713 lines
24 KiB
Python
713 lines
24 KiB
Python
from datetime import (
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date,
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datetime,
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time,
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timedelta,
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)
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import numpy as np
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import pytest
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import pandas as pd
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from pandas import (
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DatetimeIndex,
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Index,
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Timestamp,
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bdate_range,
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date_range,
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notna,
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)
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import pandas._testing as tm
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from pandas.tseries.frequencies import to_offset
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START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
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class TestGetItem:
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def test_getitem_slice_keeps_name(self):
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# GH4226
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st = Timestamp("2013-07-01 00:00:00", tz="America/Los_Angeles")
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et = Timestamp("2013-07-02 00:00:00", tz="America/Los_Angeles")
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dr = date_range(st, et, freq="H", name="timebucket")
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assert dr[1:].name == dr.name
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def test_getitem(self):
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idx1 = date_range("2011-01-01", "2011-01-31", freq="D", name="idx")
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idx2 = date_range(
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"2011-01-01", "2011-01-31", freq="D", tz="Asia/Tokyo", name="idx"
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)
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for idx in [idx1, idx2]:
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result = idx[0]
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assert result == Timestamp("2011-01-01", tz=idx.tz)
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result = idx[0:5]
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expected = date_range(
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"2011-01-01", "2011-01-05", freq="D", tz=idx.tz, name="idx"
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)
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tm.assert_index_equal(result, expected)
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assert result.freq == expected.freq
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result = idx[0:10:2]
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expected = date_range(
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"2011-01-01", "2011-01-09", freq="2D", tz=idx.tz, name="idx"
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)
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tm.assert_index_equal(result, expected)
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assert result.freq == expected.freq
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result = idx[-20:-5:3]
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expected = date_range(
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"2011-01-12", "2011-01-24", freq="3D", tz=idx.tz, name="idx"
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)
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tm.assert_index_equal(result, expected)
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assert result.freq == expected.freq
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result = idx[4::-1]
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expected = DatetimeIndex(
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["2011-01-05", "2011-01-04", "2011-01-03", "2011-01-02", "2011-01-01"],
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freq="-1D",
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tz=idx.tz,
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name="idx",
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)
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tm.assert_index_equal(result, expected)
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assert result.freq == expected.freq
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@pytest.mark.parametrize("freq", ["B", "C"])
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def test_dti_business_getitem(self, freq):
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rng = bdate_range(START, END, freq=freq)
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smaller = rng[:5]
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exp = DatetimeIndex(rng.view(np.ndarray)[:5], freq=freq)
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tm.assert_index_equal(smaller, exp)
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assert smaller.freq == exp.freq
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assert smaller.freq == rng.freq
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sliced = rng[::5]
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assert sliced.freq == to_offset(freq) * 5
