360 lines
12 KiB
Python
360 lines
12 KiB
Python
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import numpy as np
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import pandas as pd
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from pandas import (
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PeriodIndex,
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date_range,
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period_range,
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)
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import pandas._testing as tm
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def _permute(obj):
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return obj.take(np.random.permutation(len(obj)))
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class TestPeriodIndex:
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def test_union(self, sort):
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# union
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other1 = period_range("1/1/2000", freq="D", periods=5)
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rng1 = period_range("1/6/2000", freq="D", periods=5)
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expected1 = PeriodIndex(
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[
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"2000-01-06",
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"2000-01-07",
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"2000-01-08",
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"2000-01-09",
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"2000-01-10",
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"2000-01-01",
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"2000-01-02",
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"2000-01-03",
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"2000-01-04",
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"2000-01-05",
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],
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freq="D",
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)
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rng2 = period_range("1/1/2000", freq="D", periods=5)
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other2 = period_range("1/4/2000", freq="D", periods=5)
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expected2 = period_range("1/1/2000", freq="D", periods=8)
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rng3 = period_range("1/1/2000", freq="D", periods=5)
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other3 = PeriodIndex([], freq="D")
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expected3 = period_range("1/1/2000", freq="D", periods=5)
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rng4 = period_range("2000-01-01 09:00", freq="H", periods=5)
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other4 = period_range("2000-01-02 09:00", freq="H", periods=5)
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expected4 = PeriodIndex(
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[
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"2000-01-01 09:00",
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"2000-01-01 10:00",
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"2000-01-01 11:00",
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"2000-01-01 12:00",
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"2000-01-01 13:00",
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"2000-01-02 09:00",
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"2000-01-02 10:00",
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"2000-01-02 11:00",
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"2000-01-02 12:00",
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"2000-01-02 13:00",
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],
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freq="H",
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)
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rng5 = PeriodIndex(
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["2000-01-01 09:01", "2000-01-01 09:03", "2000-01-01 09:05"], freq="T"
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)
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other5 = PeriodIndex(
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["2000-01-01 09:01", "2000-01-01 09:05", "2000-01-01 09:08"], freq="T"
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)
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expected5 = PeriodIndex(
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[
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"2000-01-01 09:01",
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"2000-01-01 09:03",
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"2000-01-01 09:05",
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"2000-01-01 09:08",
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],
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freq="T",
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)
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rng6 = period_range("2000-01-01", freq="M", periods=7)
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other6 = period_range("2000-04-01", freq="M", periods=7)
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expected6 = period_range("2000-01-01", freq="M", periods=10)
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rng7 = period_range("2003-01-01", freq="A", periods=5)
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other7 = period_range("1998-01-01", freq="A", periods=8)
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expected7 = PeriodIndex(
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[
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"2003",
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"2004",
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"2005",
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"2006",
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"2007",
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"1998",
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"1999",
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"2000",
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"2001",
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"2002",
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],
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freq="A",
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)
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rng8 = PeriodIndex(
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["1/3/2000", "1/2/2000", "1/1/2000", "1/5/2000", "1/4/2000"], freq="D"
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)
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other8 = period_range("1/6/2000", freq="D", periods=5)
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expected8 = PeriodIndex(
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[
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"1/3/2000",
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"1/2/2000",
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"1/1/2000",
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"1/5/2000",
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"1/4/2000",
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"1/6/2000",
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"1/7/2000",
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"1/8/2000",
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"1/9/2000",
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"1/10/2000",
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],
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freq="D",
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)
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for rng, other, expected in [
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(rng1, other1, expected1),
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(rng2, other2, expected2),
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(rng3, other3, expected3),
