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540 lines
17 KiB
540 lines
17 KiB
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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CategoricalIndex,
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Index,
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IntervalIndex,
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MultiIndex,
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Series,
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)
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import pandas._testing as tm
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@pytest.mark.parametrize("case", [0.5, "xxx"])
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@pytest.mark.parametrize(
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"method", ["intersection", "union", "difference", "symmetric_difference"]
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)
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def test_set_ops_error_cases(idx, case, sort, method):
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# non-iterable input
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msg = "Input must be Index or array-like"
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with pytest.raises(TypeError, match=msg):
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getattr(idx, method)(case, sort=sort)
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@pytest.mark.parametrize("klass", [MultiIndex, np.array, Series, list])
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def test_intersection_base(idx, sort, klass):
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first = idx[2::-1] # first 3 elements reversed
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second = idx[:5]
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if klass is not MultiIndex:
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second = klass(second.values)
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intersect = first.intersection(second, sort=sort)
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if sort is None:
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expected = first.sort_values()
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else:
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expected = first
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tm.assert_index_equal(intersect, expected)
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msg = "other must be a MultiIndex or a list of tuples"
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with pytest.raises(TypeError, match=msg):
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first.intersection([1, 2, 3], sort=sort)
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@pytest.mark.arm_slow
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@pytest.mark.parametrize("klass", [MultiIndex, np.array, Series, list])
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def test_union_base(idx, sort, klass):
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first = idx[::-1]
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second = idx[:5]
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if klass is not MultiIndex:
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second = klass(second.values)
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union = first.union(second, sort=sort)
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if sort is None:
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expected = first.sort_values()
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else:
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expected = first
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tm.assert_index_equal(union, expected)
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msg = "other must be a MultiIndex or a list of tuples"
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with pytest.raises(TypeError, match=msg):
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first.union([1, 2, 3], sort=sort)
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def test_difference_base(idx, sort):
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second = idx[4:]
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answer = idx[:4]
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result = idx.difference(second, sort=sort)
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if sort is None:
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answer = answer.sort_values()
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assert result.equals(answer)
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tm.assert_index_equal(result, answer)
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# GH 10149
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cases = [klass(second.values) for klass in [np.array, Series, list]]
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for case in cases:
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result = idx.difference(case, sort=sort)
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tm.assert_index_equal(result, answer)
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msg = "other must be a MultiIndex or a list of tuples"
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with pytest.raises(TypeError, match=msg):
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idx.difference([1, 2, 3], sort=sort)
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def test_symmetric_difference(idx, sort):
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first = idx[1:]
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second = idx[:-1]
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answer = idx[[-1, 0]]
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result = first.symmetric_difference(second, sort=sort)
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if sort is None:
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answer = answer.sort_values()
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tm.assert_index_equal(result, answer)
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# GH 10149
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cases = [klass(second.values) for klass in [np.array, Series, list]]
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for case in cases:
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result = first.symmetric_difference(case, sort=sort)
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tm.assert_index_equal(result, answer)
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msg = "other must be a MultiIndex or a list of tuples"
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with pytest.raises(TypeError, match=msg):
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first.symmetric_difference([1, 2, 3], sort=sort)
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def test_multiindex_symmetric_difference():
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# GH 13490
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idx = MultiIndex.from_product([["a", "b"], ["A", "B"]], names=["a", "b"])
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with tm.assert_produces_warning(FutureWarning):
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result = idx ^ idx
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assert result.names == idx.names
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idx2 = idx.copy().rename(["A", "B"])
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with tm.assert_produces_warning(FutureWarning):
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result = idx ^ idx2
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assert result.names == [None, None]
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def test_empty(idx):
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# GH 15270
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assert not idx.empty
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assert idx[:0].empty
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def test_difference(idx, sort):
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first = idx
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result = first.difference(idx[-3:], sort=sort)
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vals = idx[:-3].values
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if sort is None:
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vals = sorted(vals)
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expected = MultiIndex.from_tuples(vals, sortorder=0, names=idx.names)
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assert isinstance(result, MultiIndex)
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assert result.equals(expected)
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assert result.names == idx.names
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tm.assert_index_equal(result, expected)
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# empty difference: reflexive
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result = idx.difference(idx, sort=sort)
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expected = idx[:0]
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assert result.equals(expected)
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assert result.names == idx.names
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# empty difference: superset
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result = idx[-3:].difference(idx, sort=sort)
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expected = idx[:0]
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assert result.equals(expected)
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assert result.names == idx.names
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# empty difference: degenerate
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result = idx[:0].difference(idx, sort=sort)
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expected = idx[:0]
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assert result.equals(expected)
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assert result.names == idx.names
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# names not the same
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chunklet = idx[-3:]
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chunklet.names = ["foo", "baz"]
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result = first.difference(chunklet, sort=sort)
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assert result.names == (None, None)
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# empty, but non-equal
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result = idx.difference(idx.sortlevel(1)[0], sort=sort)
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assert len(result) == 0
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# raise Exception called with non-MultiIndex
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result = first.difference(first.values, sort=sort)
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assert result.equals(first[:0])
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# name from empty array
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result = first.difference([], sort=sort)
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assert first.equals(result)
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assert first.names == result.names
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# name from non-empty array
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result = first.difference([("foo", "one")], sort=sort)
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expected = MultiIndex.from_tuples(
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[("bar", "one"), ("baz", "two"), ("foo", "two"), ("qux", "one"), ("qux", "two")]
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)
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expected.names = first.names
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assert first.names == result.names
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msg = "other must be a MultiIndex or a list of tuples"
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with pytest.raises(TypeError, match=msg):
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first.difference([1, 2, 3, 4, 5], sort=sort)
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def test_difference_sort_special():
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# GH-24959
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idx = MultiIndex.from_product([[1, 0], ["a", "b"]])
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# sort=None, the default
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result = idx.difference([])
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tm.assert_index_equal(result, idx)
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@pytest.mark.xfail(reason="Not implemented.")
