1146 lines
40 KiB
Python
1146 lines
40 KiB
Python
from datetime import datetime, timedelta, timezone
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from functools import partial
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from operator import attrgetter
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import dateutil
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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 OutOfBoundsDatetime, conversion
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import pandas as pd
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from pandas import DatetimeIndex, Index, Timestamp, date_range, offsets, to_datetime
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import pandas._testing as tm
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from pandas.core.arrays import DatetimeArray, period_array
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class TestDatetimeIndex:
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@pytest.mark.parametrize(
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"dt_cls", [DatetimeIndex, DatetimeArray._from_sequence_not_strict]
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)
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def test_freq_validation_with_nat(self, dt_cls):
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# GH#11587 make sure we get a useful error message when generate_range
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# raises
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msg = (
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"Inferred frequency None from passed values does not conform "
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"to passed frequency D"
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)
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with pytest.raises(ValueError, match=msg):
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dt_cls([pd.NaT, Timestamp("2011-01-01")], freq="D")
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with pytest.raises(ValueError, match=msg):
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dt_cls([pd.NaT, Timestamp("2011-01-01").value], freq="D")
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# TODO: better place for tests shared by DTI/TDI?
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@pytest.mark.parametrize(
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"index",
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[
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date_range("2016-01-01", periods=5, tz="US/Pacific"),
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pd.timedelta_range("1 Day", periods=5),
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],
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)
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def test_shallow_copy_inherits_array_freq(self, index):
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# If we pass a DTA/TDA to shallow_copy and dont specify a freq,
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# we should inherit the array's freq, not our own.
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array = index._data
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arr = array[[0, 3, 2, 4, 1]]
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assert arr.freq is None
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result = index._shallow_copy(arr)
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assert result.freq is None
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def test_categorical_preserves_tz(self):
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# GH#18664 retain tz when going DTI-->Categorical-->DTI
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# TODO: parametrize over DatetimeIndex/DatetimeArray
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# once pd.CategoricalIndex(DTA) works
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dti = DatetimeIndex(
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[pd.NaT, "2015-01-01", "1999-04-06 15:14:13", "2015-01-01"], tz="US/Eastern"
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)
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ci = pd.CategoricalIndex(dti)
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carr = pd.Categorical(dti)
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cser = pd.Series(ci)
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for obj in [ci, carr, cser]:
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result = DatetimeIndex(obj)
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tm.assert_index_equal(result, dti)
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def test_dti_with_period_data_raises(self):
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# GH#23675
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data = pd.PeriodIndex(["2016Q1", "2016Q2"], freq="Q")
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with pytest.raises(TypeError, match="PeriodDtype data is invalid"):
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DatetimeIndex(data)
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with pytest.raises(TypeError, match="PeriodDtype data is invalid"):
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to_datetime(data)
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with pytest.raises(TypeError, match="PeriodDtype data is invalid"):
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DatetimeIndex(period_array(data))
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with pytest.raises(TypeError, match="PeriodDtype data is invalid"):
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to_datetime(period_array(data))
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def test_dti_with_timedelta64_data_raises(self):
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# GH#23675 deprecated, enforrced in GH#29794
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data = np.array([0], dtype="m8[ns]")
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msg = r"timedelta64\[ns\] cannot be converted to datetime64"
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with pytest.raises(TypeError, match=msg):
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DatetimeIndex(data)
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with pytest.raises(TypeError, match=msg):
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to_datetime(data)
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with pytest.raises(TypeError, match=msg):
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DatetimeIndex(pd.TimedeltaIndex(data))
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with pytest.raises(TypeError, match=msg):
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to_datetime(pd.TimedeltaIndex(data))
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def test_constructor_from_sparse_array(self):
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# https://github.com/pandas-dev/pandas/issues/35843
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values = [
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Timestamp("2012-05-01T01:00:00.000000"),
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Timestamp("2016-05-01T01:00:00.000000"),
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]
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arr = pd.arrays.SparseArray(values)
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result = Index(arr)
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expected = DatetimeIndex(values)
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tm.assert_index_equal(result, expected)
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def test_construction_caching(self):
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df = pd.DataFrame(
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{
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"dt": date_range("20130101", periods=3),
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"dttz": date_range("20130101", periods=3, tz="US/Eastern"),
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"dt_with_null": [
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Timestamp("20130101"),
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pd.NaT,
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Timestamp("20130103"),
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],
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"dtns": date_range("20130101", periods=3, freq="ns"),
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}
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)
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assert df.dttz.dtype.tz.zone == "US/Eastern"
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@pytest.mark.parametrize(
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"kwargs",
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[{"tz": "dtype.tz"}, {"dtype": "dtype"}, {"dtype": "dtype", "tz": "dtype.tz"}],
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)
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def test_construction_with_alt(self, kwargs, tz_aware_fixture):
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tz = tz_aware_fixture
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i = date_range("20130101", periods=5, freq="H", tz=tz)
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kwargs = {key: attrgetter(val)(i) for key, val in kwargs.items()}
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result = DatetimeIndex(i, **kwargs)
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tm.assert_index_equal(i, result)
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@pytest.mark.parametrize(
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"kwargs",
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[{"tz": "dtype.tz"}, {"dtype": "dtype"}, {"dtype": "dtype", "tz": "dtype.tz"}],
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)
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def test_construction_with_alt_tz_localize(self, kwargs, tz_aware_fixture):
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tz = tz_aware_fixture
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i = date_range("20130101", periods=5, freq="H", tz=tz)
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i = i._with_freq(None)
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kwargs = {key: attrgetter(val)(i) for key, val in kwargs.items()}
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if "tz" in kwargs:
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result = DatetimeIndex(i.asi8, tz="UTC").tz_convert(kwargs["tz"])
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expected = DatetimeIndex(i, **kwargs)
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tm.assert_index_equal(result, expected)
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# localize into the provided tz
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i2 = DatetimeIndex(i.tz_localize(None).asi8, tz="UTC")
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expected = i.tz_localize(None).tz_localize("UTC")
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tm.assert_index_equal(i2, expected)