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fancy_indexed = rng[[4, 3, 2, 1, 0]]
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assert len(fancy_indexed) == 5
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assert isinstance(fancy_indexed, DatetimeIndex)
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assert fancy_indexed.freq is None
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# 32-bit vs. 64-bit platforms
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assert rng[4] == rng[np.int_(4)]
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@pytest.mark.parametrize("freq", ["B", "C"])
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def test_dti_business_getitem_matplotlib_hackaround(self, freq):
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rng = bdate_range(START, END, freq=freq)
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with pytest.raises(ValueError, match="Multi-dimensional indexing"):
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# GH#30588 multi-dimensional indexing deprecated
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rng[:, None]
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def test_getitem_int_list(self):
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dti = date_range(start="1/1/2005", end="12/1/2005", freq="M")
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dti2 = dti[[1, 3, 5]]
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v1 = dti2[0]
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v2 = dti2[1]
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v3 = dti2[2]
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assert v1 == Timestamp("2/28/2005")
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assert v2 == Timestamp("4/30/2005")
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assert v3 == Timestamp("6/30/2005")
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# getitem with non-slice drops freq
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assert dti2.freq is None
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class TestWhere:
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def test_where_doesnt_retain_freq(self):
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dti = date_range("20130101", periods=3, freq="D", name="idx")
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cond = [True, True, False]
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expected = DatetimeIndex([dti[0], dti[1], dti[0]], freq=None, name="idx")
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result = dti.where(cond, dti[::-1])
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tm.assert_index_equal(result, expected)
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def test_where_other(self):
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# other is ndarray or Index
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i = date_range("20130101", periods=3, tz="US/Eastern")
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for arr in [np.nan, pd.NaT]:
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result = i.where(notna(i), other=arr)
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expected = i
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tm.assert_index_equal(result, expected)
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i2 = i.copy()
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i2 = Index([pd.NaT, pd.NaT] + i[2:].tolist())
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result = i.where(notna(i2), i2)
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tm.assert_index_equal(result, i2)
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i2 = i.copy()
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i2 = Index([pd.NaT, pd.NaT] + i[2:].tolist())
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result = i.where(notna(i2), i2._values)
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tm.assert_index_equal(result, i2)
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def test_where_invalid_dtypes(self):
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dti = date_range("20130101", periods=3, tz="US/Eastern")
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tail = dti[2:].tolist()
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i2 = Index([pd.NaT, pd.NaT] + tail)
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mask = notna(i2)
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# passing tz-naive ndarray to tzaware DTI
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result = dti.where(mask, i2.values)
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expected = Index([pd.NaT.asm8, pd.NaT.asm8] + tail, dtype=object)
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tm.assert_index_equal(result, expected)
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# passing tz-aware DTI to tznaive DTI
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naive = dti.tz_localize(None)
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result = naive.where(mask, i2)
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expected = Index([i2[0], i2[1]] + naive[2:].tolist(), dtype=object)
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tm.assert_index_equal(result, expected)
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pi = i2.tz_localize(None).to_period("D")
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result = dti.where(mask, pi)
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expected = Index([pi[0], pi[1]] + tail, dtype=object)
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tm.assert_index_equal(result, expected)
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tda = i2.asi8.view("timedelta64[ns]")
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result = dti.where(mask, tda)
