816 lines
27 KiB
Python
816 lines
27 KiB
Python
from datetime import datetime
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import re
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import numpy as np
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import pytest
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from pandas._libs.tslibs import period as libperiod
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from pandas.errors import InvalidIndexError
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import pandas as pd
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from pandas import (
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DatetimeIndex,
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NaT,
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Period,
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PeriodIndex,
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Series,
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Timedelta,
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date_range,
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notna,
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period_range,
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)
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import pandas._testing as tm
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dti4 = date_range("2016-01-01", periods=4)
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dti = dti4[:-1]
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rng = pd.Index(range(3))
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@pytest.fixture(
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params=[
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dti,
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dti.tz_localize("UTC"),
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dti.to_period("W"),
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dti - dti[0],
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rng,
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pd.Index([1, 2, 3]),
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pd.Index([2.0, 3.0, 4.0]),
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pd.Index([4, 5, 6], dtype="u8"),
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pd.IntervalIndex.from_breaks(dti4),
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]
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)
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def non_comparable_idx(request):
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# All have length 3
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return request.param
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class TestGetItem:
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def test_getitem_slice_keeps_name(self):
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idx = period_range("20010101", periods=10, freq="D", name="bob")
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assert idx.name == idx[1:].name
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def test_getitem(self):
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idx1 = period_range("2011-01-01", "2011-01-31", freq="D", name="idx")
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for idx in [idx1]:
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result = idx[0]
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assert result == Period("2011-01-01", freq="D")
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result = idx[-1]
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assert result == Period("2011-01-31", freq="D")
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result = idx[0:5]
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expected = period_range("2011-01-01", "2011-01-05", freq="D", name="idx")
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tm.assert_index_equal(result, expected)
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assert result.freq == expected.freq
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assert result.freq == "D"
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result = idx[0:10:2]
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expected = PeriodIndex(
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["2011-01-01", "2011-01-03", "2011-01-05", "2011-01-07", "2011-01-09"],
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freq="D",
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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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assert result.freq == "D"
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result = idx[-20:-5:3]
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expected = PeriodIndex(
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["2011-01-12", "2011-01-15", "2011-01-18", "2011-01-21", "2011-01-24"],
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freq="D",
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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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assert result.freq == "D"
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result = idx[4::-1]
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expected = PeriodIndex(
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["2011-01-05", "2011-01-04", "2011-01-03", "2011-01-02", "2011-01-01"],
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freq="D",
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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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assert result.freq == "D"
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def test_getitem_index(self):
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idx = period_range("2007-01", periods=10, freq="M", name="x")
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result = idx[[1, 3, 5]]
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exp = PeriodIndex(["2007-02", "2007-04", "2007-06"], freq="M", name="x")
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tm.assert_index_equal(result, exp)
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result = idx[[True, True, False, False, False, True, True, False, False, False]]
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exp = PeriodIndex(
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["2007-01", "2007-02", "2007-06", "2007-07"], freq="M", name="x"
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)