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def test_difference_sort_special_true():
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# TODO(GH#25151): decide on True behaviour
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idx = MultiIndex.from_product([[1, 0], ["a", "b"]])
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result = idx.difference([], sort=True)
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expected = MultiIndex.from_product([[0, 1], ["a", "b"]])
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tm.assert_index_equal(result, expected)
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def test_difference_sort_incomparable():
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# GH-24959
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idx = MultiIndex.from_product([[1, pd.Timestamp("2000"), 2], ["a", "b"]])
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other = MultiIndex.from_product([[3, pd.Timestamp("2000"), 4], ["c", "d"]])
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# sort=None, the default
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msg = "sort order is undefined for incomparable objects"
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with tm.assert_produces_warning(RuntimeWarning, match=msg):
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result = idx.difference(other)
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tm.assert_index_equal(result, idx)
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# sort=False
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result = idx.difference(other, sort=False)
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tm.assert_index_equal(result, idx)
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def test_difference_sort_incomparable_true():
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idx = MultiIndex.from_product([[1, pd.Timestamp("2000"), 2], ["a", "b"]])
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other = MultiIndex.from_product([[3, pd.Timestamp("2000"), 4], ["c", "d"]])
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msg = "The 'sort' keyword only takes the values of None or False; True was passed."
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with pytest.raises(ValueError, match=msg):
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idx.difference(other, sort=True)
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def test_union(idx, sort):
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piece1 = idx[:5][::-1]
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piece2 = idx[3:]
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the_union = piece1.union(piece2, sort=sort)
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if sort is None:
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tm.assert_index_equal(the_union, idx.sort_values())
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assert tm.equalContents(the_union, idx)
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# corner case, pass self or empty thing:
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the_union = idx.union(idx, sort=sort)
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tm.assert_index_equal(the_union, idx)
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the_union = idx.union(idx[:0], sort=sort)
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tm.assert_index_equal(the_union, idx)
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tuples = idx.values
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result = idx[:4].union(tuples[4:], sort=sort)
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if sort is None:
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tm.equalContents(result, idx)
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else:
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assert result.equals(idx)
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@pytest.mark.xfail(
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# This test was commented out from Oct 2011 to Dec 2021, may no longer
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# be relevant.
