
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ts = Timestamp("1970-01-02").as_unit("ms")
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assert ts.year == 1970
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assert ts.month == 1
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assert ts.day == 2
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assert ts.hour == ts.minute == ts.second == ts.microsecond == ts.nanosecond == 0
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res = ts.as_unit("s")
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assert res._value == 24 * 3600
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assert res.year == 1970
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assert res.month == 1
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assert res.day == 2
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assert (
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res.hour
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== res.minute
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== res.second
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== res.microsecond
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== res.nanosecond
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== 0
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)
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@ -0,0 +1,22 @@
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import pytest
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from pandas._libs.tslibs import Timestamp
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from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
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class TestTimestampNormalize:
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@pytest.mark.parametrize("arg", ["2013-11-30", "2013-11-30 12:00:00"])
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@pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
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def test_normalize(self, tz_naive_fixture, arg, unit):
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tz = tz_naive_fixture
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ts = Timestamp(arg, tz=tz).as_unit(unit)
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result = ts.normalize()
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expected = Timestamp("2013-11-30", tz=tz)
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assert result == expected
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assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
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def test_normalize_pre_epoch_dates(self):
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# GH: 36294
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result = Timestamp("1969-01-01 09:00:00").normalize()
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expected = Timestamp("1969-01-01 00:00:00")
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assert result == expected
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@ -0,0 +1,193 @@
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from datetime import datetime
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from dateutil.tz import gettz
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import numpy as np
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import pytest
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import pytz
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from pandas._libs.tslibs import (
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OutOfBoundsDatetime,
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Timestamp,
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conversion,
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)
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from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
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import pandas.util._test_decorators as td
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import pandas._testing as tm
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class TestTimestampReplace:
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def test_replace_out_of_pydatetime_bounds(self):
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# GH#50348
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ts = Timestamp("2016-01-01").as_unit("ns")
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msg = "Out of bounds timestamp: 99999-01-01 00:00:00 with frequency 'ns'"
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with pytest.raises(OutOfBoundsDatetime, match=msg):
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ts.replace(year=99_999)
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ts = ts.as_unit("ms")
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result = ts.replace(year=99_999)
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assert result.year == 99_999
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assert result._value == Timestamp(np.datetime64("99999-01-01", "ms"))._value
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def test_replace_non_nano(self):
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ts = Timestamp._from_value_and_reso(
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91514880000000000, NpyDatetimeUnit.NPY_FR_us.value, None
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)
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assert ts.to_pydatetime() == datetime(4869, 12, 28)
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result = ts.replace(year=4900)
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assert result._creso == ts._creso
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assert result.to_pydatetime() == datetime(4900, 12, 28)
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def test_replace_naive(self):
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# GH#14621, GH#7825
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ts = Timestamp("2016-01-01 09:00:00")
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result = ts.replace(hour=0)
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expected = Timestamp("2016-01-01 00:00:00")
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assert result == expected