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# incompat tz/dtype
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msg = "cannot supply both a tz and a dtype with a tz"
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with pytest.raises(ValueError, match=msg):
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DatetimeIndex(i.tz_localize(None).asi8, dtype=i.dtype, tz="US/Pacific")
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def test_construction_index_with_mixed_timezones(self):
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# gh-11488: no tz results in DatetimeIndex
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result = Index([Timestamp("2011-01-01"), Timestamp("2011-01-02")], name="idx")
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exp = DatetimeIndex(
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[Timestamp("2011-01-01"), Timestamp("2011-01-02")], name="idx"
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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assert result.tz is None
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# same tz results in DatetimeIndex
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result = Index(
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[
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Timestamp("2011-01-01 10:00", tz="Asia/Tokyo"),
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Timestamp("2011-01-02 10:00", tz="Asia/Tokyo"),
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],
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name="idx",
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)
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exp = DatetimeIndex(
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[Timestamp("2011-01-01 10:00"), Timestamp("2011-01-02 10:00")],
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tz="Asia/Tokyo",
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name="idx",
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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assert result.tz is not None
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assert result.tz == exp.tz
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# same tz results in DatetimeIndex (DST)
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result = Index(
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[
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Timestamp("2011-01-01 10:00", tz="US/Eastern"),
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Timestamp("2011-08-01 10:00", tz="US/Eastern"),
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],
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name="idx",
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)
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exp = DatetimeIndex(
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[Timestamp("2011-01-01 10:00"), Timestamp("2011-08-01 10:00")],
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tz="US/Eastern",
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name="idx",
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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assert result.tz is not None
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assert result.tz == exp.tz
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# Different tz results in Index(dtype=object)
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result = Index(
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[
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Timestamp("2011-01-01 10:00"),
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Timestamp("2011-01-02 10:00", tz="US/Eastern"),
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],
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name="idx",
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)
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exp = Index(
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[
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Timestamp("2011-01-01 10:00"),
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Timestamp("2011-01-02 10:00", tz="US/Eastern"),
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],
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dtype="object",
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name="idx",
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert not isinstance(result, DatetimeIndex)
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result = Index(
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[
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Timestamp("2011-01-01 10:00", tz="Asia/Tokyo"),
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Timestamp("2011-01-02 10:00", tz="US/Eastern"),
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],
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name="idx",
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)
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exp = Index(
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[
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Timestamp("2011-01-01 10:00", tz="Asia/Tokyo"),
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Timestamp("2011-01-02 10:00", tz="US/Eastern"),
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],
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dtype="object",
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name="idx",
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert not isinstance(result, DatetimeIndex)
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# length = 1
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result = Index([Timestamp("2011-01-01")], name="idx")
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exp = DatetimeIndex([Timestamp("2011-01-01")], name="idx")
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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assert result.tz is None
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# length = 1 with tz
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result = Index([Timestamp("2011-01-01 10:00", tz="Asia/Tokyo")], name="idx")
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exp = DatetimeIndex(
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[Timestamp("2011-01-01 10:00")], tz="Asia/Tokyo", name="idx"
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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assert result.tz is not None
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assert result.tz == exp.tz
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def test_construction_index_with_mixed_timezones_with_NaT(self):
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# see gh-11488
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result = Index(
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[pd.NaT, Timestamp("2011-01-01"), pd.NaT, Timestamp("2011-01-02")],
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name="idx",
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)
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exp = DatetimeIndex(
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[pd.NaT, Timestamp("2011-01-01"), pd.NaT, Timestamp("2011-01-02")],
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name="idx",
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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assert result.tz is None
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# Same tz results in DatetimeIndex
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result = Index(
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[
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pd.NaT,
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Timestamp("2011-01-01 10:00", tz="Asia/Tokyo"),
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pd.NaT,
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Timestamp("2011-01-02 10:00", tz="Asia/Tokyo"),
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],
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name="idx",
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)
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exp = DatetimeIndex(
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[
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pd.NaT,
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Timestamp("2011-01-01 10:00"),
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pd.NaT,
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Timestamp("2011-01-02 10:00"),
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],
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tz="Asia/Tokyo",
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name="idx",
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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assert result.tz is not None
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assert result.tz == exp.tz
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# same tz results in DatetimeIndex (DST)
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result = Index(
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[
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Timestamp("2011-01-01 10:00", tz="US/Eastern"),
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pd.NaT,
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Timestamp("2011-08-01 10:00", tz="US/Eastern"),
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],
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name="idx",
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)
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exp = DatetimeIndex(
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[Timestamp("2011-01-01 10:00"), pd.NaT, Timestamp("2011-08-01 10:00")],
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tz="US/Eastern",
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name="idx",
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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assert result.tz is not None
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assert result.tz == exp.tz
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# different tz results in Index(dtype=object)
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result = Index(
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[
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pd.NaT,
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Timestamp("2011-01-01 10:00"),
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pd.NaT,
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Timestamp("2011-01-02 10:00", tz="US/Eastern"),
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],
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name="idx",
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)
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exp = Index(
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[
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pd.NaT,
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Timestamp("2011-01-01 10:00"),
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pd.NaT,
