FM / indexing

/usr/local/lib64/python3.6/site-packages/pandas/tests/indexing/

/usr/local/lib64/python3.6/site-packages/pandas/tests/indexing

Name	Size	Mode	Actions
interval/	-	0755	rm
multiindex/	-	0755	rm
__pycache__/	-	0755	rm
common.py	5264	0644	edit dl rm
test_callable.py	8529	0644	edit dl rm
test_categorical.py	28955	0644	edit dl rm
test_chaining_and_caching.py	13074	0644	edit dl rm
test_check_indexer.py	2917	0644	edit dl rm
test_coercion.py	38188	0644	edit dl rm
test_datetime.py	12717	0644	edit dl rm
test_floats.py	24435	0644	edit dl rm
test_iloc.py	25549	0644	edit dl rm
test_indexers.py	1517	0644	edit dl rm
test_indexing.py	37471	0644	edit dl rm
test_indexing_slow.py	418	0644	edit dl rm
test_loc.py	36948	0644	edit dl rm
test_na_indexing.py	2817	0644	edit dl rm
test_partial.py	24715	0644	edit dl rm
test_scalar.py	13259	0644	edit dl rm
test_timedelta.py	4128	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/indexing/test_check_indexer.py (2917B)

import numpy as np
import pytest

import pandas as pd
import pandas._testing as tm
from pandas.api.indexers import check_array_indexer

@pytest.mark.parametrize(
    "indexer, expected",
    [
        # integer
        ([1, 2], np.array([1, 2], dtype=np.intp)),
        (np.array([1, 2], dtype="int64"), np.array([1, 2], dtype=np.intp)),
        (pd.array([1, 2], dtype="Int32"), np.array([1, 2], dtype=np.intp)),
        (pd.Index([1, 2]), np.array([1, 2], dtype=np.intp)),
        # boolean
        ([True, False, True], np.array([True, False, True], dtype=np.bool_)),
        (np.array([True, False, True]), np.array([True, False, True], dtype=np.bool_)),
        (
            pd.array([True, False, True], dtype="boolean"),
            np.array([True, False, True], dtype=np.bool_),
        ),
        # other
        ([], np.array([], dtype=np.intp)),
    ],
)
def test_valid_input(indexer, expected):
    array = np.array([1, 2, 3])
    result = check_array_indexer(array, indexer)
    tm.assert_numpy_array_equal(result, expected)

@pytest.mark.parametrize(
    "indexer", [[True, False, None], pd.array([True, False, None], dtype="boolean")],
)
def test_boolean_na_returns_indexer(indexer):
    # https://github.com/pandas-dev/pandas/issues/31503
    arr = np.array([1, 2, 3])

result = check_array_indexer(arr, indexer)
    expected = np.array([True, False, False], dtype=bool)

tm.assert_numpy_array_equal(result, expected)

@pytest.mark.parametrize(
    "indexer",
    [
        [True, False],
        pd.array([True, False], dtype="boolean"),
        np.array([True, False], dtype=np.bool_),
    ],
)
def test_bool_raise_length(indexer):
    array = np.array([1, 2, 3])

msg = "Boolean index has wrong length"
    with pytest.raises(IndexError, match=msg):
        check_array_indexer(array, indexer)

@pytest.mark.parametrize(
    "indexer", [[0, 1, None], pd.array([0, 1, pd.NA], dtype="Int64")],
)
def test_int_raise_missing_values(indexer):
    array = np.array([1, 2, 3])

msg = "Cannot index with an integer indexer containing NA values"
    with pytest.raises(ValueError, match=msg):
        check_array_indexer(array, indexer)

@pytest.mark.parametrize(
    "indexer",
    [
        [0.0, 1.0],
        np.array([1.0, 2.0], dtype="float64"),
        np.array([True, False], dtype=object),
        pd.Index([True, False], dtype=object),
        pd.array(["a", "b"], dtype="string"),
    ],
)
def test_raise_invalid_array_dtypes(indexer):
    array = np.array([1, 2, 3])

msg = "arrays used as indices must be of integer or boolean type"
    with pytest.raises(IndexError, match=msg):
        check_array_indexer(array, indexer)

@pytest.mark.parametrize(
    "indexer", [None, Ellipsis, slice(0, 3), (None,)],
)
def test_pass_through_non_array_likes(indexer):
    array = np.array([1, 2, 3])

result = check_array_indexer(array, indexer)
    assert result == indexer

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