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def test_replace_aware(self, tz_aware_fixture):
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tz = tz_aware_fixture
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# GH#14621, GH#7825
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# replacing datetime components with and w/o presence of a timezone
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ts = Timestamp("2016-01-01 09:00:00", tz=tz)
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result = ts.replace(hour=0)
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expected = Timestamp("2016-01-01 00:00:00", tz=tz)
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assert result == expected
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def test_replace_preserves_nanos(self, tz_aware_fixture):
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tz = tz_aware_fixture
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# GH#14621, GH#7825
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ts = Timestamp("2016-01-01 09:00:00.000000123", tz=tz)
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result = ts.replace(hour=0)
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expected = Timestamp("2016-01-01 00:00:00.000000123", tz=tz)
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assert result == expected
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def test_replace_multiple(self, tz_aware_fixture):
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tz = tz_aware_fixture
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# GH#14621, GH#7825
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# replacing datetime components with and w/o presence of a timezone
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# test all
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ts = Timestamp("2016-01-01 09:00:00.000000123", tz=tz)
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result = ts.replace(
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year=2015,
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month=2,
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day=2,
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hour=0,
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minute=5,
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second=5,
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microsecond=5,
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nanosecond=5,
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)
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expected = Timestamp("2015-02-02 00:05:05.000005005", tz=tz)
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assert result == expected
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def test_replace_invalid_kwarg(self, tz_aware_fixture):
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tz = tz_aware_fixture
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# GH#14621, GH#7825
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ts = Timestamp("2016-01-01 09:00:00.000000123", tz=tz)
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msg = r"replace\(\) got an unexpected keyword argument"
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with pytest.raises(TypeError, match=msg):
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ts.replace(foo=5)
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def test_replace_integer_args(self, tz_aware_fixture):
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tz = tz_aware_fixture
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# GH#14621, GH#7825
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ts = Timestamp("2016-01-01 09:00:00.000000123", tz=tz)
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msg = "value must be an integer, received <class 'float'> for hour"
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with pytest.raises(ValueError, match=msg):
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ts.replace(hour=0.1)
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def test_replace_tzinfo_equiv_tz_localize_none(self):
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# GH#14621, GH#7825
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# assert conversion to naive is the same as replacing tzinfo with None
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ts = Timestamp("2013-11-03 01:59:59.999999-0400", tz="US/Eastern")
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assert ts.tz_localize(None) == ts.replace(tzinfo=None)
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@td.skip_if_windows
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def test_replace_tzinfo(self):
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# GH#15683
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dt = datetime(2016, 3, 27, 1)
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tzinfo = pytz.timezone("CET").localize(dt, is_dst=False).tzinfo
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result_dt = dt.replace(tzinfo=tzinfo)
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result_pd = Timestamp(dt).replace(tzinfo=tzinfo)
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# datetime.timestamp() converts in the local timezone
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with tm.set_timezone("UTC"):
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assert result_dt.timestamp() == result_pd.timestamp()
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assert result_dt == result_pd
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assert result_dt == result_pd.to_pydatetime()
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result_dt = dt.replace(tzinfo=tzinfo).replace(tzinfo=None)
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result_pd = Timestamp(dt).replace(tzinfo=tzinfo).replace(tzinfo=None)
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# datetime.timestamp() converts in the local timezone
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with tm.set_timezone("UTC"):
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assert result_dt.timestamp() == result_pd.timestamp()
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assert result_dt == result_pd
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assert result_dt == result_pd.to_pydatetime()
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@pytest.mark.parametrize(