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Timestamp("2011-01-02 10:00", tz="US/Eastern"),
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],
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dtype="object",
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name="idx",
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert not isinstance(result, DatetimeIndex)
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result = Index(
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[
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pd.NaT,
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Timestamp("2011-01-01 10:00", tz="Asia/Tokyo"),
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pd.NaT,
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Timestamp("2011-01-02 10:00", tz="US/Eastern"),
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],
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name="idx",
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)
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exp = Index(
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[
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pd.NaT,
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Timestamp("2011-01-01 10:00", tz="Asia/Tokyo"),
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pd.NaT,
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Timestamp("2011-01-02 10:00", tz="US/Eastern"),
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],
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dtype="object",
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name="idx",
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert not isinstance(result, DatetimeIndex)
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# all NaT
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result = Index([pd.NaT, pd.NaT], name="idx")
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exp = DatetimeIndex([pd.NaT, pd.NaT], name="idx")
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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assert result.tz is None
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# all NaT with tz
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result = Index([pd.NaT, pd.NaT], tz="Asia/Tokyo", name="idx")
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exp = DatetimeIndex([pd.NaT, pd.NaT], tz="Asia/Tokyo", name="idx")
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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assert result.tz is not None
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assert result.tz == exp.tz
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def test_construction_dti_with_mixed_timezones(self):
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# GH 11488 (not changed, added explicit tests)
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# no tz results in DatetimeIndex
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result = DatetimeIndex(
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[Timestamp("2011-01-01"), Timestamp("2011-01-02")], name="idx"
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)
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exp = DatetimeIndex(
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[Timestamp("2011-01-01"), Timestamp("2011-01-02")], name="idx"
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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# same tz results in DatetimeIndex
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result = DatetimeIndex(
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[
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Timestamp("2011-01-01 10:00", tz="Asia/Tokyo"),
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Timestamp("2011-01-02 10:00", tz="Asia/Tokyo"),
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],
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name="idx",
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)
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exp = DatetimeIndex(
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[Timestamp("2011-01-01 10:00"), Timestamp("2011-01-02 10:00")],
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tz="Asia/Tokyo",
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name="idx",
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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# same tz results in DatetimeIndex (DST)
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result = DatetimeIndex(
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[
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Timestamp("2011-01-01 10:00", tz="US/Eastern"),
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Timestamp("2011-08-01 10:00", tz="US/Eastern"),
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],
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name="idx",
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)
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exp = DatetimeIndex(
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[Timestamp("2011-01-01 10:00"), Timestamp("2011-08-01 10:00")],
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tz="US/Eastern",
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name="idx",
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)
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tm.assert_index_equal(result, exp, exact=True)
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assert isinstance(result, DatetimeIndex)
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# tz mismatch affecting to tz-aware raises TypeError/ValueError
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msg = "cannot be converted to datetime64"
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with pytest.raises(ValueError, match=msg):
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DatetimeIndex(
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[
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Timestamp("2011-01-01 10:00", tz="Asia/Tokyo"),
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Timestamp("2011-01-02 10:00", tz="US/Eastern"),
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],
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name="idx",
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)
|
|
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with pytest.raises(ValueError, match=msg):
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DatetimeIndex(
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[
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Timestamp("2011-01-01 10:00"),
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Timestamp("2011-01-02 10:00", tz="US/Eastern"),
|
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],
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tz="Asia/Tokyo",
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name="idx",
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)
|
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|
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with pytest.raises(ValueError, match=msg):
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DatetimeIndex(
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[
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Timestamp("2011-01-01 10:00", tz="Asia/Tokyo"),
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Timestamp("2011-01-02 10:00", tz="US/Eastern"),
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],
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tz="US/Eastern",
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name="idx",
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)
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with pytest.raises(ValueError, match=msg):
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# passing tz should results in DatetimeIndex, then mismatch raises
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# TypeError
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Index(
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[
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pd.NaT,
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Timestamp("2011-01-01 10:00"),
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pd.NaT,
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Timestamp("2011-01-02 10:00", tz="US/Eastern"),
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],
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tz="Asia/Tokyo",
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name="idx",
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)
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def test_construction_base_constructor(self):
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arr = [Timestamp("2011-01-01"), pd.NaT, Timestamp("2011-01-03")]
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tm.assert_index_equal(Index(arr), DatetimeIndex(arr))
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tm.assert_index_equal(Index(np.array(arr)), DatetimeIndex(np.array(arr)))
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arr = [np.nan, pd.NaT, Timestamp("2011-01-03")]
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tm.assert_index_equal(Index(arr), DatetimeIndex(arr))
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tm.assert_index_equal(Index(np.array(arr)), DatetimeIndex(np.array(arr)))
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|
|
def test_construction_outofbounds(self):
|
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# GH 13663
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dates = [
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datetime(3000, 1, 1),
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datetime(4000, 1, 1),
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datetime(5000, 1, 1),
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datetime(6000, 1, 1),
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]
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exp = Index(dates, dtype=object)
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# coerces to object
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tm.assert_index_equal(Index(dates), exp)
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|
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msg = "Out of bounds nanosecond timestamp"
|
|
with pytest.raises(OutOfBoundsDatetime, match=msg):
|
|
# can't create DatetimeIndex
|
|
DatetimeIndex(dates)
|
|
|
|
def test_construction_with_ndarray(self):
|
|
# GH 5152
|
|
dates = [datetime(2013, 10, 7), datetime(2013, 10, 8), datetime(2013, 10, 9)]
|
|
data = DatetimeIndex(dates, freq=pd.offsets.BDay()).values
|
|
result = DatetimeIndex(data, freq=pd.offsets.BDay())
|
|
expected = DatetimeIndex(["2013-10-07", "2013-10-08", "2013-10-09"], freq="B")
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
def test_integer_values_and_tz_interpreted_as_utc(self):
|
|
# GH-24559
|
|
val = np.datetime64("2000-01-01 00:00:00", "ns")
|
|
values = np.array([val.view("i8")])
|
|
|
|
result = DatetimeIndex(values).tz_localize("US/Central")
|
|
|
|
expected = DatetimeIndex(["2000-01-01T00:00:00"], tz="US/Central")