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expected = Index([tda[0], tda[1]] + tail, dtype=object)
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assert isinstance(expected[0], np.timedelta64)
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tm.assert_index_equal(result, expected)
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result = dti.where(mask, i2.asi8)
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expected = Index([pd.NaT._value, pd.NaT._value] + tail, dtype=object)
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assert isinstance(expected[0], int)
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tm.assert_index_equal(result, expected)
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# non-matching scalar
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td = pd.Timedelta(days=4)
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result = dti.where(mask, td)
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expected = Index([td, td] + tail, dtype=object)
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assert expected[0] is td
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tm.assert_index_equal(result, expected)
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def test_where_mismatched_nat(self, tz_aware_fixture):
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tz = tz_aware_fixture
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dti = date_range("2013-01-01", periods=3, tz=tz)
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cond = np.array([True, False, True])
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tdnat = np.timedelta64("NaT", "ns")
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expected = Index([dti[0], tdnat, dti[2]], dtype=object)
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assert expected[1] is tdnat
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result = dti.where(cond, tdnat)
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tm.assert_index_equal(result, expected)
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def test_where_tz(self):
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i = date_range("20130101", periods=3, tz="US/Eastern")
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result = i.where(notna(i))
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expected = i
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tm.assert_index_equal(result, expected)
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i2 = i.copy()
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i2 = Index([pd.NaT, pd.NaT] + i[2:].tolist())
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result = i.where(notna(i2))
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expected = i2
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tm.assert_index_equal(result, expected)
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class TestTake:
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def test_take_nan_first_datetime(self):
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index = DatetimeIndex([pd.NaT, Timestamp("20130101"), Timestamp("20130102")])
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result = index.take([-1, 0, 1])
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expected = DatetimeIndex([index[-1], index[0], index[1]])
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tm.assert_index_equal(result, expected)
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def test_take(self):
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# GH#10295
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idx1 = date_range("2011-01-01", "2011-01-31", freq="D", name="idx")
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idx2 = date_range(
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"2011-01-01", "2011-01-31", freq="D", tz="Asia/Tokyo", name="idx"
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)
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for idx in [idx1, idx2]:
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result = idx.take([0])
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assert result == Timestamp("2011-01-01", tz=idx.tz)
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result = idx.take([0, 1, 2])
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expected = date_range(
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"2011-01-01", "2011-01-03", freq="D", tz=idx.tz, name="idx"
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)
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tm.assert_index_equal(result, expected)
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assert result.freq == expected.freq
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result = idx.take([0, 2, 4])
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expected = date_range(
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"2011-01-01", "2011-01-05", freq="2D", tz=idx.tz, name="idx"
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)
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tm.assert_index_equal(result, expected)
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assert result.freq == expected.freq
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result = idx.take([7, 4, 1])
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expected = date_range(
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"2011-01-08", "2011-01-02", freq="-3D", tz=idx.tz, name="idx"
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)
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tm.assert_index_equal(result, expected)
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assert result.freq == expected.freq
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result = idx.take([3, 2, 5])