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"tz, normalize",
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[
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(pytz.timezone("US/Eastern"), lambda x: x.tzinfo.normalize(x)),
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(gettz("US/Eastern"), lambda x: x),
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],
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)
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def test_replace_across_dst(self, tz, normalize):
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# GH#18319 check that 1) timezone is correctly normalized and
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# 2) that hour is not incorrectly changed by this normalization
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ts_naive = Timestamp("2017-12-03 16:03:30")
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ts_aware = conversion.localize_pydatetime(ts_naive, tz)
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# Preliminary sanity-check
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assert ts_aware == normalize(ts_aware)
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# Replace across DST boundary
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ts2 = ts_aware.replace(month=6)
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# Check that `replace` preserves hour literal
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assert (ts2.hour, ts2.minute) == (ts_aware.hour, ts_aware.minute)
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# Check that post-replace object is appropriately normalized
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ts2b = normalize(ts2)
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assert ts2 == ts2b
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@pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
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def test_replace_dst_border(self, unit):
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# Gh 7825
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t = Timestamp("2013-11-3", tz="America/Chicago").as_unit(unit)
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result = t.replace(hour=3)
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expected = Timestamp("2013-11-3 03:00:00", tz="America/Chicago")
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assert result == expected
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assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
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@pytest.mark.parametrize("fold", [0, 1])
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@pytest.mark.parametrize("tz", ["dateutil/Europe/London", "Europe/London"])
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@pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
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def test_replace_dst_fold(self, fold, tz, unit):
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# GH 25017
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d = datetime(2019, 10, 27, 2, 30)
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ts = Timestamp(d, tz=tz).as_unit(unit)
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result = ts.replace(hour=1, fold=fold)
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expected = Timestamp(datetime(2019, 10, 27, 1, 30)).tz_localize(
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tz, ambiguous=not fold
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)
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assert result == expected
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assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
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@pytest.mark.parametrize("fold", [0, 1])
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def test_replace_preserves_fold(self, fold):
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# GH#37610. Check that replace preserves Timestamp fold property
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tz = gettz("Europe/Moscow")
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ts = Timestamp(
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year=2009, month=10, day=25, hour=2, minute=30, fold=fold, tzinfo=tz
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)
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ts_replaced = ts.replace(second=1)
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assert ts_replaced.fold == fold
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@ -0,0 +1,383 @@
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from hypothesis import (
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given,
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strategies as st,
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)
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import numpy as np
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import pytest
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import pytz
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from pandas._libs import lib
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from pandas._libs.tslibs import (
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NaT,
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OutOfBoundsDatetime,
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Timedelta,
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Timestamp,
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iNaT,
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to_offset,
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)
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from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
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from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
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import pandas._testing as tm
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class TestTimestampRound:
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def test_round_division_by_zero_raises(self):
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ts = Timestamp("2016-01-01")
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msg = "Division by zero in rounding"