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
# but UTC is *not* deprecated.
|
|
with tm.assert_produces_warning(None):
|
|
result = DatetimeIndex(values, tz="UTC")
|
|
expected = DatetimeIndex(["2000-01-01T00:00:00"], tz="US/Central")
|
|
|
|
def test_constructor_coverage(self):
|
|
rng = date_range("1/1/2000", periods=10.5)
|
|
exp = date_range("1/1/2000", periods=10)
|
|
tm.assert_index_equal(rng, exp)
|
|
|
|
msg = "periods must be a number, got foo"
|
|
with pytest.raises(TypeError, match=msg):
|
|
date_range(start="1/1/2000", periods="foo", freq="D")
|
|
|
|
msg = "DatetimeIndex\\(\\) must be called with a collection"
|
|
with pytest.raises(TypeError, match=msg):
|
|
DatetimeIndex("1/1/2000")
|
|
|
|
# generator expression
|
|
gen = (datetime(2000, 1, 1) + timedelta(i) for i in range(10))
|
|
result = DatetimeIndex(gen)
|
|
expected = DatetimeIndex(
|
|
[datetime(2000, 1, 1) + timedelta(i) for i in range(10)]
|
|
)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
# NumPy string array
|
|
strings = np.array(["2000-01-01", "2000-01-02", "2000-01-03"])
|
|
result = DatetimeIndex(strings)
|
|
expected = DatetimeIndex(strings.astype("O"))
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
from_ints = DatetimeIndex(expected.asi8)
|
|
tm.assert_index_equal(from_ints, expected)
|
|
|
|
# string with NaT
|
|
strings = np.array(["2000-01-01", "2000-01-02", "NaT"])
|
|
result = DatetimeIndex(strings)
|
|
expected = DatetimeIndex(strings.astype("O"))
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
from_ints = DatetimeIndex(expected.asi8)
|
|
tm.assert_index_equal(from_ints, expected)
|
|
|
|
# non-conforming
|
|
msg = (
|
|
"Inferred frequency None from passed values does not conform "
|
|
"to passed frequency D"
|
|
)
|
|
with pytest.raises(ValueError, match=msg):
|
|
DatetimeIndex(["2000-01-01", "2000-01-02", "2000-01-04"], freq="D")
|
|
|
|
msg = (
|
|
"Of the four parameters: start, end, periods, and freq, exactly "
|
|
"three must be specified"
|
|
)
|
|
with pytest.raises(ValueError, match=msg):
|
|
date_range(start="2011-01-01", freq="b")
|
|
with pytest.raises(ValueError, match=msg):
|
|
date_range(end="2011-01-01", freq="B")
|
|
with pytest.raises(ValueError, match=msg):
|
|
date_range(periods=10, freq="D")
|
|
|
|
@pytest.mark.parametrize("freq", ["AS", "W-SUN"])
|
|
def test_constructor_datetime64_tzformat(self, freq):
|
|
# see GH#6572: ISO 8601 format results in pytz.FixedOffset
|
|
idx = date_range(
|
|
"2013-01-01T00:00:00-05:00", "2016-01-01T23:59:59-05:00", freq=freq
|
|
)
|
|
expected = date_range(
|
|
"2013-01-01T00:00:00",
|
|
"2016-01-01T23:59:59",
|
|
freq=freq,
|
|
tz=pytz.FixedOffset(-300),
|
|
)
|
|
tm.assert_index_equal(idx, expected)
|
|
# Unable to use `US/Eastern` because of DST
|
|
expected_i8 = date_range(
|
|
"2013-01-01T00:00:00", "2016-01-01T23:59:59", freq=freq, tz="America/Lima"
|
|
)
|
|
tm.assert_numpy_array_equal(idx.asi8, expected_i8.asi8)
|
|
|
|
idx = date_range(
|
|
"2013-01-01T00:00:00+09:00", "2016-01-01T23:59:59+09:00", freq=freq
|
|
)
|
|
expected = date_range(
|
|
"2013-01-01T00:00:00",
|
|
"2016-01-01T23:59:59",
|
|
freq=freq,
|
|
tz=pytz.FixedOffset(540),
|
|
)
|
|
tm.assert_index_equal(idx, expected)
|
|
expected_i8 = date_range(
|
|
"2013-01-01T00:00:00", "2016-01-01T23:59:59", freq=freq, tz="Asia/Tokyo"
|
|
)
|
|
tm.assert_numpy_array_equal(idx.asi8, expected_i8.asi8)
|
|
|
|
# Non ISO 8601 format results in dateutil.tz.tzoffset
|
|
idx = date_range("2013/1/1 0:00:00-5:00", "2016/1/1 23:59:59-5:00", freq=freq)
|
|
expected = date_range(
|
|
"2013-01-01T00:00:00",
|
|
"2016-01-01T23:59:59",
|
|
freq=freq,
|
|
tz=pytz.FixedOffset(-300),
|
|
)
|
|
tm.assert_index_equal(idx, expected)
|
|
# Unable to use `US/Eastern` because of DST
|
|
expected_i8 = date_range(
|
|
"2013-01-01T00:00:00", "2016-01-01T23:59:59", freq=freq, tz="America/Lima"
|
|
)
|
|
tm.assert_numpy_array_equal(idx.asi8, expected_i8.asi8)
|
|
|
|
idx = date_range("2013/1/1 0:00:00+9:00", "2016/1/1 23:59:59+09:00", freq=freq)
|
|
expected = date_range(
|
|
"2013-01-01T00:00:00",
|
|
"2016-01-01T23:59:59",
|
|
freq=freq,
|
|
tz=pytz.FixedOffset(540),
|
|
)
|
|
tm.assert_index_equal(idx, expected)
|
|
expected_i8 = date_range(
|
|
"2013-01-01T00:00:00", "2016-01-01T23:59:59", freq=freq, tz="Asia/Tokyo"