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tm.assert_index_equal(result, exp)
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def test_getitem_partial(self):
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rng = period_range("2007-01", periods=50, freq="M")
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ts = Series(np.random.default_rng(2).standard_normal(len(rng)), rng)
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with pytest.raises(KeyError, match=r"^'2006'$"):
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ts["2006"]
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result = ts["2008"]
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assert (result.index.year == 2008).all()
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result = ts["2008":"2009"]
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assert len(result) == 24
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result = ts["2008-1":"2009-12"]
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assert len(result) == 24
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result = ts["2008Q1":"2009Q4"]
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assert len(result) == 24
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result = ts[:"2009"]
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assert len(result) == 36
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result = ts["2009":]
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assert len(result) == 50 - 24
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exp = result
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result = ts[24:]
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tm.assert_series_equal(exp, result)
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ts = pd.concat([ts[10:], ts[10:]])
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msg = "left slice bound for non-unique label: '2008'"
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with pytest.raises(KeyError, match=msg):
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ts[slice("2008", "2009")]
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def test_getitem_datetime(self):
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rng = period_range(start="2012-01-01", periods=10, freq="W-MON")
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ts = Series(range(len(rng)), index=rng)
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dt1 = datetime(2011, 10, 2)
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dt4 = datetime(2012, 4, 20)
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rs = ts[dt1:dt4]
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tm.assert_series_equal(rs, ts)
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def test_getitem_nat(self):
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idx = PeriodIndex(["2011-01", "NaT", "2011-02"], freq="M")
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assert idx[0] == Period("2011-01", freq="M")
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assert idx[1] is NaT
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s = Series([0, 1, 2], index=idx)
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assert s[NaT] == 1
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s = Series(idx, index=idx)
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assert s[Period("2011-01", freq="M")] == Period("2011-01", freq="M")
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assert s[NaT] is NaT
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def test_getitem_list_periods(self):
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# GH 7710
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rng = period_range(start="2012-01-01", periods=10, freq="D")
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ts = Series(range(len(rng)), index=rng)
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exp = ts.iloc[[1]]
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tm.assert_series_equal(ts[[Period("2012-01-02", freq="D")]], exp)
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@pytest.mark.arm_slow
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def test_getitem_seconds(self):
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# GH#6716
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didx = date_range(start="2013/01/01 09:00:00", freq="s", periods=4000)
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pidx = period_range(start="2013/01/01 09:00:00", freq="s", periods=4000)
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for idx in [didx, pidx]:
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# getitem against index should raise ValueError
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values = [
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"2014",
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"2013/02",
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"2013/01/02",
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"2013/02/01 9h",
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"2013/02/01 09:00",
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]
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for val in values:
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# GH7116
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# these show deprecations as we are trying
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# to slice with non-integer indexers
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with pytest.raises(IndexError, match="only integers, slices"):
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idx[val]
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ser = Series(np.random.default_rng(2).random(len(idx)), index=idx)
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tm.assert_series_equal(ser["2013/01/01 10:00"], ser[3600:3660])
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tm.assert_series_equal(ser["2013/01/01 9h"], ser[:3600])
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for d in ["2013/01/01", "2013/01", "2013"]:
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tm.assert_series_equal(ser[d], ser)
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@pytest.mark.parametrize(
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"idx_range",
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[
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date_range,
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period_range,