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with pytest.raises(ValueError, match=msg):
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ts.round("0ns")
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@pytest.mark.parametrize(
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"timestamp, freq, expected",
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[
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("20130101 09:10:11", "D", "20130101"),
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("20130101 19:10:11", "D", "20130102"),
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("20130201 12:00:00", "D", "20130202"),
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("20130104 12:00:00", "D", "20130105"),
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("2000-01-05 05:09:15.13", "D", "2000-01-05 00:00:00"),
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("2000-01-05 05:09:15.13", "h", "2000-01-05 05:00:00"),
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("2000-01-05 05:09:15.13", "s", "2000-01-05 05:09:15"),
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],
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)
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def test_round_frequencies(self, timestamp, freq, expected):
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dt = Timestamp(timestamp)
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result = dt.round(freq)
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expected = Timestamp(expected)
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assert result == expected
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def test_round_tzaware(self):
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dt = Timestamp("20130101 09:10:11", tz="US/Eastern")
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result = dt.round("D")
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expected = Timestamp("20130101", tz="US/Eastern")
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assert result == expected
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dt = Timestamp("20130101 09:10:11", tz="US/Eastern")
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result = dt.round("s")
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assert result == dt
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def test_round_30min(self):
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# round
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dt = Timestamp("20130104 12:32:00")
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result = dt.round("30Min")
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expected = Timestamp("20130104 12:30:00")
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assert result == expected
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def test_round_subsecond(self):
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# GH#14440 & GH#15578
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result = Timestamp("2016-10-17 12:00:00.0015").round("ms")
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expected = Timestamp("2016-10-17 12:00:00.002000")
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assert result == expected
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result = Timestamp("2016-10-17 12:00:00.00149").round("ms")
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expected = Timestamp("2016-10-17 12:00:00.001000")
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assert result == expected
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ts = Timestamp("2016-10-17 12:00:00.0015")
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for freq in ["us", "ns"]:
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assert ts == ts.round(freq)
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result = Timestamp("2016-10-17 12:00:00.001501031").round("10ns")
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expected = Timestamp("2016-10-17 12:00:00.001501030")
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assert result == expected
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def test_round_nonstandard_freq(self):
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with tm.assert_produces_warning(False):
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Timestamp("2016-10-17 12:00:00.001501031").round("1010ns")
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def test_round_invalid_arg(self):
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stamp = Timestamp("2000-01-05 05:09:15.13")
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with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG):
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stamp.round("foo")
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@pytest.mark.parametrize(
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"test_input, rounder, freq, expected",
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[
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("2117-01-01 00:00:45", "floor", "15s", "2117-01-01 00:00:45"),
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("2117-01-01 00:00:45", "ceil", "15s", "2117-01-01 00:00:45"),
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(
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"2117-01-01 00:00:45.000000012",
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"floor",
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"10ns",
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"2117-01-01 00:00:45.000000010",
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),
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(
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"1823-01-01 00:00:01.000000012",
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"ceil",
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"10ns",
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"1823-01-01 00:00:01.000000020",
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),
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("1823-01-01 00:00:01", "floor", "1s", "1823-01-01 00:00:01"),
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("1823-01-01 00:00:01", "ceil", "1s", "1823-01-01 00:00:01"),
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("NaT", "floor", "1s", "NaT"),
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("NaT", "ceil", "1s", "NaT"),