|
|
)
|
|
tm.assert_numpy_array_equal(idx.asi8, expected_i8.asi8)
|
|
|
|
def test_constructor_dtype(self):
|
|
|
|
# passing a dtype with a tz should localize
|
|
idx = DatetimeIndex(
|
|
["2013-01-01", "2013-01-02"], dtype="datetime64[ns, US/Eastern]"
|
|
)
|
|
expected = DatetimeIndex(["2013-01-01", "2013-01-02"]).tz_localize("US/Eastern")
|
|
tm.assert_index_equal(idx, expected)
|
|
|
|
idx = DatetimeIndex(["2013-01-01", "2013-01-02"], tz="US/Eastern")
|
|
tm.assert_index_equal(idx, expected)
|
|
|
|
# if we already have a tz and its not the same, then raise
|
|
idx = DatetimeIndex(
|
|
["2013-01-01", "2013-01-02"], dtype="datetime64[ns, US/Eastern]"
|
|
)
|
|
|
|
msg = (
|
|
"cannot supply both a tz and a timezone-naive dtype "
|
|
r"\(i\.e\. datetime64\[ns\]\)"
|
|
)
|
|
with pytest.raises(ValueError, match=msg):
|
|
DatetimeIndex(idx, dtype="datetime64[ns]")
|
|
|
|
# this is effectively trying to convert tz's
|
|
msg = "data is already tz-aware US/Eastern, unable to set specified tz: CET"
|
|
with pytest.raises(TypeError, match=msg):
|
|
DatetimeIndex(idx, dtype="datetime64[ns, CET]")
|
|
msg = "cannot supply both a tz and a dtype with a tz"
|
|
with pytest.raises(ValueError, match=msg):
|
|
DatetimeIndex(idx, tz="CET", dtype="datetime64[ns, US/Eastern]")
|
|
|
|
result = DatetimeIndex(idx, dtype="datetime64[ns, US/Eastern]")
|
|
tm.assert_index_equal(idx, result)
|
|
|
|
@pytest.mark.parametrize("dtype", [object, np.int32, np.int64])
|
|
def test_constructor_invalid_dtype_raises(self, dtype):
|
|
# GH 23986
|
|
msg = "Unexpected value for 'dtype'"
|
|
with pytest.raises(ValueError, match=msg):
|
|
DatetimeIndex([1, 2], dtype=dtype)
|
|
|
|
def test_constructor_name(self):
|
|
idx = date_range(start="2000-01-01", periods=1, freq="A", name="TEST")
|
|
assert idx.name == "TEST"
|
|
|
|
def test_000constructor_resolution(self):
|
|
# 2252
|
|
t1 = Timestamp((1352934390 * 1000000000) + 1000000 + 1000 + 1)
|
|
idx = DatetimeIndex([t1])
|
|
|
|
assert idx.nanosecond[0] == t1.nanosecond
|
|
|
|
def test_disallow_setting_tz(self):
|
|
# GH 3746
|
|
dti = DatetimeIndex(["2010"], tz="UTC")
|
|
msg = "Cannot directly set timezone"
|
|
with pytest.raises(AttributeError, match=msg):
|
|
dti.tz = pytz.timezone("US/Pacific")
|
|
|
|
@pytest.mark.parametrize(
|
|
"tz",
|
|
[
|
|
None,
|
|
"America/Los_Angeles",
|
|
pytz.timezone("America/Los_Angeles"),
|
|
Timestamp("2000", tz="America/Los_Angeles").tz,
|
|
],
|
|
)
|
|
def test_constructor_start_end_with_tz(self, tz):
|
|
# GH 18595
|
|
start = Timestamp("2013-01-01 06:00:00", tz="America/Los_Angeles")
|
|
end = Timestamp("2013-01-02 06:00:00", tz="America/Los_Angeles")
|
|
result = date_range(freq="D", start=start, end=end, tz=tz)
|
|
expected = DatetimeIndex(
|
|
["2013-01-01 06:00:00", "2013-01-02 06:00:00"],
|
|
tz="America/Los_Angeles",
|
|
freq="D",
|
|
)
|
|
tm.assert_index_equal(result, expected)
|
|
# Especially assert that the timezone is consistent for pytz
|
|
assert pytz.timezone("America/Los_Angeles") is result.tz
|
|
|
|
@pytest.mark.parametrize("tz", ["US/Pacific", "US/Eastern", "Asia/Tokyo"])
|
|
def test_constructor_with_non_normalized_pytz(self, tz):
|
|
# GH 18595
|
|
non_norm_tz = Timestamp("2010", tz=tz).tz
|
|
result = DatetimeIndex(["2010"], tz=non_norm_tz)
|
|
assert pytz.timezone(tz) is result.tz
|
|
|
|
def test_constructor_timestamp_near_dst(self):
|
|
# GH 20854
|
|
ts = [
|
|
Timestamp("2016-10-30 03:00:00+0300", tz="Europe/Helsinki"),
|
|
Timestamp("2016-10-30 03:00:00+0200", tz="Europe/Helsinki"),
|
|
]
|
|
result = DatetimeIndex(ts)
|
|
expected = DatetimeIndex([ts[0].to_pydatetime(), ts[1].to_pydatetime()])
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
@pytest.mark.parametrize("klass", [Index, DatetimeIndex])
|
|
@pytest.mark.parametrize("box", [np.array, partial(np.array, dtype=object), list])
|
|
@pytest.mark.parametrize(
|
|
"tz, dtype",
|
|
[("US/Pacific", "datetime64[ns, US/Pacific]"), (None, "datetime64[ns]")],
|
|
)
|
|
def test_constructor_with_int_tz(self, klass, box, tz, dtype):
|
|
# GH 20997, 20964
|
|
ts = Timestamp("2018-01-01", tz=tz)
|
|
result = klass(box([ts.value]), dtype=dtype)
|
|
expected = klass([ts])
|
|
assert result == expected
|
|
|
|