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],
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)
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def test_getitem_day(self, idx_range):
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# GH#6716
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# Confirm DatetimeIndex and PeriodIndex works identically
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# getitem against index should raise ValueError
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idx = idx_range(start="2013/01/01", freq="D", periods=400)
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values = [
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"2014",
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"2013/02",
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"2013/01/02",
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"2013/02/01 9h",
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"2013/02/01 09:00",
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]
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for val in values:
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# GH7116
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# these show deprecations as we are trying
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# to slice with non-integer indexers
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with pytest.raises(IndexError, match="only integers, slices"):
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idx[val]
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ser = Series(np.random.default_rng(2).random(len(idx)), index=idx)
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tm.assert_series_equal(ser["2013/01"], ser[0:31])
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tm.assert_series_equal(ser["2013/02"], ser[31:59])
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tm.assert_series_equal(ser["2014"], ser[365:])
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invalid = ["2013/02/01 9h", "2013/02/01 09:00"]
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for val in invalid:
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with pytest.raises(KeyError, match=val):
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ser[val]
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class TestGetLoc:
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def test_get_loc_msg(self):
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idx = period_range("2000-1-1", freq="Y", periods=10)
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bad_period = Period("2012", "Y")
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with pytest.raises(KeyError, match=r"^Period\('2012', 'Y-DEC'\)$"):
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idx.get_loc(bad_period)
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try:
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idx.get_loc(bad_period)
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except KeyError as inst:
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assert inst.args[0] == bad_period
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def test_get_loc_nat(self):
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didx = DatetimeIndex(["2011-01-01", "NaT", "2011-01-03"])
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pidx = PeriodIndex(["2011-01-01", "NaT", "2011-01-03"], freq="M")
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# check DatetimeIndex compat
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for idx in [didx, pidx]:
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assert idx.get_loc(NaT) == 1
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assert idx.get_loc(None) == 1
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assert idx.get_loc(float("nan")) == 1
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assert idx.get_loc(np.nan) == 1
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def test_get_loc(self):
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# GH 17717
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p0 = Period("2017-09-01")
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p1 = Period("2017-09-02")
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p2 = Period("2017-09-03")
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# get the location of p1/p2 from
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# monotonic increasing PeriodIndex with non-duplicate
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idx0 = PeriodIndex([p0, p1, p2])
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expected_idx1_p1 = 1
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expected_idx1_p2 = 2
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assert idx0.get_loc(p1) == expected_idx1_p1
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assert idx0.get_loc(str(p1)) == expected_idx1_p1
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assert idx0.get_loc(p2) == expected_idx1_p2
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assert idx0.get_loc(str(p2)) == expected_idx1_p2
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msg = "Cannot interpret 'foo' as period"
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with pytest.raises(KeyError, match=msg):
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idx0.get_loc("foo")
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with pytest.raises(KeyError, match=r"^1\.1$"):
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idx0.get_loc(1.1)
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with pytest.raises(InvalidIndexError, match=re.escape(str(idx0))):
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idx0.get_loc(idx0)
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# get the location of p1/p2 from
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# monotonic increasing PeriodIndex with duplicate
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idx1 = PeriodIndex([p1, p1, p2])
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expected_idx1_p1 = slice(0, 2)
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expected_idx1_p2 = 2
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assert idx1.get_loc(p1) == expected_idx1_p1
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assert idx1.get_loc(str(p1)) == expected_idx1_p1
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assert idx1.get_loc(p2) == expected_idx1_p2
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assert idx1.get_loc(str(p2)) == expected_idx1_p2