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],
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)
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def test_ceil_floor_edge(self, test_input, rounder, freq, expected):
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dt = Timestamp(test_input)
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func = getattr(dt, rounder)
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result = func(freq)
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if dt is NaT:
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assert result is NaT
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else:
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expected = Timestamp(expected)
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assert result == expected
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@pytest.mark.parametrize(
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"test_input, freq, expected",
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[
|
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("2018-01-01 00:02:06", "2s", "2018-01-01 00:02:06"),
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("2018-01-01 00:02:00", "2min", "2018-01-01 00:02:00"),
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("2018-01-01 00:04:00", "4min", "2018-01-01 00:04:00"),
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("2018-01-01 00:15:00", "15min", "2018-01-01 00:15:00"),
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("2018-01-01 00:20:00", "20min", "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
|
||||
|
||||
@pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
|
||||
def test_ceil(self, unit):
|
||||
dt = Timestamp("20130101 09:10:11").as_unit(unit)
|
||||
result = dt.ceil("D")
|
||||
expected = Timestamp("20130102")
|
||||
assert result == expected
|
||||
assert result._creso == dt._creso
|
||||
|
||||
@pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
|
||||
def test_floor(self, unit):
|
||||
dt = Timestamp("20130101 09:10:11").as_unit(unit)
|
||||
result = dt.floor("D")
|
||||
expected = Timestamp("20130101")
|
||||
assert result == expected
|
||||
assert result._creso == dt._creso
|
||||
|
||||
@pytest.mark.parametrize("method", ["ceil", "round", "floor"])
|
||||
@pytest.mark.parametrize(
|
||||
"unit",
|
||||
["ns", "us", "ms", "s"],
|
||||
)
|
||||
def test_round_dst_border_ambiguous(self, method, unit):
|
||||
# GH 18946 round near "fall back" DST
|
||||
ts = Timestamp("2017-10-29 00:00:00", tz="UTC").tz_convert("Europe/Madrid")
|
||||
ts = ts.as_unit(unit)
|
||||
#
|
||||
result = getattr(ts, method)("h", ambiguous=True)
|
||||
assert result == ts
|
||||
assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
|
||||
|
||||
result = getattr(ts, method)("h", ambiguous=False)
|
||||
expected = Timestamp("2017-10-29 01:00:00", tz="UTC").tz_convert(
|
||||
"Europe/Madrid"
|
||||
)
|
||||
assert result == expected
|
||||
assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
|
||||
|
||||
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"],
|
||||
],
|
||||
)
|
||||
@pytest.mark.parametrize(
|
||||
"unit",
|
||||
["ns", "us", "ms", "s"],
|
||||
)
|
||||
def test_round_dst_border_nonexistent(self, method, ts_str, freq, unit):
|
||||
# GH 23324 round near "spring forward" DST
|
||||
ts = Timestamp(ts_str, tz="America/Chicago").as_unit(unit)
|
||||
result = getattr(ts, method)(freq, nonexistent="shift_forward")
|
||||
expected = Timestamp("2018-03-11 03:00:00", tz="America/Chicago")
|
||||
assert result == expected
|
||||
assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
|
||||
|
||||
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).as_unit("ns")
|
||||
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
|
||||
|
||||
msg = "Cannot round 1677-09-21 00:12:43.145224193 to freq=<Second>"
|
||||
with pytest.raises(OutOfBoundsDatetime, match=msg):
|
||||
Timestamp.min.floor("s")
|
||||
|
||||
with pytest.raises(OutOfBoundsDatetime, match=msg):
|
||||
Timestamp.min.round("s")
|
||||
|
||||
msg = "Cannot round 2262-04-11 23:47:16.854775807 to freq=<Second>"
|
||||
with pytest.raises(OutOfBoundsDatetime, match=msg):
|
||||
Timestamp.max.ceil("s")
|
||||
|
||||
with pytest.raises(OutOfBoundsDatetime, match=msg):
|
||||
Timestamp.max.round("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):
|
||||
cls = Timestamp
|
||||
err_cls = OutOfBoundsDatetime
|
||||
|
||||
val = np.int64(val)
|
||||
ts = cls(val)
|
||||
|
||||
def checker(ts, nanos, unit):
|
||||
# First check that we do raise in cases where we should
|
||||
if nanos == 1:
|
||||
pass
|
||||
else:
|
||||
div, mod = divmod(ts._value, nanos)
|
||||
diff = int(nanos - mod)
|
||||
lb = ts._value - mod
|
||||
assert lb <= ts._value # i.e. no overflows with python ints
|
||||
ub = ts._value + diff
|
||||
assert ub > ts._value # i.e. no overflows with python ints
|
||||
|
||||
msg = "without overflow"
|
||||
if mod == 0:
|
||||
# We should never be raising in this
|
||||
pass
|
||||
elif method is cls.ceil:
|
||||
if ub > cls.max._value:
|
||||
with pytest.raises(err_cls, match=msg):
|
||||
method(ts, unit)
|
||||
return
|
||||
elif method is cls.floor:
|
||||
if lb < cls.min._value:
|
||||
with pytest.raises(err_cls, match=msg):
|
||||
method(ts, unit)
|
||||
return
|
||||
elif mod >= diff:
|
||||
if ub > cls.max._value:
|
||||
with pytest.raises(err_cls, match=msg):
|
||||
method(ts, unit)
|
||||
return
|
||||
elif lb < cls.min._value:
|
||||
with pytest.raises(err_cls, match=msg):
|
||||
method(ts, unit)
|
||||
return
|
||||
|
||||
res = method(ts, unit)
|
||||
|
||||
td = res - ts
|
||||
diff = abs(td._value)
|
||||
assert diff < nanos
|
||||
assert res._value % nanos == 0
|
||||
|
||||
if method is cls.round:
|
||||
assert diff <= nanos / 2
|
||||
elif method is cls.floor:
|
||||
assert res <= ts
|
||||
elif method is cls.ceil:
|
||||
assert res >= ts
|
||||
|
||||
nanos = 1
|
||||
checker(ts, nanos, "ns")
|
||||
|
||||
nanos = 1000
|
||||
checker(ts, nanos, "us")
|
||||
|
||||
nanos = 1_000_000
|
||||
checker(ts, nanos, "ms")
|
||||
|
||||
nanos = 1_000_000_000
|
||||
checker(ts, nanos, "s")
|
||||
|
||||
nanos = 60 * 1_000_000_000
|
||||
checker(ts, nanos, "min")
|
||||
|
||||
nanos = 60 * 60 * 1_000_000_000
|
||||
checker(ts, nanos, "h")
|
||||
|
||||
nanos = 24 * 60 * 60 * 1_000_000_000
|
||||
checker(ts, nanos, "D")