def test_construction_int_rountrip(self, tz_naive_fixture):
|
|
# GH 12619, GH#24559
|
|
tz = tz_naive_fixture
|
|
|
|
result = 1293858000000000000
|
|
expected = DatetimeIndex([result], tz=tz).asi8[0]
|
|
assert result == expected
|
|
|
|
def test_construction_from_replaced_timestamps_with_dst(self):
|
|
# GH 18785
|
|
index = date_range(
|
|
Timestamp(2000, 1, 1),
|
|
Timestamp(2005, 1, 1),
|
|
freq="MS",
|
|
tz="Australia/Melbourne",
|
|
)
|
|
test = pd.DataFrame({"data": range(len(index))}, index=index)
|
|
test = test.resample("Y").mean()
|
|
result = DatetimeIndex([x.replace(month=6, day=1) for x in test.index])
|
|
expected = DatetimeIndex(
|
|
[
|
|
"2000-06-01 00:00:00",
|
|
"2001-06-01 00:00:00",
|
|
"2002-06-01 00:00:00",
|
|
"2003-06-01 00:00:00",
|
|
"2004-06-01 00:00:00",
|
|
"2005-06-01 00:00:00",
|
|
],
|
|
tz="Australia/Melbourne",
|
|
)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
def test_construction_with_tz_and_tz_aware_dti(self):
|
|
# GH 23579
|
|
dti = date_range("2016-01-01", periods=3, tz="US/Central")
|
|
msg = "data is already tz-aware US/Central, unable to set specified tz"
|
|
with pytest.raises(TypeError, match=msg):
|
|
DatetimeIndex(dti, tz="Asia/Tokyo")
|
|
|
|
def test_construction_with_nat_and_tzlocal(self):
|
|
tz = dateutil.tz.tzlocal()
|
|
result = DatetimeIndex(["2018", "NaT"], tz=tz)
|
|
expected = DatetimeIndex([Timestamp("2018", tz=tz), pd.NaT])
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
def test_constructor_with_ambiguous_keyword_arg(self):
|
|
# GH 35297
|
|
|
|
expected = DatetimeIndex(
|
|
["2020-11-01 01:00:00", "2020-11-02 01:00:00"],
|
|
dtype="datetime64[ns, America/New_York]",
|
|
freq="D",
|
|
ambiguous=False,
|
|
)
|
|
|
|
# ambiguous keyword in start
|
|
timezone = "America/New_York"
|
|
start = Timestamp(year=2020, month=11, day=1, hour=1).tz_localize(
|
|
timezone, ambiguous=False
|
|
)
|
|
result = date_range(start=start, periods=2, ambiguous=False)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
# ambiguous keyword in end
|
|
timezone = "America/New_York"
|
|
end = Timestamp(year=2020, month=11, day=2, hour=1).tz_localize(
|
|
timezone, ambiguous=False
|
|
)
|
|
result = date_range(end=end, periods=2, ambiguous=False)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
def test_constructor_with_nonexistent_keyword_arg(self):
|
|
# GH 35297
|
|
|
|
timezone = "Europe/Warsaw"
|
|
|
|
# nonexistent keyword in start
|
|
start = Timestamp("2015-03-29 02:30:00").tz_localize(
|
|
timezone, nonexistent="shift_forward"
|
|
)
|
|
result = date_range(start=start, periods=2, freq="H")
|
|
expected = DatetimeIndex(
|
|
[
|
|
Timestamp("2015-03-29 03:00:00+02:00", tz=timezone),
|
|
Timestamp("2015-03-29 04:00:00+02:00", tz=timezone),
|
|
]
|
|
)
|
|
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
# nonexistent keyword in end
|
|
end = Timestamp("2015-03-29 02:30:00").tz_localize(
|
|
timezone, nonexistent="shift_forward"
|
|
)
|
|
result = date_range(end=end, periods=2, freq="H")
|
|
expected = DatetimeIndex(
|
|
[
|
|
Timestamp("2015-03-29 01:00:00+01:00", tz=timezone),
|
|
Timestamp("2015-03-29 03:00:00+02:00", tz=timezone),
|
|
]
|
|
)
|
|
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
def test_constructor_no_precision_raises(self):
|
|
# GH-24753, GH-24739
|
|
|
|
msg = "with no precision is not allowed"
|
|
with pytest.raises(ValueError, match=msg):
|
|
DatetimeIndex(["2000"], dtype="datetime64")
|
|
|
|
with pytest.raises(ValueError, match=msg):
|
|
Index(["2000"], dtype="datetime64")
|
|
|
|
def test_constructor_wrong_precision_raises(self):
|
|
msg = "Unexpected value for 'dtype': 'datetime64\\[us\\]'"
|
|
with pytest.raises(ValueError, match=msg):
|
|
DatetimeIndex(["2000"], dtype="datetime64[us]")
|
|
|
|
def test_index_constructor_with_numpy_object_array_and_timestamp_tz_with_nan(self):
|
|
# GH 27011
|
|
result = Index(np.array([Timestamp("2019", tz="UTC"), np.nan], dtype=object))
|
|
expected = DatetimeIndex([Timestamp("2019", tz="UTC"), pd.NaT])
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
|
|
class TestTimeSeries:
|
|
def test_dti_constructor_preserve_dti_freq(self):
|
|
rng = date_range("1/1/2000", "1/2/2000", freq="5min")
|
|
|
|
rng2 = DatetimeIndex(rng)
|
|
assert rng.freq == rng2.freq
|
|
|
|