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reason="Length of names must match number of levels in MultiIndex",
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raises=ValueError,
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)
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def test_union_with_regular_index(idx):
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other = Index(["A", "B", "C"])
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result = other.union(idx)
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assert ("foo", "one") in result
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assert "B" in result
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msg = "The values in the array are unorderable"
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with tm.assert_produces_warning(RuntimeWarning, match=msg):
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result2 = idx.union(other)
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assert result.equals(result2)
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def test_intersection(idx, sort):
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piece1 = idx[:5][::-1]
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piece2 = idx[3:]
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the_int = piece1.intersection(piece2, sort=sort)
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if sort is None:
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tm.assert_index_equal(the_int, idx[3:5])
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assert tm.equalContents(the_int, idx[3:5])
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# corner case, pass self
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the_int = idx.intersection(idx, sort=sort)
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tm.assert_index_equal(the_int, idx)
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# empty intersection: disjoint
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empty = idx[:2].intersection(idx[2:], sort=sort)
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expected = idx[:0]
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assert empty.equals(expected)
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tuples = idx.values
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result = idx.intersection(tuples)
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assert result.equals(idx)
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@pytest.mark.parametrize(
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"method", ["intersection", "union", "difference", "symmetric_difference"]
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)
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def test_setop_with_categorical(idx, sort, method):
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other = idx.to_flat_index().astype("category")
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res_names = [None] * idx.nlevels
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result = getattr(idx, method)(other, sort=sort)
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expected = getattr(idx, method)(idx, sort=sort).rename(res_names)
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tm.assert_index_equal(result, expected)
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result = getattr(idx, method)(other[:5], sort=sort)
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expected = getattr(idx, method)(idx[:5], sort=sort).rename(res_names)
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tm.assert_index_equal(result, expected)
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def test_intersection_non_object(idx, sort):
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other = Index(range(3), name="foo")
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result = idx.intersection(other, sort=sort)
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expected = MultiIndex(levels=idx.levels, codes=[[]] * idx.nlevels, names=None)
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tm.assert_index_equal(result, expected, exact=True)
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# if we pass a length-0 ndarray (i.e. no name, we retain our idx.name)
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result = idx.intersection(np.asarray(other)[:0], sort=sort)
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expected = MultiIndex(levels=idx.levels, codes=[[]] * idx.nlevels, names=idx.names)
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tm.assert_index_equal(result, expected, exact=True)
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msg = "other must be a MultiIndex or a list of tuples"
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with pytest.raises(TypeError, match=msg):
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# With non-zero length non-index, we try and fail to convert to tuples
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idx.intersection(np.asarray(other), sort=sort)
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def test_intersect_equal_sort():
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# GH-24959
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idx = MultiIndex.from_product([[1, 0], ["a", "b"]])
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tm.assert_index_equal(idx.intersection(idx, sort=False), idx)
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tm.assert_index_equal(idx.intersection(idx, sort=None), idx)
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@pytest.mark.xfail(reason="Not implemented.")
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def test_intersect_equal_sort_true():
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# TODO(GH#25151): decide on True behaviour
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idx = MultiIndex.from_product([[1, 0], ["a", "b"]])
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sorted_ = MultiIndex.from_product([[0, 1], ["a", "b"]])
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tm.assert_index_equal(idx.intersection(idx, sort=True), sorted_)
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@pytest.mark.parametrize("slice_", [slice(None), slice(0)])
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def test_union_sort_other_empty(slice_):
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# https://github.com/pandas-dev/pandas/issues/24959
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idx = MultiIndex.from_product([[1, 0], ["a", "b"]])
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# default, sort=None
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other = idx[slice_]
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tm.assert_index_equal(idx.union(other), idx)
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tm.assert_index_equal(other.union(idx), idx)
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# sort=False
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tm.assert_index_equal(idx.union(other, sort=False), idx)
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@pytest.mark.xfail(reason="Not implemented.")
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def test_union_sort_other_empty_sort(slice_):
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# TODO(GH#25151): decide on True behaviour
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# # sort=True
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idx = MultiIndex.from_product([[1, 0], ["a", "b"]])
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other = idx[:0]
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result = idx.union(other, sort=True)
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expected = MultiIndex.from_product([[0, 1], ["a", "b"]])
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tm.assert_index_equal(result, expected)
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def test_union_sort_other_incomparable():
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# https://github.com/pandas-dev/pandas/issues/24959
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idx = MultiIndex.from_product([[1, pd.Timestamp("2000")], ["a", "b"]])
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# default, sort=None
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with tm.assert_produces_warning(RuntimeWarning):
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result = idx.union(idx[:1])
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tm.assert_index_equal(result, idx)
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# sort=False
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result = idx.union(idx[:1], sort=False)
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tm.assert_index_equal(result, idx)
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@pytest.mark.xfail(reason="Not implemented.")