|
||||
@ -0,0 +1,31 @@
|
||||
# NB: This is for the Timestamp.timestamp *method* specifically, not
|
||||
# the Timestamp class in general.
|
||||
|
||||
from pytz import utc
|
||||
|
||||
from pandas._libs.tslibs import Timestamp
|
||||
import pandas.util._test_decorators as td
|
||||
|
||||
import pandas._testing as tm
|
||||
|
||||
|
||||
class TestTimestampMethod:
|
||||
@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()
|
||||
@ -0,0 +1,28 @@
|
||||
from pandas import Timestamp
|
||||
|
||||
|
||||
class TestTimestampToJulianDate:
|
||||
def test_compare_1700(self):
|
||||
ts = Timestamp("1700-06-23")
|
||||
res = ts.to_julian_date()
|
||||
assert res == 2_342_145.5
|
||||
|
||||
def test_compare_2000(self):
|
||||
ts = Timestamp("2000-04-12")
|
||||
res = ts.to_julian_date()
|
||||
assert res == 2_451_646.5
|
||||
|
||||
def test_compare_2100(self):
|
||||
ts = Timestamp("2100-08-12")
|
||||
res = ts.to_julian_date()
|
||||
assert res == 2_488_292.5
|
||||
|
||||
def test_compare_hour01(self):
|
||||
ts = Timestamp("2000-08-12T01:00:00")
|
||||
res = ts.to_julian_date()
|
||||
assert res == 2_451_768.5416666666666666
|
||||
|
||||
def test_compare_hour13(self):
|
||||
ts = Timestamp("2000-08-12T13:00:00")
|
||||
res = ts.to_julian_date()
|
||||
assert res == 2_451_769.0416666666666666
|
||||
@ -0,0 +1,81 @@
|
||||
from datetime import (
|
||||
datetime,
|
||||
timedelta,
|
||||
)
|
||||
|
||||
import pytz
|
||||
|
||||
from pandas._libs.tslibs.timezones import dateutil_gettz as gettz
|
||||
import pandas.util._test_decorators as td
|
||||
|
||||
from pandas import Timestamp
|
||||
import pandas._testing as tm
|
||||
|
||||
|
||||
class TestTimestampToPyDatetime:
|
||||
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_pydatetime_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_pydatetime_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_pydatetime_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_pydatetime_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).as_unit("ns")._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).as_unit("ns")._value / 1000
|
||||
== Timestamp.min._value / 1000
|
||||
)
|
||||
@ -0,0 +1,51 @@
|
||||
import dateutil
|
||||
import pytest
|
||||
|
||||
from pandas._libs.tslibs import timezones
|
||||
import pandas.util._test_decorators as td
|
||||
|
||||
from pandas import Timestamp
|
||||
|
||||
|
||||
class TestTimestampTZConvert:
|
||||
@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)
|
||||
|
||||
@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)
|
||||
|
||||
@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())
|
||||
@ -0,0 +1,351 @@
|
||||
from datetime import timedelta
|
||||
import re
|
||||
|
||||
from dateutil.tz import gettz
|
||||
import pytest
|
||||
import pytz
|
||||
from pytz.exceptions import (
|
||||
AmbiguousTimeError,
|
||||
NonExistentTimeError,
|
||||
)
|
||||
|
||||
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
|
||||
from pandas.errors import OutOfBoundsDatetime
|
||||
|
||||
from pandas import (
|
||||
NaT,
|
||||
Timestamp,
|
||||
)
|
||||
|
||||
try:
|
||||
from zoneinfo import ZoneInfo
|
||||
except ImportError:
|
||||
# Cannot assign to a type
|
||||
ZoneInfo = None # type: ignore[misc, assignment]
|
||||
|
||||
|
||||
class TestTimestampTZLocalize:
|
||||
@pytest.mark.skip_ubsan
|
||||
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")
|
||||
|
||||
@pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
|
||||
def test_tz_localize_ambiguous_bool(self, unit):
|
||||
# make sure that we are correctly accepting bool values as ambiguous
|
||||
# GH#14402
|
||||
ts = Timestamp("2015-11-01 01:00:03").as_unit(unit)
|
||||
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")
|
||||
|
||||
with pytest.raises(pytz.AmbiguousTimeError, match=msg):
|
||||
ts.tz_localize("dateutil/US/Central")
|
||||
|
||||
if ZoneInfo is not None:
|
||||
try:
|
||||
tz = ZoneInfo("US/Central")
|
||||
except KeyError:
|
||||
# no tzdata
|
||||
pass
|
||||
else:
|
||||
with pytest.raises(pytz.AmbiguousTimeError, match=msg):
|
||||
ts.tz_localize(tz)
|
||||
|
||||
result = ts.tz_localize("US/Central", ambiguous=True)