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expected = DatetimeIndex(
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["2011-01-04", "2011-01-03", "2011-01-06"],
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freq=None,
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tz=idx.tz,
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name="idx",
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)
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tm.assert_index_equal(result, expected)
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assert result.freq is None
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result = idx.take([-3, 2, 5])
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expected = DatetimeIndex(
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["2011-01-29", "2011-01-03", "2011-01-06"],
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freq=None,
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tz=idx.tz,
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name="idx",
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)
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tm.assert_index_equal(result, expected)
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assert result.freq is None
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def test_take_invalid_kwargs(self):
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idx = date_range("2011-01-01", "2011-01-31", freq="D", name="idx")
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indices = [1, 6, 5, 9, 10, 13, 15, 3]
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msg = r"take\(\) got an unexpected keyword argument 'foo'"
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with pytest.raises(TypeError, match=msg):
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idx.take(indices, foo=2)
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msg = "the 'out' parameter is not supported"
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with pytest.raises(ValueError, match=msg):
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idx.take(indices, out=indices)
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msg = "the 'mode' parameter is not supported"
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with pytest.raises(ValueError, match=msg):
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idx.take(indices, mode="clip")
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# TODO: This method came from test_datetime; de-dup with version above
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@pytest.mark.parametrize("tz", [None, "US/Eastern", "Asia/Tokyo"])
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def test_take2(self, tz):
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dates = [
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datetime(2010, 1, 1, 14),
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datetime(2010, 1, 1, 15),
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datetime(2010, 1, 1, 17),
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datetime(2010, 1, 1, 21),
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]
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idx = date_range(
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start="2010-01-01 09:00",
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end="2010-02-01 09:00",
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freq="H",
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tz=tz,
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name="idx",
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)
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expected = DatetimeIndex(dates, freq=None, name="idx", tz=tz)
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taken1 = idx.take([5, 6, 8, 12])
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taken2 = idx[[5, 6, 8, 12]]
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for taken in [taken1, taken2]:
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tm.assert_index_equal(taken, expected)
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assert isinstance(taken, DatetimeIndex)
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assert taken.freq is None
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assert taken.tz == expected.tz
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assert taken.name == expected.name
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def test_take_fill_value(self):
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# GH#12631
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idx = DatetimeIndex(["2011-01-01", "2011-02-01", "2011-03-01"], name="xxx")
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result = idx.take(np.array([1, 0, -1]))
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expected = DatetimeIndex(["2011-02-01", "2011-01-01", "2011-03-01"], name="xxx")
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tm.assert_index_equal(result, expected)
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# fill_value
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result = idx.take(np.array([1, 0, -1]), fill_value=True)
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expected = DatetimeIndex(["2011-02-01", "2011-01-01", "NaT"], name="xxx")
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tm.assert_index_equal(result, expected)
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# allow_fill=False
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result = idx.take(np.array([1, 0, -1]), allow_fill=False, fill_value=True)
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expected = DatetimeIndex(["2011-02-01", "2011-01-01", "2011-03-01"], name="xxx")
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tm.assert_index_equal(result, expected)