def test_explicit_none_freq(self):
|
|
# Explicitly passing freq=None is respected
|
|
rng = date_range("1/1/2000", "1/2/2000", freq="5min")
|
|
|
|
result = DatetimeIndex(rng, freq=None)
|
|
assert result.freq is None
|
|
|
|
result = DatetimeIndex(rng._data, freq=None)
|
|
assert result.freq is None
|
|
|
|
def test_dti_constructor_years_only(self, tz_naive_fixture):
|
|
tz = tz_naive_fixture
|
|
# GH 6961
|
|
rng1 = date_range("2014", "2015", freq="M", tz=tz)
|
|
expected1 = date_range("2014-01-31", "2014-12-31", freq="M", tz=tz)
|
|
|
|
rng2 = date_range("2014", "2015", freq="MS", tz=tz)
|
|
expected2 = date_range("2014-01-01", "2015-01-01", freq="MS", tz=tz)
|
|
|
|
rng3 = date_range("2014", "2020", freq="A", tz=tz)
|
|
expected3 = date_range("2014-12-31", "2019-12-31", freq="A", tz=tz)
|
|
|
|
rng4 = date_range("2014", "2020", freq="AS", tz=tz)
|
|
expected4 = date_range("2014-01-01", "2020-01-01", freq="AS", tz=tz)
|
|
|
|
for rng, expected in [
|
|
(rng1, expected1),
|
|
(rng2, expected2),
|
|
(rng3, expected3),
|
|
(rng4, expected4),
|
|
]:
|
|
tm.assert_index_equal(rng, expected)
|
|
|
|
def test_dti_constructor_small_int(self, any_int_dtype):
|
|
# see gh-13721
|
|
exp = DatetimeIndex(
|
|
[
|
|
"1970-01-01 00:00:00.00000000",
|
|
"1970-01-01 00:00:00.00000001",
|
|
"1970-01-01 00:00:00.00000002",
|
|
]
|
|
)
|
|
|
|
arr = np.array([0, 10, 20], dtype=any_int_dtype)
|
|
tm.assert_index_equal(DatetimeIndex(arr), exp)
|
|
|
|
def test_ctor_str_intraday(self):
|
|
rng = DatetimeIndex(["1-1-2000 00:00:01"])
|
|
assert rng[0].second == 1
|
|
|
|
def test_is_(self):
|
|
dti = date_range(start="1/1/2005", end="12/1/2005", freq="M")
|
|
assert dti.is_(dti)
|
|
assert dti.is_(dti.view())
|
|
assert not dti.is_(dti.copy())
|
|
|
|
def test_index_cast_datetime64_other_units(self):
|
|
arr = np.arange(0, 100, 10, dtype=np.int64).view("M8[D]")
|
|
idx = Index(arr)
|
|
|
|
assert (idx.values == conversion.ensure_datetime64ns(arr)).all()
|
|
|
|
def test_constructor_int64_nocopy(self):
|
|
# GH#1624
|
|
arr = np.arange(1000, dtype=np.int64)
|
|
index = DatetimeIndex(arr)
|
|
|
|
arr[50:100] = -1
|
|
assert (index.asi8[50:100] == -1).all()
|
|
|
|
arr = np.arange(1000, dtype=np.int64)
|
|
index = DatetimeIndex(arr, copy=True)
|
|
|
|
arr[50:100] = -1
|
|
assert (index.asi8[50:100] != -1).all()
|
|
|
|
@pytest.mark.parametrize(
|
|
"freq", ["M", "Q", "A", "D", "B", "BH", "T", "S", "L", "U", "H", "N", "C"]
|
|
)
|
|
def test_from_freq_recreate_from_data(self, freq):
|
|
org = date_range(start="2001/02/01 09:00", freq=freq, periods=1)
|
|
idx = DatetimeIndex(org, freq=freq)
|
|
tm.assert_index_equal(idx, org)
|
|
|
|
org = date_range(
|
|
start="2001/02/01 09:00", freq=freq, tz="US/Pacific", periods=1
|
|
)
|
|
idx = DatetimeIndex(org, freq=freq, tz="US/Pacific")
|
|
tm.assert_index_equal(idx, org)
|
|
|
|
def test_datetimeindex_constructor_misc(self):
|
|
arr = ["1/1/2005", "1/2/2005", "Jn 3, 2005", "2005-01-04"]
|
|
msg = r"(\(')?Unknown string format(:', 'Jn 3, 2005'\))?"
|
|
with pytest.raises(ValueError, match=msg):
|
|
DatetimeIndex(arr)
|
|
|
|
arr = ["1/1/2005", "1/2/2005", "1/3/2005", "2005-01-04"]
|
|
idx1 = DatetimeIndex(arr)
|
|
|
|
arr = [datetime(2005, 1, 1), "1/2/2005", "1/3/2005", "2005-01-04"]
|
|
idx2 = DatetimeIndex(arr)
|
|
|
|
arr = [Timestamp(datetime(2005, 1, 1)), "1/2/2005", "1/3/2005", "2005-01-04"]
|
|
idx3 = DatetimeIndex(arr)
|
|
|
|
arr = np.array(["1/1/2005", "1/2/2005", "1/3/2005", "2005-01-04"], dtype="O")
|
|
idx4 = DatetimeIndex(arr)
|
|
|
|
arr = to_datetime(["1/1/2005", "1/2/2005", "1/3/2005", "2005-01-04"])
|
|
idx5 = DatetimeIndex(arr)
|
|
|
|
arr = to_datetime(["1/1/2005", "1/2/2005", "Jan 3, 2005", "2005-01-04"])
|
|
idx6 = DatetimeIndex(arr)
|
|
|
|
idx7 = DatetimeIndex(["12/05/2007", "25/01/2008"], dayfirst=True)
|
|
idx8 = DatetimeIndex(
|
|
["2007/05/12", "2008/01/25"], dayfirst=False, yearfirst=True
|
|
)
|
|
tm.assert_index_equal(idx7, idx8)
|
|
|
|
for other in [idx2, idx3, idx4, idx5, idx6]:
|
|
assert (idx1.values == other.values).all()
|
|
|
|
sdate = datetime(1999, 12, 25)
|
|
edate = datetime(2000, 1, 1)
|
|
idx = date_range(start=sdate, freq="1B", periods=20)
|
|
assert len(idx) == 20
|
|
assert idx[0] == sdate + 0 * offsets.BDay()
|
|
assert idx.freq == "B"
|
|
|
|