|
||||
assert result == expected0
|
||||
assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
|
||||
|
||||
result = ts.tz_localize("US/Central", ambiguous=False)
|
||||
assert result == expected1
|
||||
assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
|
||||
|
||||
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 == 3600
|
||||
msg = re.escape(
|
||||
"'ambiguous' parameter must be one of: "
|
||||
"True, False, 'NaT', 'raise' (default)"
|
||||
)
|
||||
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
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"stamp, tz, forward_expected, backward_expected",
|
||||
[
|
||||
(
|
||||
"2015-03-29 02:00:00",
|
||||
"Europe/Warsaw",
|
||||
"2015-03-29 03:00:00",
|
||||
"2015-03-29 01:59:59",
|
||||
), # utc+1 -> utc+2
|
||||
(
|
||||
"2023-03-12 02:00:00",
|
||||
"America/Los_Angeles",
|
||||
"2023-03-12 03:00:00",
|
||||
"2023-03-12 01:59:59",
|
||||
), # utc-8 -> utc-7
|
||||
(
|
||||
"2023-03-26 01:00:00",
|
||||
"Europe/London",
|
||||
"2023-03-26 02:00:00",
|
||||
"2023-03-26 00:59:59",
|
||||
), # utc+0 -> utc+1
|
||||
(
|
||||
"2023-03-26 00:00:00",
|
||||
"Atlantic/Azores",
|
||||
"2023-03-26 01:00:00",
|
||||
"2023-03-25 23:59:59",
|
||||
), # utc-1 -> utc+0
|
||||
],
|
||||
)
|
||||
def test_tz_localize_nonexistent_shift(
|
||||
self, stamp, tz, forward_expected, backward_expected
|
||||
):
|
||||
ts = Timestamp(stamp)
|
||||
forward_ts = ts.tz_localize(tz, nonexistent="shift_forward")
|
||||
assert forward_ts == Timestamp(forward_expected, tz=tz)
|
||||
backward_ts = ts.tz_localize(tz, nonexistent="shift_backward")
|
||||
assert backward_ts == Timestamp(backward_expected, tz=tz)
|
||||
|
||||
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, warsaw):
|
||||
# GH 22644
|
||||
tz = 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=False)
|
||||
result_dateutil = naive.tz_localize(dateutil_zone, ambiguous=False)
|
||||
assert result_pytz._value == result_dateutil._value
|
||||
assert result_pytz._value == 1382835600
|
||||
|
||||
# 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=True)
|
||||
result_dateutil = naive.tz_localize(dateutil_zone, ambiguous=True)
|
||||
assert result_pytz._value == result_dateutil._value
|
||||
assert result_pytz._value == 1382832000
|
||||
|
||||
# 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/"])
|
||||
@pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
|
||||
def test_timestamp_tz_localize_nonexistent_shift(
|
||||
self, start_ts, tz, end_ts, shift, tz_type, unit
|
||||
):
|
||||
# GH 8917, 24466
|
||||
tz = tz_type + tz
|
||||
if isinstance(shift, str):
|
||||
shift = "shift_" + shift
|
||||
ts = Timestamp(start_ts).as_unit(unit)
|
||||
result = ts.tz_localize(tz, nonexistent=shift)
|
||||
expected = Timestamp(end_ts).tz_localize(tz)
|
||||
|
||||
if unit == "us":
|
||||
assert result == expected.replace(nanosecond=0)
|
||||
elif unit == "ms":
|
||||
micros = expected.microsecond - expected.microsecond % 1000
|
||||
assert result == expected.replace(microsecond=micros, nanosecond=0)
|
||||
elif unit == "s":
|
||||
assert result == expected.replace(microsecond=0, nanosecond=0)
|
||||
else:
|
||||
assert result == expected
|
||||
assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
|
||||
|
||||
@pytest.mark.parametrize("offset", [-1, 1])
|
||||
def test_timestamp_tz_localize_nonexistent_shift_invalid(self, offset, warsaw):
|
||||
# GH 8917, 24466
|
||||
tz = 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("unit", ["ns", "us", "ms", "s"])
|
||||
def test_timestamp_tz_localize_nonexistent_NaT(self, warsaw, unit):
|
||||
# GH 8917
|
||||
tz = warsaw
|
||||
ts = Timestamp("2015-03-29 02:20:00").as_unit(unit)
|
||||
result = ts.tz_localize(tz, nonexistent="NaT")
|
||||
assert result is NaT
|
||||
|
||||
@pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
|
||||
def test_timestamp_tz_localize_nonexistent_raise(self, warsaw, unit):
|
||||
# GH 8917
|
||||
tz = warsaw
|
||||
ts = Timestamp("2015-03-29 02:20:00").as_unit(unit)
|
||||
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")
|
||||
Reference in New Issue
Block a user