aoc-2022/venv/Lib/site-packages/pandas/tests/arithmetic/test_array_ops.py

40 lines
1.0 KiB
Python

import operator
import numpy as np
import pytest
import pandas._testing as tm
from pandas.core.ops.array_ops import (
comparison_op,
na_logical_op,
)
def test_na_logical_op_2d():
left = np.arange(8).reshape(4, 2)
right = left.astype(object)
right[0, 0] = np.nan
# Check that we fall back to the vec_binop branch
with pytest.raises(TypeError, match="unsupported operand type"):
operator.or_(left, right)
result = na_logical_op(left, right, operator.or_)
expected = right
tm.assert_numpy_array_equal(result, expected)
def test_object_comparison_2d():
left = np.arange(9).reshape(3, 3).astype(object)
right = left.T
result = comparison_op(left, right, operator.eq)
expected = np.eye(3).astype(bool)
tm.assert_numpy_array_equal(result, expected)
# Ensure that cython doesn't raise on non-writeable arg, which
# we can get from np.broadcast_to
right.flags.writeable = False
result = comparison_op(left, right, operator.ne)
tm.assert_numpy_array_equal(result, ~expected)