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(rng4, other4, expected4),
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(rng5, other5, expected5),
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(rng6, other6, expected6),
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(rng7, other7, expected7),
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(rng8, other8, expected8),
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]:
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result_union = rng.union(other, sort=sort)
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if sort is None:
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expected = expected.sort_values()
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tm.assert_index_equal(result_union, expected)
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def test_union_misc(self, sort):
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index = period_range("1/1/2000", "1/20/2000", freq="D")
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result = index[:-5].union(index[10:], sort=sort)
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tm.assert_index_equal(result, index)
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# not in order
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result = _permute(index[:-5]).union(_permute(index[10:]), sort=sort)
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if sort is None:
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tm.assert_index_equal(result, index)
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assert tm.equalContents(result, index)
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# cast if different frequencies
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index = period_range("1/1/2000", "1/20/2000", freq="D")
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index2 = period_range("1/1/2000", "1/20/2000", freq="W-WED")
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result = index.union(index2, sort=sort)
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expected = index.astype(object).union(index2.astype(object), sort=sort)
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tm.assert_index_equal(result, expected)
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def test_intersection(self, sort):
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index = period_range("1/1/2000", "1/20/2000", freq="D")
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result = index[:-5].intersection(index[10:], sort=sort)
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tm.assert_index_equal(result, index[10:-5])
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# not in order
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left = _permute(index[:-5])
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right = _permute(index[10:])
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result = left.intersection(right, sort=sort)
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if sort is None:
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tm.assert_index_equal(result, index[10:-5])
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assert tm.equalContents(result, index[10:-5])
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# cast if different frequencies
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index = period_range("1/1/2000", "1/20/2000", freq="D")
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index2 = period_range("1/1/2000", "1/20/2000", freq="W-WED")
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result = index.intersection(index2, sort=sort)
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expected = pd.Index([], dtype=object)
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tm.assert_index_equal(result, expected)
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index3 = period_range("1/1/2000", "1/20/2000", freq="2D")
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result = index.intersection(index3, sort=sort)
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tm.assert_index_equal(result, expected)
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def test_intersection_cases(self, sort):
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base = period_range("6/1/2000", "6/30/2000", freq="D", name="idx")
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# if target has the same name, it is preserved
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rng2 = period_range("5/15/2000", "6/20/2000", freq="D", name="idx")
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expected2 = period_range("6/1/2000", "6/20/2000", freq="D", name="idx")
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# if target name is different, it will be reset
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rng3 = period_range("5/15/2000", "6/20/2000", freq="D", name="other")
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expected3 = period_range("6/1/2000", "6/20/2000", freq="D", name=None)
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rng4 = period_range("7/1/2000", "7/31/2000", freq="D", name="idx")
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expected4 = PeriodIndex([], name="idx", freq="D")
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for rng, expected in [
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(rng2, expected2),
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(rng3, expected3),
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(rng4, expected4),
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]:
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result = base.intersection(rng, sort=sort)
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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assert result.freq == expected.freq
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# non-monotonic
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base = PeriodIndex(
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["2011-01-05", "2011-01-04", "2011-01-02", "2011-01-03"],
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freq="D",
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name="idx",
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)
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rng2 = PeriodIndex(
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["2011-01-04", "2011-01-02", "2011-02-02", "2011-02-03"],
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freq="D",
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name="idx",
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)
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expected2 = PeriodIndex(["2011-01-04", "2011-01-02"], freq="D", name="idx")
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rng3 = PeriodIndex(
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["2011-01-04", "2011-01-02", "2011-02-02", "2011-02-03"],
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freq="D",
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name="other",
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)
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expected3 = PeriodIndex(["2011-01-04", "2011-01-02"], freq="D", name=None)
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rng4 = period_range("7/1/2000", "7/31/2000", freq="D", name="idx")
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expected4 = PeriodIndex([], freq="D", name="idx")
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for rng, expected in [
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(rng2, expected2),
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(rng3, expected3),
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(rng4, expected4),
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]:
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result = base.intersection(rng, sort=sort)
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if sort is None:
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expected = expected.sort_values()
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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assert result.freq == "D"