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def test_union_sort_other_incomparable_sort():
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# TODO(GH#25151): decide on True behaviour
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# # sort=True
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idx = MultiIndex.from_product([[1, pd.Timestamp("2000")], ["a", "b"]])
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with pytest.raises(TypeError, match="Cannot compare"):
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idx.union(idx[:1], sort=True)
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def test_union_non_object_dtype_raises():
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# GH#32646 raise NotImplementedError instead of less-informative error
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mi = MultiIndex.from_product([["a", "b"], [1, 2]])
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idx = mi.levels[1]
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msg = "Can only union MultiIndex with MultiIndex or Index of tuples"
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with pytest.raises(NotImplementedError, match=msg):
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mi.union(idx)
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def test_union_empty_self_different_names():
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# GH#38423
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mi = MultiIndex.from_arrays([[]])
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mi2 = MultiIndex.from_arrays([[1, 2], [3, 4]], names=["a", "b"])
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result = mi.union(mi2)
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expected = MultiIndex.from_arrays([[1, 2], [3, 4]])
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tm.assert_index_equal(result, expected)
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def test_union_multiindex_empty_rangeindex():
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# GH#41234
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mi = MultiIndex.from_arrays([[1, 2], [3, 4]], names=["a", "b"])
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ri = pd.RangeIndex(0)
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result_left = mi.union(ri)
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tm.assert_index_equal(mi, result_left, check_names=False)
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result_right = ri.union(mi)
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tm.assert_index_equal(mi, result_right, check_names=False)
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@pytest.mark.parametrize(
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"method", ["union", "intersection", "difference", "symmetric_difference"]
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)
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def test_setops_disallow_true(method):
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idx1 = MultiIndex.from_product([["a", "b"], [1, 2]])
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idx2 = MultiIndex.from_product([["b", "c"], [1, 2]])
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with pytest.raises(ValueError, match="The 'sort' keyword only takes"):
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getattr(idx1, method)(idx2, sort=True)
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@pytest.mark.parametrize(
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("tuples", "exp_tuples"),
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[
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([("val1", "test1")], [("val1", "test1")]),
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([("val1", "test1"), ("val1", "test1")], [("val1", "test1")]),
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(
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[("val2", "test2"), ("val1", "test1")],
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[("val2", "test2"), ("val1", "test1")],
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),
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],
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)
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def test_intersect_with_duplicates(tuples, exp_tuples):
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# GH#36915
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left = MultiIndex.from_tuples(tuples, names=["first", "second"])
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right = MultiIndex.from_tuples(
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[("val1", "test1"), ("val1", "test1"), ("val2", "test2")],
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names=["first", "second"],
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)
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result = left.intersection(right)
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expected = MultiIndex.from_tuples(exp_tuples, names=["first", "second"])
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tm.assert_index_equal(result, expected)
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@pytest.mark.parametrize(
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"data, names, expected",
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[
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((1,), None, [None, None]),
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((1,), ["a"], [None, None]),
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((1,), ["b"], [None, None]),
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((1, 2), ["c", "d"], [None, None]),
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((1, 2), ["b", "a"], [None, None]),
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((1, 2, 3), ["a", "b", "c"], [None, None]),
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((1, 2), ["a", "c"], ["a", None]),
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((1, 2), ["c", "b"], [None, "b"]),
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((1, 2), ["a", "b"], ["a", "b"]),
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((1, 2), [None, "b"], [None, "b"]),
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],
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)
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def test_maybe_match_names(data, names, expected):
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# GH#38323
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mi = MultiIndex.from_tuples([], names=["a", "b"])
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mi2 = MultiIndex.from_tuples([data], names=names)
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result = mi._maybe_match_names(mi2)
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assert result == expected
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def test_intersection_equal_different_names():
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# GH#30302
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mi1 = MultiIndex.from_arrays([[1, 2], [3, 4]], names=["c", "b"])
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mi2 = MultiIndex.from_arrays([[1, 2], [3, 4]], names=["a", "b"])
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result = mi1.intersection(mi2)
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expected = MultiIndex.from_arrays([[1, 2], [3, 4]], names=[None, "b"])
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tm.assert_index_equal(result, expected)
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def test_intersection_different_names():
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# GH#38323
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mi = MultiIndex.from_arrays([[1], [3]], names=["c", "b"])
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mi2 = MultiIndex.from_arrays([[1], [3]])
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result = mi.intersection(mi2)
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tm.assert_index_equal(result, mi2)
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|
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def test_intersection_with_missing_values_on_both_sides(nulls_fixture):
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# GH#38623
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mi1 = MultiIndex.from_arrays([[3, nulls_fixture, 4, nulls_fixture], [1, 2, 4, 2]])
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mi2 = MultiIndex.from_arrays([[3, nulls_fixture, 3], [1, 2, 4]])
|
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result = mi1.intersection(mi2)
|
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expected = MultiIndex.from_arrays([[3.0, nulls_fixture], [1, 2]])
|
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tm.assert_index_equal(result, expected)
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|
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def test_union_nan_got_duplicated():
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# GH#38977
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mi1 = MultiIndex.from_arrays([[1.0, np.nan], [2, 3]])
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mi2 = MultiIndex.from_arrays([[1.0, np.nan, 3.0], [2, 3, 4]])
|
|
result = mi1.union(mi2)
|
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tm.assert_index_equal(result, mi2)
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def test_union_duplicates(index):
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# GH#38977
|
|
if index.empty or isinstance(index, (IntervalIndex, CategoricalIndex)):
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# No duplicates in empty indexes
|
|
return
|
|
values = index.unique().values.tolist()
|
|
mi1 = MultiIndex.from_arrays([values, [1] * len(values)])
|
|
mi2 = MultiIndex.from_arrays([[values[0]] + values, [1] * (len(values) + 1)])
|
|
result = mi1.union(mi2)
|
|
tm.assert_index_equal(result, mi2.sort_values())
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|
|
|
result = mi2.union(mi1)
|
|
tm.assert_index_equal(result, mi2.sort_values())
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