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msg = (
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"When allow_fill=True and fill_value is not None, "
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"all indices must be >= -1"
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)
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with pytest.raises(ValueError, match=msg):
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idx.take(np.array([1, 0, -2]), fill_value=True)
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with pytest.raises(ValueError, match=msg):
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idx.take(np.array([1, 0, -5]), fill_value=True)
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msg = "out of bounds"
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with pytest.raises(IndexError, match=msg):
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idx.take(np.array([1, -5]))
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def test_take_fill_value_with_timezone(self):
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idx = DatetimeIndex(
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["2011-01-01", "2011-02-01", "2011-03-01"], name="xxx", tz="US/Eastern"
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)
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result = idx.take(np.array([1, 0, -1]))
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expected = DatetimeIndex(
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["2011-02-01", "2011-01-01", "2011-03-01"], name="xxx", tz="US/Eastern"
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)
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tm.assert_index_equal(result, expected)
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# fill_value
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result = idx.take(np.array([1, 0, -1]), fill_value=True)
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expected = DatetimeIndex(
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["2011-02-01", "2011-01-01", "NaT"], name="xxx", tz="US/Eastern"
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)
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tm.assert_index_equal(result, expected)
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# allow_fill=False
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result = idx.take(np.array([1, 0, -1]), allow_fill=False, fill_value=True)
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expected = DatetimeIndex(
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["2011-02-01", "2011-01-01", "2011-03-01"], name="xxx", tz="US/Eastern"
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)
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tm.assert_index_equal(result, expected)
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msg = (
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"When allow_fill=True and fill_value is not None, "
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"all indices must be >= -1"
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)
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with pytest.raises(ValueError, match=msg):
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idx.take(np.array([1, 0, -2]), fill_value=True)
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with pytest.raises(ValueError, match=msg):
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idx.take(np.array([1, 0, -5]), fill_value=True)
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msg = "out of bounds"
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with pytest.raises(IndexError, match=msg):
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idx.take(np.array([1, -5]))
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class TestGetLoc:
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def test_get_loc_key_unit_mismatch(self):
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idx = date_range("2000-01-01", periods=3)
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key = idx[1].as_unit("ms")
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loc = idx.get_loc(key)
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assert loc == 1
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assert key in idx
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def test_get_loc_key_unit_mismatch_not_castable(self):
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dta = date_range("2000-01-01", periods=3)._data.astype("M8[s]")
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dti = DatetimeIndex(dta)
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key = dta[0].as_unit("ns") + pd.Timedelta(1)
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with pytest.raises(
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KeyError, match=r"Timestamp\('2000-01-01 00:00:00.000000001'\)"
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):
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dti.get_loc(key)
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assert key not in dti
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def test_get_loc_time_obj(self):
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# time indexing
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idx = date_range("2000-01-01", periods=24, freq="H")
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result = idx.get_loc(time(12))
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expected = np.array([12])
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tm.assert_numpy_array_equal(result, expected, check_dtype=False)
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result = idx.get_loc(time(12, 30))
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expected = np.array([])
