ai-content-maker/.venv/Lib/site-packages/pandas/tests/arrays/sparse/test_unary.py

73 lines
2.5 KiB
Python

import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import SparseArray
@pytest.mark.parametrize("fill_value", [0, np.nan])
@pytest.mark.parametrize("op", [operator.pos, operator.neg])
def test_unary_op(op, fill_value):
arr = np.array([0, 1, np.nan, 2])
sparray = SparseArray(arr, fill_value=fill_value)
result = op(sparray)
expected = SparseArray(op(arr), fill_value=op(fill_value))
tm.assert_sp_array_equal(result, expected)
@pytest.mark.parametrize("fill_value", [True, False])
def test_invert(fill_value):
arr = np.array([True, False, False, True])
sparray = SparseArray(arr, fill_value=fill_value)
result = ~sparray
expected = SparseArray(~arr, fill_value=not fill_value)
tm.assert_sp_array_equal(result, expected)
result = ~pd.Series(sparray)
expected = pd.Series(expected)
tm.assert_series_equal(result, expected)
result = ~pd.DataFrame({"A": sparray})
expected = pd.DataFrame({"A": expected})
tm.assert_frame_equal(result, expected)
class TestUnaryMethods:
def test_neg_operator(self):
arr = SparseArray([-1, -2, np.nan, 3], fill_value=np.nan, dtype=np.int8)
res = -arr
exp = SparseArray([1, 2, np.nan, -3], fill_value=np.nan, dtype=np.int8)
tm.assert_sp_array_equal(exp, res)
arr = SparseArray([-1, -2, 1, 3], fill_value=-1, dtype=np.int8)
res = -arr
exp = SparseArray([1, 2, -1, -3], fill_value=1, dtype=np.int8)
tm.assert_sp_array_equal(exp, res)
def test_abs_operator(self):
arr = SparseArray([-1, -2, np.nan, 3], fill_value=np.nan, dtype=np.int8)
res = abs(arr)
exp = SparseArray([1, 2, np.nan, 3], fill_value=np.nan, dtype=np.int8)
tm.assert_sp_array_equal(exp, res)
arr = SparseArray([-1, -2, 1, 3], fill_value=-1, dtype=np.int8)
res = abs(arr)
exp = SparseArray([1, 2, 1, 3], fill_value=1, dtype=np.int8)
tm.assert_sp_array_equal(exp, res)
def test_invert_operator(self):
arr = SparseArray([False, True, False, True], fill_value=False, dtype=np.bool_)
exp = SparseArray(
np.invert([False, True, False, True]), fill_value=True, dtype=np.bool_
)
res = ~arr
tm.assert_sp_array_equal(exp, res)
arr = SparseArray([0, 1, 0, 2, 3, 0], fill_value=0, dtype=np.int32)
res = ~arr
exp = SparseArray([-1, -2, -1, -3, -4, -1], fill_value=-1, dtype=np.int32)
tm.assert_sp_array_equal(exp, res)