idx1 = date_range(start=sdate, end=edate, freq="W-SUN")
|
|
idx2 = date_range(start=sdate, end=edate, freq=offsets.Week(weekday=6))
|
|
assert len(idx1) == len(idx2)
|
|
assert idx1.freq == idx2.freq
|
|
|
|
idx1 = date_range(start=sdate, end=edate, freq="QS")
|
|
idx2 = date_range(
|
|
start=sdate, end=edate, freq=offsets.QuarterBegin(startingMonth=1)
|
|
)
|
|
assert len(idx1) == len(idx2)
|
|
assert idx1.freq == idx2.freq
|
|
|
|
idx1 = date_range(start=sdate, end=edate, freq="BQ")
|
|
idx2 = date_range(
|
|
start=sdate, end=edate, freq=offsets.BQuarterEnd(startingMonth=12)
|
|
)
|
|
assert len(idx1) == len(idx2)
|
|
assert idx1.freq == idx2.freq
|
|
|
|
def test_pass_datetimeindex_to_index(self):
|
|
# Bugs in #1396
|
|
rng = date_range("1/1/2000", "3/1/2000")
|
|
idx = Index(rng, dtype=object)
|
|
|
|
expected = Index(rng.to_pydatetime(), dtype=object)
|
|
|
|
tm.assert_numpy_array_equal(idx.values, expected.values)
|
|
|
|
def test_date_range_tuple_freq_raises(self):
|
|
# GH#34703
|
|
edate = datetime(2000, 1, 1)
|
|
with pytest.raises(TypeError, match="pass as a string instead"):
|
|
date_range(end=edate, freq=("D", 5), periods=20)
|
|
|
|
|
|
def test_timestamp_constructor_invalid_fold_raise():
|
|
# Test for #25057
|
|
# Valid fold values are only [None, 0, 1]
|
|
msg = "Valid values for the fold argument are None, 0, or 1."
|
|
with pytest.raises(ValueError, match=msg):
|
|
Timestamp(123, fold=2)
|
|
|
|
|
|
def test_timestamp_constructor_pytz_fold_raise():
|
|
# Test for #25057
|
|
# pytz doesn't support fold. Check that we raise
|
|
# if fold is passed with pytz
|
|
msg = "pytz timezones do not support fold. Please use dateutil timezones."
|
|
tz = pytz.timezone("Europe/London")
|
|
with pytest.raises(ValueError, match=msg):
|
|
Timestamp(datetime(2019, 10, 27, 0, 30, 0, 0), tz=tz, fold=0)
|
|
|
|
|
|
@pytest.mark.parametrize("fold", [0, 1])
|
|
@pytest.mark.parametrize(
|
|
"ts_input",
|
|
[
|
|
1572136200000000000,
|
|
1572136200000000000.0,
|
|
np.datetime64(1572136200000000000, "ns"),
|
|
"2019-10-27 01:30:00+01:00",
|
|
datetime(2019, 10, 27, 0, 30, 0, 0, tzinfo=timezone.utc),
|
|
],
|
|
)
|
|
def test_timestamp_constructor_fold_conflict(ts_input, fold):
|
|
# Test for #25057
|
|
# Check that we raise on fold conflict
|
|
msg = (
|
|
"Cannot pass fold with possibly unambiguous input: int, float, "
|
|
"numpy.datetime64, str, or timezone-aware datetime-like. "
|
|
"Pass naive datetime-like or build Timestamp from components."
|
|
)
|
|
with pytest.raises(ValueError, match=msg):
|
|
Timestamp(ts_input=ts_input, fold=fold)
|
|
|
|
|
|
@pytest.mark.parametrize("tz", ["dateutil/Europe/London", None])
|
|
@pytest.mark.parametrize("fold", [0, 1])
|
|
def test_timestamp_constructor_retain_fold(tz, fold):
|
|
# Test for #25057
|
|
# Check that we retain fold
|
|
ts = Timestamp(year=2019, month=10, day=27, hour=1, minute=30, tz=tz, fold=fold)
|
|
result = ts.fold
|
|
expected = fold
|
|
assert result == expected
|
|
|
|
|
|
@pytest.mark.parametrize("tz", ["dateutil/Europe/London"])
|
|
@pytest.mark.parametrize(
|
|
"ts_input,fold_out",
|
|
[
|
|
(1572136200000000000, 0),
|
|
(1572139800000000000, 1),
|
|
("2019-10-27 01:30:00+01:00", 0),
|
|
("2019-10-27 01:30:00+00:00", 1),
|
|
(datetime(2019, 10, 27, 1, 30, 0, 0, fold=0), 0),
|
|
(datetime(2019, 10, 27, 1, 30, 0, 0, fold=1), 1),
|
|
],
|
|
)
|
|
def test_timestamp_constructor_infer_fold_from_value(tz, ts_input, fold_out):
|
|
# Test for #25057
|
|
# Check that we infer fold correctly based on timestamps since utc
|
|
# or strings
|
|
ts = Timestamp(ts_input, tz=tz)
|
|
result = ts.fold
|
|
expected = fold_out
|
|
assert result == expected
|
|
|
|
|
|
@pytest.mark.parametrize("tz", ["dateutil/Europe/London"])
|
|
@pytest.mark.parametrize(
|
|
"ts_input,fold,value_out",
|
|
[
|
|
(datetime(2019, 10, 27, 1, 30, 0, 0), 0, 1572136200000000000),
|
|
(datetime(2019, 10, 27, 1, 30, 0, 0), 1, 1572139800000000000),
|
|
],
|
|
)
|
|
def test_timestamp_constructor_adjust_value_for_fold(tz, ts_input, fold, value_out):
|
|
# Test for #25057
|
|
# Check that we adjust value for fold correctly
|
|
# based on timestamps since utc
|
|
ts = Timestamp(ts_input, tz=tz, fold=fold)
|
|
result = ts.value
|
|
expected = value_out
|
|
assert result == expected
|