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78 lines
2.7 KiB
78 lines
2.7 KiB
import numpy as np
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import pytest
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from pandas import MultiIndex
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import pandas._testing as tm
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def test_isin_nan():
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idx = MultiIndex.from_arrays([["foo", "bar"], [1.0, np.nan]])
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tm.assert_numpy_array_equal(idx.isin([("bar", np.nan)]), np.array([False, True]))
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tm.assert_numpy_array_equal(
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idx.isin([("bar", float("nan"))]), np.array([False, True])
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)
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def test_isin():
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values = [("foo", 2), ("bar", 3), ("quux", 4)]
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idx = MultiIndex.from_arrays([["qux", "baz", "foo", "bar"], np.arange(4)])
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result = idx.isin(values)
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expected = np.array([False, False, True, True])
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tm.assert_numpy_array_equal(result, expected)
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# empty, return dtype bool
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idx = MultiIndex.from_arrays([[], []])
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result = idx.isin(values)
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assert len(result) == 0
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assert result.dtype == np.bool_
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def test_isin_level_kwarg():
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idx = MultiIndex.from_arrays([["qux", "baz", "foo", "bar"], np.arange(4)])
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vals_0 = ["foo", "bar", "quux"]
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vals_1 = [2, 3, 10]
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expected = np.array([False, False, True, True])
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tm.assert_numpy_array_equal(expected, idx.isin(vals_0, level=0))
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tm.assert_numpy_array_equal(expected, idx.isin(vals_0, level=-2))
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tm.assert_numpy_array_equal(expected, idx.isin(vals_1, level=1))
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tm.assert_numpy_array_equal(expected, idx.isin(vals_1, level=-1))
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msg = "Too many levels: Index has only 2 levels, not 6"
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with pytest.raises(IndexError, match=msg):
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idx.isin(vals_0, level=5)
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msg = "Too many levels: Index has only 2 levels, -5 is not a valid level number"
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with pytest.raises(IndexError, match=msg):
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idx.isin(vals_0, level=-5)
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with pytest.raises(KeyError, match=r"'Level 1\.0 not found'"):
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idx.isin(vals_0, level=1.0)
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with pytest.raises(KeyError, match=r"'Level -1\.0 not found'"):
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idx.isin(vals_1, level=-1.0)
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with pytest.raises(KeyError, match="'Level A not found'"):
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idx.isin(vals_1, level="A")
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idx.names = ["A", "B"]
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tm.assert_numpy_array_equal(expected, idx.isin(vals_0, level="A"))
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tm.assert_numpy_array_equal(expected, idx.isin(vals_1, level="B"))
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with pytest.raises(KeyError, match="'Level C not found'"):
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idx.isin(vals_1, level="C")
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@pytest.mark.parametrize(
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"labels,expected,level",
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[
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([("b", np.nan)], np.array([False, False, True]), None),
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([np.nan, "a"], np.array([True, True, False]), 0),
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(["d", np.nan], np.array([False, True, True]), 1),
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],
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)
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def test_isin_multi_index_with_missing_value(labels, expected, level):
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# GH 19132
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midx = MultiIndex.from_arrays([[np.nan, "a", "b"], ["c", "d", np.nan]])
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result = midx.isin(labels, level=level)
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tm.assert_numpy_array_equal(result, expected)
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