Inzynierka/Lib/site-packages/pandas/tests/indexes/multi/test_isin.py
2023-06-02 12:51:02 +02:00

104 lines
3.3 KiB
Python

import numpy as np
import pytest
from pandas import MultiIndex
import pandas._testing as tm
def test_isin_nan():
idx = MultiIndex.from_arrays([["foo", "bar"], [1.0, np.nan]])
tm.assert_numpy_array_equal(idx.isin([("bar", np.nan)]), np.array([False, True]))
tm.assert_numpy_array_equal(
idx.isin([("bar", float("nan"))]), np.array([False, True])
)
def test_isin_missing(nulls_fixture):
# GH48905
mi1 = MultiIndex.from_tuples([(1, nulls_fixture)])
mi2 = MultiIndex.from_tuples([(1, 1), (1, 2)])
result = mi2.isin(mi1)
expected = np.array([False, False])
tm.assert_numpy_array_equal(result, expected)
def test_isin():
values = [("foo", 2), ("bar", 3), ("quux", 4)]
idx = MultiIndex.from_arrays([["qux", "baz", "foo", "bar"], np.arange(4)])
result = idx.isin(values)
expected = np.array([False, False, True, True])
tm.assert_numpy_array_equal(result, expected)
# empty, return dtype bool
idx = MultiIndex.from_arrays([[], []])
result = idx.isin(values)
assert len(result) == 0
assert result.dtype == np.bool_
def test_isin_level_kwarg():
idx = MultiIndex.from_arrays([["qux", "baz", "foo", "bar"], np.arange(4)])
vals_0 = ["foo", "bar", "quux"]
vals_1 = [2, 3, 10]
expected = np.array([False, False, True, True])
tm.assert_numpy_array_equal(expected, idx.isin(vals_0, level=0))
tm.assert_numpy_array_equal(expected, idx.isin(vals_0, level=-2))
tm.assert_numpy_array_equal(expected, idx.isin(vals_1, level=1))
tm.assert_numpy_array_equal(expected, idx.isin(vals_1, level=-1))
msg = "Too many levels: Index has only 2 levels, not 6"
with pytest.raises(IndexError, match=msg):
idx.isin(vals_0, level=5)
msg = "Too many levels: Index has only 2 levels, -5 is not a valid level number"
with pytest.raises(IndexError, match=msg):
idx.isin(vals_0, level=-5)
with pytest.raises(KeyError, match=r"'Level 1\.0 not found'"):
idx.isin(vals_0, level=1.0)
with pytest.raises(KeyError, match=r"'Level -1\.0 not found'"):
idx.isin(vals_1, level=-1.0)
with pytest.raises(KeyError, match="'Level A not found'"):
idx.isin(vals_1, level="A")
idx.names = ["A", "B"]
tm.assert_numpy_array_equal(expected, idx.isin(vals_0, level="A"))
tm.assert_numpy_array_equal(expected, idx.isin(vals_1, level="B"))
with pytest.raises(KeyError, match="'Level C not found'"):
idx.isin(vals_1, level="C")
@pytest.mark.parametrize(
"labels,expected,level",
[
([("b", np.nan)], np.array([False, False, True]), None),
([np.nan, "a"], np.array([True, True, False]), 0),
(["d", np.nan], np.array([False, True, True]), 1),
],
)
def test_isin_multi_index_with_missing_value(labels, expected, level):
# GH 19132
midx = MultiIndex.from_arrays([[np.nan, "a", "b"], ["c", "d", np.nan]])
result = midx.isin(labels, level=level)
tm.assert_numpy_array_equal(result, expected)
def test_isin_empty():
# GH#51599
midx = MultiIndex.from_arrays([[1, 2], [3, 4]])
result = midx.isin([])
expected = np.array([False, False])
tm.assert_numpy_array_equal(result, expected)
def test_isin_generator():
# GH#52568
midx = MultiIndex.from_tuples([(1, 2)])
result = midx.isin(x for x in [(1, 2)])
expected = np.array([True])
tm.assert_numpy_array_equal(result, expected)