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msg = "Cannot interpret 'foo' as period"
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with pytest.raises(KeyError, match=msg):
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idx1.get_loc("foo")
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with pytest.raises(KeyError, match=r"^1\.1$"):
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idx1.get_loc(1.1)
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with pytest.raises(InvalidIndexError, match=re.escape(str(idx1))):
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idx1.get_loc(idx1)
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# get the location of p1/p2 from
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# non-monotonic increasing/decreasing PeriodIndex with duplicate
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idx2 = PeriodIndex([p2, p1, p2])
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expected_idx2_p1 = 1
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expected_idx2_p2 = np.array([True, False, True])
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assert idx2.get_loc(p1) == expected_idx2_p1
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assert idx2.get_loc(str(p1)) == expected_idx2_p1
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tm.assert_numpy_array_equal(idx2.get_loc(p2), expected_idx2_p2)
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tm.assert_numpy_array_equal(idx2.get_loc(str(p2)), expected_idx2_p2)
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def test_get_loc_integer(self):
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dti = date_range("2016-01-01", periods=3)
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pi = dti.to_period("D")
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with pytest.raises(KeyError, match="16801"):
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pi.get_loc(16801)
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pi2 = dti.to_period("Y") # duplicates, ordinals are all 46
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with pytest.raises(KeyError, match="46"):
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pi2.get_loc(46)
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def test_get_loc_invalid_string_raises_keyerror(self):
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# GH#34240
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pi = period_range("2000", periods=3, name="A")
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with pytest.raises(KeyError, match="A"):
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pi.get_loc("A")
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ser = Series([1, 2, 3], index=pi)
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with pytest.raises(KeyError, match="A"):
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ser.loc["A"]
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with pytest.raises(KeyError, match="A"):
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ser["A"]
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assert "A" not in ser
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assert "A" not in pi
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def test_get_loc_mismatched_freq(self):
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# see also test_get_indexer_mismatched_dtype testing we get analogous
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# behavior for get_loc
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dti = date_range("2016-01-01", periods=3)
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pi = dti.to_period("D")
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pi2 = dti.to_period("W")
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pi3 = pi.view(pi2.dtype) # i.e. matching i8 representations
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with pytest.raises(KeyError, match="W-SUN"):
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pi.get_loc(pi2[0])
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with pytest.raises(KeyError, match="W-SUN"):
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# even though we have matching i8 values
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pi.get_loc(pi3[0])
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class TestGetIndexer:
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def test_get_indexer(self):
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# GH 17717
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p1 = Period("2017-09-01")
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p2 = Period("2017-09-04")
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p3 = Period("2017-09-07")
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tp0 = Period("2017-08-31")
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tp1 = Period("2017-09-02")
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tp2 = Period("2017-09-05")
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tp3 = Period("2017-09-09")
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idx = PeriodIndex([p1, p2, p3])
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tm.assert_numpy_array_equal(
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idx.get_indexer(idx), np.array([0, 1, 2], dtype=np.intp)
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)
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target = PeriodIndex([tp0, tp1, tp2, tp3])
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tm.assert_numpy_array_equal(
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idx.get_indexer(target, "pad"), np.array([-1, 0, 1, 2], dtype=np.intp)
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)
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tm.assert_numpy_array_equal(
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idx.get_indexer(target, "backfill"), np.array([0, 1, 2, -1], dtype=np.intp)
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)
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tm.assert_numpy_array_equal(
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idx.get_indexer(target, "nearest"), np.array([0, 0, 1, 2], dtype=np.intp)
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)
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res = idx.get_indexer(target, "nearest", tolerance=Timedelta("1 day"))
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tm.assert_numpy_array_equal(res, np.array([0, 0, 1, -1], dtype=np.intp))