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tm.assert_numpy_array_equal(result, expected, check_dtype=False)
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def test_get_loc_time_obj2(self):
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# GH#8667
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from pandas._libs.index import _SIZE_CUTOFF
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ns = _SIZE_CUTOFF + np.array([-100, 100], dtype=np.int64)
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key = time(15, 11, 30)
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start = key.hour * 3600 + key.minute * 60 + key.second
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step = 24 * 3600
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for n in ns:
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idx = date_range("2014-11-26", periods=n, freq="S")
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ts = pd.Series(np.random.randn(n), index=idx)
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locs = np.arange(start, n, step, dtype=np.intp)
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result = ts.index.get_loc(key)
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tm.assert_numpy_array_equal(result, locs)
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tm.assert_series_equal(ts[key], ts.iloc[locs])
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left, right = ts.copy(), ts.copy()
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left[key] *= -10
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right.iloc[locs] *= -10
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tm.assert_series_equal(left, right)
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def test_get_loc_time_nat(self):
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# GH#35114
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# Case where key's total microseconds happens to match iNaT % 1e6 // 1000
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tic = time(minute=12, second=43, microsecond=145224)
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dti = DatetimeIndex([pd.NaT])
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loc = dti.get_loc(tic)
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expected = np.array([], dtype=np.intp)
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tm.assert_numpy_array_equal(loc, expected)
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def test_get_loc_nat(self):
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# GH#20464
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index = DatetimeIndex(["1/3/2000", "NaT"])
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assert index.get_loc(pd.NaT) == 1
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assert index.get_loc(None) == 1
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assert index.get_loc(np.nan) == 1
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assert index.get_loc(pd.NA) == 1
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assert index.get_loc(np.datetime64("NaT")) == 1
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with pytest.raises(KeyError, match="NaT"):
|
|
index.get_loc(np.timedelta64("NaT"))
|
|
|
|
@pytest.mark.parametrize("key", [pd.Timedelta(0), pd.Timedelta(1), timedelta(0)])
|
|
def test_get_loc_timedelta_invalid_key(self, key):
|
|
# GH#20464
|
|
dti = date_range("1970-01-01", periods=10)
|
|
msg = "Cannot index DatetimeIndex with [Tt]imedelta"
|
|
with pytest.raises(TypeError, match=msg):
|
|
dti.get_loc(key)
|
|
|
|
def test_get_loc_reasonable_key_error(self):
|
|
# GH#1062
|
|
index = DatetimeIndex(["1/3/2000"])
|
|
with pytest.raises(KeyError, match="2000"):
|
|
index.get_loc("1/1/2000")
|
|
|
|
def test_get_loc_year_str(self):
|
|
rng = date_range("1/1/2000", "1/1/2010")
|
|
|
|
result = rng.get_loc("2009")
|
|
expected = slice(3288, 3653)
|
|
assert result == expected
|
|
|
|
|
|
class TestContains:
|
|
def test_dti_contains_with_duplicates(self):
|
|
d = datetime(2011, 12, 5, 20, 30)
|
|
ix = DatetimeIndex([d, d])
|
|
assert d in ix
|
|
|
|
@pytest.mark.parametrize(
|
|
"vals",
|
|
[
|
|
[0, 1, 0],
|
|
[0, 0, -1],
|
|
[0, -1, -1],
|
|
["2015", "2015", "2016"],
|
|
["2015", "2015", "2014"],
|
|
],
|
|
)
|
|
def test_contains_nonunique(self, vals):
|
|
# GH#9512
|
|
idx = DatetimeIndex(vals)
|
|
assert idx[0] in idx
|
|
|
|
|
|
class TestGetIndexer:
|
|
def test_get_indexer_date_objs(self):
|
|
rng = date_range("1/1/2000", periods=20)
|
|
|
|
result = rng.get_indexer(rng.map(lambda x: x.date()))
|
|
expected = rng.get_indexer(rng)
|
|
tm.assert_numpy_array_equal(result, expected)
|
|
|
|
def test_get_indexer(self):
|
|
idx = date_range("2000-01-01", periods=3)
|
|
exp = np.array([0, 1, 2], dtype=np.intp)
|
|
tm.assert_numpy_array_equal(idx.get_indexer(idx), exp)
|
|
|
|
target = idx[0] + pd.to_timedelta(["-1 hour", "12 hours", "1 day 1 hour"])
|
|
tm.assert_numpy_array_equal(
|
|
idx.get_indexer(target, "pad"), np.array([-1, 0, 1], dtype=np.intp)
|
|
)
|
|
tm.assert_numpy_array_equal(
|
|
idx.get_indexer(target, "backfill"), np.array([0, 1, 2], dtype=np.intp)
|
|
)
|
|
tm.assert_numpy_array_equal(
|
|
idx.get_indexer(target, "nearest"), np.array([0, 1, 1], dtype=np.intp)
|
|
)
|
|
tm.assert_numpy_array_equal(
|
|
idx.get_indexer(target, "nearest", tolerance=pd.Timedelta("1 hour")),
|
|
np.array([0, -1, 1], dtype=np.intp),
|
|
)
|
|
tol_raw = [
|
|
pd.Timedelta("1 hour"),
|
|
pd.Timedelta("1 hour"),
|
|
pd.Timedelta("1 hour").to_timedelta64(),
|
|
]
|
|
tm.assert_numpy_array_equal(
|
|
idx.get_indexer(
|
|
target, "nearest", tolerance=[np.timedelta64(x) for x in tol_raw]
|
|
),
|
|
np.array([0, -1, 1], dtype=np.intp),
|
|
)
|
|
tol_bad = [
|
|
pd.Timedelta("2 hour").to_timedelta64(),
