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106 lines
3.1 KiB
106 lines
3.1 KiB
6 months ago
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import numpy as np
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import pytest
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import pandas as pd
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import pandas._testing as tm
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from pandas.api.indexers import check_array_indexer
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@pytest.mark.parametrize(
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"indexer, expected",
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[
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# integer
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([1, 2], np.array([1, 2], dtype=np.intp)),
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(np.array([1, 2], dtype="int64"), np.array([1, 2], dtype=np.intp)),
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(pd.array([1, 2], dtype="Int32"), np.array([1, 2], dtype=np.intp)),
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(pd.Index([1, 2]), np.array([1, 2], dtype=np.intp)),
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# boolean
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([True, False, True], np.array([True, False, True], dtype=np.bool_)),
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(np.array([True, False, True]), np.array([True, False, True], dtype=np.bool_)),
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(
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pd.array([True, False, True], dtype="boolean"),
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np.array([True, False, True], dtype=np.bool_),
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),
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# other
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([], np.array([], dtype=np.intp)),
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],
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)
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def test_valid_input(indexer, expected):
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arr = np.array([1, 2, 3])
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result = check_array_indexer(arr, indexer)
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tm.assert_numpy_array_equal(result, expected)
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@pytest.mark.parametrize(
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"indexer", [[True, False, None], pd.array([True, False, None], dtype="boolean")]
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)
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def test_boolean_na_returns_indexer(indexer):
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# https://github.com/pandas-dev/pandas/issues/31503
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arr = np.array([1, 2, 3])
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result = check_array_indexer(arr, indexer)
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expected = np.array([True, False, False], dtype=bool)
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tm.assert_numpy_array_equal(result, expected)
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@pytest.mark.parametrize(
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"indexer",
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[
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[True, False],
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pd.array([True, False], dtype="boolean"),
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np.array([True, False], dtype=np.bool_),
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],
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)
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def test_bool_raise_length(indexer):
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arr = np.array([1, 2, 3])
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msg = "Boolean index has wrong length"
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with pytest.raises(IndexError, match=msg):
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check_array_indexer(arr, indexer)
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@pytest.mark.parametrize(
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"indexer", [[0, 1, None], pd.array([0, 1, pd.NA], dtype="Int64")]
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)
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def test_int_raise_missing_values(indexer):
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arr = np.array([1, 2, 3])
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msg = "Cannot index with an integer indexer containing NA values"
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with pytest.raises(ValueError, match=msg):
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check_array_indexer(arr, indexer)
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@pytest.mark.parametrize(
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"indexer",
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[
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[0.0, 1.0],
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np.array([1.0, 2.0], dtype="float64"),
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np.array([True, False], dtype=object),
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pd.Index([True, False], dtype=object),
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],
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)
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def test_raise_invalid_array_dtypes(indexer):
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arr = np.array([1, 2, 3])
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msg = "arrays used as indices must be of integer or boolean type"
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with pytest.raises(IndexError, match=msg):
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check_array_indexer(arr, indexer)
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def test_raise_nullable_string_dtype(nullable_string_dtype):
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indexer = pd.array(["a", "b"], dtype=nullable_string_dtype)
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arr = np.array([1, 2, 3])
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msg = "arrays used as indices must be of integer or boolean type"
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with pytest.raises(IndexError, match=msg):
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check_array_indexer(arr, indexer)
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@pytest.mark.parametrize("indexer", [None, Ellipsis, slice(0, 3), (None,)])
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def test_pass_through_non_array_likes(indexer):
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arr = np.array([1, 2, 3])
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result = check_array_indexer(arr, indexer)
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assert result == indexer
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