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def test_get_indexer_mismatched_dtype(self):
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# Check that we return all -1s and do not raise or cast incorrectly
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dti = date_range("2016-01-01", periods=3)
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pi = dti.to_period("D")
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pi2 = dti.to_period("W")
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expected = np.array([-1, -1, -1], dtype=np.intp)
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result = pi.get_indexer(dti)
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tm.assert_numpy_array_equal(result, expected)
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# This should work in both directions
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result = dti.get_indexer(pi)
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tm.assert_numpy_array_equal(result, expected)
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result = pi.get_indexer(pi2)
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tm.assert_numpy_array_equal(result, expected)
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# We expect the same from get_indexer_non_unique
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result = pi.get_indexer_non_unique(dti)[0]
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tm.assert_numpy_array_equal(result, expected)
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result = dti.get_indexer_non_unique(pi)[0]
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tm.assert_numpy_array_equal(result, expected)
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result = pi.get_indexer_non_unique(pi2)[0]
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tm.assert_numpy_array_equal(result, expected)
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def test_get_indexer_mismatched_dtype_different_length(self, non_comparable_idx):
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# without method we aren't checking inequalities, so get all-missing
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# but do not raise
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dti = date_range("2016-01-01", periods=3)
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pi = dti.to_period("D")
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other = non_comparable_idx
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res = pi[:-1].get_indexer(other)
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expected = -np.ones(other.shape, dtype=np.intp)
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tm.assert_numpy_array_equal(res, expected)
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@pytest.mark.parametrize("method", ["pad", "backfill", "nearest"])
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def test_get_indexer_mismatched_dtype_with_method(self, non_comparable_idx, method):
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dti = date_range("2016-01-01", periods=3)
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pi = dti.to_period("D")
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other = non_comparable_idx
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msg = re.escape(f"Cannot compare dtypes {pi.dtype} and {other.dtype}")
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with pytest.raises(TypeError, match=msg):
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pi.get_indexer(other, method=method)
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for dtype in ["object", "category"]:
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other2 = other.astype(dtype)
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if dtype == "object" and isinstance(other, PeriodIndex):
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continue
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# Two different error message patterns depending on dtypes
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msg = "|".join(
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[
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re.escape(msg)
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for msg in (
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f"Cannot compare dtypes {pi.dtype} and {other.dtype}",
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" not supported between instances of ",
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)
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]
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)
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with pytest.raises(TypeError, match=msg):
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pi.get_indexer(other2, method=method)
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def test_get_indexer_non_unique(self):
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# GH 17717
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p1 = Period("2017-09-02")
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p2 = Period("2017-09-03")
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p3 = Period("2017-09-04")
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p4 = Period("2017-09-05")
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idx1 = PeriodIndex([p1, p2, p1])
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idx2 = PeriodIndex([p2, p1, p3, p4])
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result = idx1.get_indexer_non_unique(idx2)
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expected_indexer = np.array([1, 0, 2, -1, -1], dtype=np.intp)
|
|
expected_missing = np.array([2, 3], dtype=np.intp)
|
|
|
|
tm.assert_numpy_array_equal(result[0], expected_indexer)
|
|
tm.assert_numpy_array_equal(result[1], expected_missing)
|
|
|
|
# TODO: This method came from test_period; de-dup with version above
|
|
def test_get_indexer2(self):
|
|
idx = period_range("2000-01-01", periods=3).asfreq("h", how="start")
|
|
tm.assert_numpy_array_equal(
|
|
idx.get_indexer(idx), np.array([0, 1, 2], dtype=np.intp)
|
|
)
|
|
|
|
target = PeriodIndex(
|
|
["1999-12-31T23", "2000-01-01T12", "2000-01-02T01"], freq="h"
|
|
)
|
|
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="1 hour"),
|
|
np.array([0, -1, 1], dtype=np.intp),
|
|
)
|
|
|
|
msg = "Input has different freq=None from PeriodArray\\(freq=h\\)"
|
|
with pytest.raises(ValueError, match=msg):
|
|
idx.get_indexer(target, "nearest", tolerance="1 minute")
