Inzynierka/Lib/site-packages/pandas/tests/arrays/categorical/test_algos.py

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2023-06-02 12:51:02 +02:00
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize("ordered", [True, False])
@pytest.mark.parametrize("categories", [["b", "a", "c"], ["a", "b", "c", "d"]])
def test_factorize(categories, ordered):
cat = pd.Categorical(
["b", "b", "a", "c", None], categories=categories, ordered=ordered
)
codes, uniques = pd.factorize(cat)
expected_codes = np.array([0, 0, 1, 2, -1], dtype=np.intp)
expected_uniques = pd.Categorical(
["b", "a", "c"], categories=categories, ordered=ordered
)
tm.assert_numpy_array_equal(codes, expected_codes)
tm.assert_categorical_equal(uniques, expected_uniques)
def test_factorized_sort():
cat = pd.Categorical(["b", "b", None, "a"])
codes, uniques = pd.factorize(cat, sort=True)
expected_codes = np.array([1, 1, -1, 0], dtype=np.intp)
expected_uniques = pd.Categorical(["a", "b"])
tm.assert_numpy_array_equal(codes, expected_codes)
tm.assert_categorical_equal(uniques, expected_uniques)
def test_factorized_sort_ordered():
cat = pd.Categorical(
["b", "b", None, "a"], categories=["c", "b", "a"], ordered=True
)
codes, uniques = pd.factorize(cat, sort=True)
expected_codes = np.array([0, 0, -1, 1], dtype=np.intp)
expected_uniques = pd.Categorical(
["b", "a"], categories=["c", "b", "a"], ordered=True
)
tm.assert_numpy_array_equal(codes, expected_codes)
tm.assert_categorical_equal(uniques, expected_uniques)
def test_isin_cats():
# GH2003
cat = pd.Categorical(["a", "b", np.nan])
result = cat.isin(["a", np.nan])
expected = np.array([True, False, True], dtype=bool)
tm.assert_numpy_array_equal(expected, result)
result = cat.isin(["a", "c"])
expected = np.array([True, False, False], dtype=bool)
tm.assert_numpy_array_equal(expected, result)
@pytest.mark.parametrize("empty", [[], pd.Series(dtype=object), np.array([])])
def test_isin_empty(empty):
s = pd.Categorical(["a", "b"])
expected = np.array([False, False], dtype=bool)
result = s.isin(empty)
tm.assert_numpy_array_equal(expected, result)
def test_diff():
ser = pd.Series([1, 2, 3], dtype="category")
msg = "Convert to a suitable dtype"
with pytest.raises(TypeError, match=msg):
ser.diff()
df = ser.to_frame(name="A")
with pytest.raises(TypeError, match=msg):
df.diff()