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# empty same freq
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rng = date_range("6/1/2000", "6/15/2000", freq="T")
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result = rng[0:0].intersection(rng)
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assert len(result) == 0
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result = rng.intersection(rng[0:0])
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assert len(result) == 0
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def test_difference(self, sort):
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# diff
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period_rng = ["1/3/2000", "1/2/2000", "1/1/2000", "1/5/2000", "1/4/2000"]
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rng1 = PeriodIndex(period_rng, freq="D")
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other1 = period_range("1/6/2000", freq="D", periods=5)
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expected1 = rng1
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rng2 = PeriodIndex(period_rng, freq="D")
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other2 = period_range("1/4/2000", freq="D", periods=5)
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expected2 = PeriodIndex(["1/3/2000", "1/2/2000", "1/1/2000"], freq="D")
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rng3 = PeriodIndex(period_rng, freq="D")
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other3 = PeriodIndex([], freq="D")
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expected3 = rng3
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period_rng = [
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"2000-01-01 10:00",
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"2000-01-01 09:00",
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"2000-01-01 12:00",
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"2000-01-01 11:00",
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"2000-01-01 13:00",
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]
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rng4 = PeriodIndex(period_rng, freq="H")
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other4 = period_range("2000-01-02 09:00", freq="H", periods=5)
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expected4 = rng4
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rng5 = PeriodIndex(
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["2000-01-01 09:03", "2000-01-01 09:01", "2000-01-01 09:05"], freq="T"
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)
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other5 = PeriodIndex(["2000-01-01 09:01", "2000-01-01 09:05"], freq="T")
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expected5 = PeriodIndex(["2000-01-01 09:03"], freq="T")
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period_rng = [
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"2000-02-01",
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"2000-01-01",
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"2000-06-01",
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"2000-07-01",
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"2000-05-01",
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"2000-03-01",
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"2000-04-01",
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]
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rng6 = PeriodIndex(period_rng, freq="M")
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other6 = period_range("2000-04-01", freq="M", periods=7)
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expected6 = PeriodIndex(["2000-02-01", "2000-01-01", "2000-03-01"], freq="M")
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period_rng = ["2003", "2007", "2006", "2005", "2004"]
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rng7 = PeriodIndex(period_rng, freq="A")
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other7 = period_range("1998-01-01", freq="A", periods=8)
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expected7 = PeriodIndex(["2007", "2006"], freq="A")
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for rng, other, expected in [
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(rng1, other1, expected1),
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(rng2, other2, expected2),
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(rng3, other3, expected3),
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(rng4, other4, expected4),
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(rng5, other5, expected5),
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(rng6, other6, expected6),
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(rng7, other7, expected7),
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]:
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result_difference = rng.difference(other, sort=sort)
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if sort is None and len(other):
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# We dont sort (yet?) when empty GH#24959
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expected = expected.sort_values()
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tm.assert_index_equal(result_difference, expected)
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def test_difference_freq(self, sort):
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# GH14323: difference of Period MUST preserve frequency
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# but the ability to union results must be preserved
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index = period_range("20160920", "20160925", freq="D")
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other = period_range("20160921", "20160924", freq="D")
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expected = PeriodIndex(["20160920", "20160925"], freq="D")
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idx_diff = index.difference(other, sort)
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tm.assert_index_equal(idx_diff, expected)
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tm.assert_attr_equal("freq", idx_diff, expected)
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other = period_range("20160922", "20160925", freq="D")
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idx_diff = index.difference(other, sort)
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expected = PeriodIndex(["20160920", "20160921"], freq="D")
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tm.assert_index_equal(idx_diff, expected)
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tm.assert_attr_equal("freq", idx_diff, expected)
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def test_intersection_equal_duplicates(self):
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# GH#38302
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idx = period_range("2011-01-01", periods=2)
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idx_dup = idx.append(idx)
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result = idx_dup.intersection(idx_dup)
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tm.assert_index_equal(result, idx)
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def test_union_duplicates(self):
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# GH#36289
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idx = period_range("2011-01-01", periods=2)
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idx_dup = idx.append(idx)
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idx2 = period_range("2011-01-02", periods=2)
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idx2_dup = idx2.append(idx2)
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result = idx_dup.union(idx2_dup)
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|
|
expected = PeriodIndex(
|
||
|
|
[
|
||
|
|
"2011-01-01",
|
||
|
|
"2011-01-01",
|
||
|
|
"2011-01-02",
|
||
|
|
"2011-01-02",
|
||
|
|
"2011-01-03",
|
||
|
|
"2011-01-03",
|
||
|
|
],
|
||
|
|
freq="D",
|
||
|
|
)
|
||
|
|
tm.assert_index_equal(result, expected)
|