|
|
|
|
tm.assert_numpy_array_equal(
|
|
idx.get_indexer(target, "nearest", tolerance="1 day"),
|
|
np.array([0, 1, 1], dtype=np.intp),
|
|
)
|
|
tol_raw = [
|
|
Timedelta("1 hour"),
|
|
Timedelta("1 hour"),
|
|
np.timedelta64(1, "D"),
|
|
]
|
|
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 = [
|
|
Timedelta("2 hour").to_timedelta64(),
|
|
Timedelta("1 hour").to_timedelta64(),
|
|
np.timedelta64(1, "M"),
|
|
]
|
|
with pytest.raises(
|
|
libperiod.IncompatibleFrequency, match="Input has different freq=None from"
|
|
):
|
|
idx.get_indexer(target, "nearest", tolerance=tol_bad)
|
|
|
|
|
|
class TestWhere:
|
|
def test_where(self, listlike_box):
|
|
i = period_range("20130101", periods=5, freq="D")
|
|
cond = [True] * len(i)
|
|
expected = i
|
|
result = i.where(listlike_box(cond))
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
cond = [False] + [True] * (len(i) - 1)
|
|
expected = PeriodIndex([NaT] + i[1:].tolist(), freq="D")
|
|
result = i.where(listlike_box(cond))
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
def test_where_other(self):
|
|
i = period_range("20130101", periods=5, freq="D")
|
|
for arr in [np.nan, NaT]:
|
|
result = i.where(notna(i), other=arr)
|
|
expected = i
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
i2 = i.copy()
|
|
i2 = PeriodIndex([NaT, NaT] + i[2:].tolist(), freq="D")
|
|
result = i.where(notna(i2), i2)
|
|
tm.assert_index_equal(result, i2)
|
|
|
|
i2 = i.copy()
|
|
i2 = PeriodIndex([NaT, NaT] + i[2:].tolist(), freq="D")
|
|
result = i.where(notna(i2), i2.values)
|
|
tm.assert_index_equal(result, i2)
|
|
|
|
def test_where_invalid_dtypes(self):
|
|
pi = period_range("20130101", periods=5, freq="D")
|
|
|
|
tail = pi[2:].tolist()
|
|
i2 = PeriodIndex([NaT, NaT] + tail, freq="D")
|
|
mask = notna(i2)
|
|
|
|
result = pi.where(mask, i2.asi8)
|
|
expected = pd.Index([NaT._value, NaT._value] + tail, dtype=object)
|
|
assert isinstance(expected[0], int)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
tdi = i2.asi8.view("timedelta64[ns]")
|
|
expected = pd.Index([tdi[0], tdi[1]] + tail, dtype=object)
|
|
assert isinstance(expected[0], np.timedelta64)
|
|
result = pi.where(mask, tdi)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
dti = i2.to_timestamp("s")
|
|
expected = pd.Index([dti[0], dti[1]] + tail, dtype=object)
|
|
assert expected[0] is NaT
|
|
result = pi.where(mask, dti)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
td = Timedelta(days=4)
|
|
expected = pd.Index([td, td] + tail, dtype=object)
|
|
assert expected[0] == td
|
|
result = pi.where(mask, td)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
def test_where_mismatched_nat(self):
|
|
pi = period_range("20130101", periods=5, freq="D")
|
|
cond = np.array([True, False, True, True, False])
|
|
|
|
tdnat = np.timedelta64("NaT", "ns")
|
|
expected = pd.Index([pi[0], tdnat, pi[2], pi[3], tdnat], dtype=object)
|
|
assert expected[1] is tdnat
|
|
result = pi.where(cond, tdnat)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
|
|
class TestTake:
|
|
def test_take(self):
|
|
# GH#10295
|
|
idx1 = period_range("2011-01-01", "2011-01-31", freq="D", name="idx")
|
|
|
|
for idx in [idx1]:
|
|
result = idx.take([0])
|
|
assert result == Period("2011-01-01", freq="D")
|
|
|
|
result = idx.take([5])
|
|
assert result == Period("2011-01-06", freq="D")
|
|
|
|
result = idx.take([0, 1, 2])
|
|
expected = period_range("2011-01-01", "2011-01-03", freq="D", name="idx")
|
|
tm.assert_index_equal(result, expected)
|
|
assert result.freq == "D"
|
|
assert result.freq == expected.freq
|
|
|
|
result = idx.take([0, 2, 4])
|
|
expected = PeriodIndex(
|
|
["2011-01-01", "2011-01-03", "2011-01-05"], freq="D", name="idx"
|
|
)
|
|
tm.assert_index_equal(result, expected)
|
|
assert result.freq == expected.freq
|
|
assert result.freq == "D"
|
|
|
|
result = idx.take([7, 4, 1])
|
|
expected = PeriodIndex(
|
|
["2011-01-08", "2011-01-05", "2011-01-02"], freq="D", name="idx"
|
|
)
|
|
tm.assert_index_equal(result, expected)
|
|
assert result.freq == expected.freq
|
|
assert result.freq == "D"
|
|
|
|
result = idx.take([3, 2, 5])
|
|
expected = PeriodIndex(
|
|
["2011-01-04", "2011-01-03", "2011-01-06"], freq="D", name="idx"
|
|
)
|
|
tm.assert_index_equal(result, expected)
|
|
assert result.freq == expected.freq
|
|
assert result.freq == "D"
|
|
|
|
result = idx.take([-3, 2, 5])
|
|
expected = PeriodIndex(
|
|
["2011-01-29", "2011-01-03", "2011-01-06"], freq="D", name="idx"
|
|
)
|
|
tm.assert_index_equal(result, expected)
|
|
assert result.freq == expected.freq
|
|
assert result.freq == "D"
|
|
|
|
def test_take_misc(self):
|
|
index = period_range(start="1/1/10", end="12/31/12", freq="D", name="idx")
|
|
expected = PeriodIndex(
|
|
[
|
|
datetime(2010, 1, 6),
|
|
datetime(2010, 1, 7),
|
|
datetime(2010, 1, 9),
|
|
datetime(2010, 1, 13),
|
|
],
|
|
freq="D",
|
|
name="idx",
|
|
)
|
|
|
|
taken1 = index.take([5, 6, 8, 12])
|
|
taken2 = index[[5, 6, 8, 12]]
|
|
|
|
for taken in [taken1, taken2]:
|
|
tm.assert_index_equal(taken, expected)
|
|
assert isinstance(taken, PeriodIndex)
|
|
assert taken.freq == index.freq
|
|
assert taken.name == expected.name
|
|
|
|
def test_take_fill_value(self):
|
|
# GH#12631
|
|
idx = PeriodIndex(
|
|
["2011-01-01", "2011-02-01", "2011-03-01"], name="xxx", freq="D"
|
|
)
|
|
result = idx.take(np.array([1, 0, -1]))
|
|
expected = PeriodIndex(
|
|
["2011-02-01", "2011-01-01", "2011-03-01"], name="xxx", freq="D"
|
|
)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
# fill_value
|
|
result = idx.take(np.array([1, 0, -1]), fill_value=True)
|
|
expected = PeriodIndex(
|
|
["2011-02-01", "2011-01-01", "NaT"], name="xxx", freq="D"
|
|
)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
# allow_fill=False
|
|
result = idx.take(np.array([1, 0, -1]), allow_fill=False, fill_value=True)
|
|
expected = PeriodIndex(
|
|
["2011-02-01", "2011-01-01", "2011-03-01"], name="xxx", freq="D"
|
|
)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
msg = (
|
|
"When allow_fill=True and fill_value is not None, "
|
|
"all indices must be >= -1"
|
|
)
|
|
with pytest.raises(ValueError, match=msg):
|
|
idx.take(np.array([1, 0, -2]), fill_value=True)
|
|
with pytest.raises(ValueError, match=msg):
|
|
idx.take(np.array([1, 0, -5]), fill_value=True)
|
|
|
|
msg = "index -5 is out of bounds for( axis 0 with)? size 3"
|
|
with pytest.raises(IndexError, match=msg):
|
|
idx.take(np.array([1, -5]))
|
|
|
|
|
|
class TestGetValue:
|
|
@pytest.mark.parametrize("freq", ["h", "D"])
|
|
def test_get_value_datetime_hourly(self, freq):