|
|
pd.Timedelta("1 hour").to_timedelta64(),
|
|
"foo",
|
|
]
|
|
msg = "Could not convert 'foo' to NumPy timedelta"
|
|
with pytest.raises(ValueError, match=msg):
|
|
idx.get_indexer(target, "nearest", tolerance=tol_bad)
|
|
with pytest.raises(ValueError, match="abbreviation w/o a number"):
|
|
idx.get_indexer(idx[[0]], method="nearest", tolerance="foo")
|
|
|
|
@pytest.mark.parametrize(
|
|
"target",
|
|
[
|
|
[date(2020, 1, 1), Timestamp("2020-01-02")],
|
|
[Timestamp("2020-01-01"), date(2020, 1, 2)],
|
|
],
|
|
)
|
|
def test_get_indexer_mixed_dtypes(self, target):
|
|
# https://github.com/pandas-dev/pandas/issues/33741
|
|
values = DatetimeIndex([Timestamp("2020-01-01"), Timestamp("2020-01-02")])
|
|
result = values.get_indexer(target)
|
|
expected = np.array([0, 1], dtype=np.intp)
|
|
tm.assert_numpy_array_equal(result, expected)
|
|
|
|
@pytest.mark.parametrize(
|
|
"target, positions",
|
|
[
|
|
([date(9999, 1, 1), Timestamp("2020-01-01")], [-1, 0]),
|
|
([Timestamp("2020-01-01"), date(9999, 1, 1)], [0, -1]),
|
|
([date(9999, 1, 1), date(9999, 1, 1)], [-1, -1]),
|
|
],
|
|
)
|
|
def test_get_indexer_out_of_bounds_date(self, target, positions):
|
|
values = DatetimeIndex([Timestamp("2020-01-01"), Timestamp("2020-01-02")])
|
|
|
|
result = values.get_indexer(target)
|
|
expected = np.array(positions, dtype=np.intp)
|
|
tm.assert_numpy_array_equal(result, expected)
|
|
|
|
def test_get_indexer_pad_requires_monotonicity(self):
|
|
rng = date_range("1/1/2000", "3/1/2000", freq="B")
|
|
|
|
# neither monotonic increasing or decreasing
|
|
rng2 = rng[[1, 0, 2]]
|
|
|
|
msg = "index must be monotonic increasing or decreasing"
|
|
with pytest.raises(ValueError, match=msg):
|
|
rng2.get_indexer(rng, method="pad")
|
|
|
|
|
|
class TestMaybeCastSliceBound:
|
|
def test_maybe_cast_slice_bounds_empty(self):
|
|
# GH#14354
|
|
empty_idx = date_range(freq="1H", periods=0, end="2015")
|
|
|
|
right = empty_idx._maybe_cast_slice_bound("2015-01-02", "right")
|
|
exp = Timestamp("2015-01-02 23:59:59.999999999")
|
|
assert right == exp
|
|
|
|
left = empty_idx._maybe_cast_slice_bound("2015-01-02", "left")
|
|
exp = Timestamp("2015-01-02 00:00:00")
|
|
assert left == exp
|
|
|
|
def test_maybe_cast_slice_duplicate_monotonic(self):
|
|
# https://github.com/pandas-dev/pandas/issues/16515
|
|
idx = DatetimeIndex(["2017", "2017"])
|
|
result = idx._maybe_cast_slice_bound("2017-01-01", "left")
|
|
expected = Timestamp("2017-01-01")
|
|
assert result == expected
|
|
|
|
|
|
class TestGetSliceBounds:
|
|
@pytest.mark.parametrize("box", [date, datetime, Timestamp])
|
|
@pytest.mark.parametrize("side, expected", [("left", 4), ("right", 5)])
|
|
def test_get_slice_bounds_datetime_within(
|
|
self, box, side, expected, tz_aware_fixture
|
|
):
|
|
# GH 35690
|
|
tz = tz_aware_fixture
|
|
index = bdate_range("2000-01-03", "2000-02-11").tz_localize(tz)
|
|
key = box(year=2000, month=1, day=7)
|
|
|
|
if tz is not None:
|
|
with pytest.raises(TypeError, match="Cannot compare tz-naive"):
|
|
# GH#36148 we require tzawareness-compat as of 2.0
|
|
index.get_slice_bound(key, side=side)
|
|
else:
|
|
result = index.get_slice_bound(key, side=side)
|
|
assert result == expected
|
|
|
|
@pytest.mark.parametrize("box", [datetime, Timestamp])
|
|
@pytest.mark.parametrize("side", ["left", "right"])
|
|
@pytest.mark.parametrize("year, expected", [(1999, 0), (2020, 30)])
|
|
def test_get_slice_bounds_datetime_outside(
|
|
self, box, side, year, expected, tz_aware_fixture
|
|
):
|
|
# GH 35690
|
|
tz = tz_aware_fixture
|
|
index = bdate_range("2000-01-03", "2000-02-11").tz_localize(tz)
|
|
key = box(year=year, month=1, day=7)
|
|
|
|
if tz is not None:
|
|
with pytest.raises(TypeError, match="Cannot compare tz-naive"):
|
|
# GH#36148 we require tzawareness-compat as of 2.0
|
|
index.get_slice_bound(key, side=side)
|
|
else:
|
|
result = index.get_slice_bound(key, side=side)
|
|
assert result == expected
|
|
|
|
@pytest.mark.parametrize("box", [datetime, Timestamp])
|
|
def test_slice_datetime_locs(self, box, tz_aware_fixture):
|
|
# GH 34077
|
|
tz = tz_aware_fixture
|
|
index = DatetimeIndex(["2010-01-01", "2010-01-03"]).tz_localize(tz)
|
|
key = box(2010, 1, 1)
|
|
|
|
if tz is not None:
|
|
with pytest.raises(TypeError, match="Cannot compare tz-naive"):
|
|
# GH#36148 we require tzawareness-compat as of 2.0
|
|
index.slice_locs(key, box(2010, 1, 2))
|
|
else:
|
|
result = index.slice_locs(key, box(2010, 1, 2))
|
|
expected = (0, 1)
|
|
assert result == expected
|
|
|
|
|
|
class TestIndexerBetweenTime:
|
|
def test_indexer_between_time(self):
|
|
# GH#11818
|
|
rng = date_range("1/1/2000", "1/5/2000", freq="5min")
|
|
msg = r"Cannot convert arg \[datetime\.datetime\(2010, 1, 2, 1, 0\)\] to a time"
|
|
with pytest.raises(ValueError, match=msg):
|
|
rng.indexer_between_time(datetime(2010, 1, 2, 1), datetime(2010, 1, 2, 5))
|
|
|
|
@pytest.mark.parametrize("unit", ["us", "ms", "s"])
|
|
def test_indexer_between_time_non_nano(self, unit):
|
|
# For simple cases like this, the non-nano indexer_between_time
|
|
# should match the nano result
|
|
|
|
rng = date_range("1/1/2000", "1/5/2000", freq="5min")
|
|
arr_nano = rng._data._ndarray
|
|
|
|
arr = arr_nano.astype(f"M8[{unit}]")
|
|
|
|
dta = type(rng._data)._simple_new(arr, dtype=arr.dtype)
|
|
dti = DatetimeIndex(dta)
|
|
assert dti.dtype == arr.dtype
|
|
|
|
tic = time(1, 25)
|
|
toc = time(2, 29)
|
|
|
|
result = dti.indexer_between_time(tic, toc)
|
|
expected = rng.indexer_between_time(tic, toc)
|
|
tm.assert_numpy_array_equal(result, expected)
|
|
|
|
# case with non-zero micros in arguments
|
|
tic = time(1, 25, 0, 45678)
|
|
toc = time(2, 29, 0, 1234)
|
|
|
|
result = dti.indexer_between_time(tic, toc)
|
|
expected = rng.indexer_between_time(tic, toc)
|
|
tm.assert_numpy_array_equal(result, expected)
|