|
|
# get_loc and get_value should treat datetime objects symmetrically
|
|
# TODO: this test used to test get_value, which is removed in 2.0.
|
|
# should this test be moved somewhere, or is what's left redundant?
|
|
dti = date_range("2016-01-01", periods=3, freq="MS")
|
|
pi = dti.to_period(freq)
|
|
ser = Series(range(7, 10), index=pi)
|
|
|
|
ts = dti[0]
|
|
|
|
assert pi.get_loc(ts) == 0
|
|
assert ser[ts] == 7
|
|
assert ser.loc[ts] == 7
|
|
|
|
ts2 = ts + Timedelta(hours=3)
|
|
if freq == "h":
|
|
with pytest.raises(KeyError, match="2016-01-01 03:00"):
|
|
pi.get_loc(ts2)
|
|
with pytest.raises(KeyError, match="2016-01-01 03:00"):
|
|
ser[ts2]
|
|
with pytest.raises(KeyError, match="2016-01-01 03:00"):
|
|
ser.loc[ts2]
|
|
else:
|
|
assert pi.get_loc(ts2) == 0
|
|
assert ser[ts2] == 7
|
|
assert ser.loc[ts2] == 7
|
|
|
|
|
|
class TestContains:
|
|
def test_contains(self):
|
|
# GH 17717
|
|
p0 = Period("2017-09-01")
|
|
p1 = Period("2017-09-02")
|
|
p2 = Period("2017-09-03")
|
|
p3 = Period("2017-09-04")
|
|
|
|
ps0 = [p0, p1, p2]
|
|
idx0 = PeriodIndex(ps0)
|
|
|
|
for p in ps0:
|
|
assert p in idx0
|
|
assert str(p) in idx0
|
|
|
|
# GH#31172
|
|
# Higher-resolution period-like are _not_ considered as contained
|
|
key = "2017-09-01 00:00:01"
|
|
assert key not in idx0
|
|
with pytest.raises(KeyError, match=key):
|
|
idx0.get_loc(key)
|
|
|
|
assert "2017-09" in idx0
|
|
|
|
assert p3 not in idx0
|
|
|
|
def test_contains_freq_mismatch(self):
|
|
rng = period_range("2007-01", freq="M", periods=10)
|
|
|
|
assert Period("2007-01", freq="M") in rng
|
|
assert Period("2007-01", freq="D") not in rng
|
|
assert Period("2007-01", freq="2M") not in rng
|
|
|
|
def test_contains_nat(self):
|
|
# see gh-13582
|
|
idx = period_range("2007-01", freq="M", periods=10)
|
|
assert NaT not in idx
|
|
assert None not in idx
|
|
assert float("nan") not in idx
|
|
assert np.nan not in idx
|
|
|
|
idx = PeriodIndex(["2011-01", "NaT", "2011-02"], freq="M")
|
|
assert NaT in idx
|
|
assert None in idx
|
|
assert float("nan") in idx
|
|
assert np.nan in idx
|
|
|
|
|
|
class TestAsOfLocs:
|
|
def test_asof_locs_mismatched_type(self):
|
|
dti = date_range("2016-01-01", periods=3)
|
|
pi = dti.to_period("D")
|
|
pi2 = dti.to_period("h")
|
|
|
|
mask = np.array([0, 1, 0], dtype=bool)
|
|
|
|
msg = "must be DatetimeIndex or PeriodIndex"
|
|
with pytest.raises(TypeError, match=msg):
|
|
pi.asof_locs(pd.Index(pi.asi8, dtype=np.int64), mask)
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
pi.asof_locs(pd.Index(pi.asi8, dtype=np.float64), mask)
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
# TimedeltaIndex
|
|
pi.asof_locs(dti - dti, mask)
|
|
|
|
msg = "Input has different freq=h"
|
|
with pytest.raises(libperiod.IncompatibleFrequency, match=msg):
|
|
pi.asof_locs(pi2, mask)
|