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test_assert_categorical_equal.py
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# -*- coding: utf-8 -*-
import pytest
from pandas import Categorical
from pandas.util.testing import assert_categorical_equal
@pytest.mark.parametrize("c", [
Categorical([1, 2, 3, 4]),
Categorical([1, 2, 3, 4], categories=[1, 2, 3, 4, 5]),
])
def test_categorical_equal(c):
assert_categorical_equal(c, c)
@pytest.mark.parametrize("check_category_order", [True, False])
def test_categorical_equal_order_mismatch(check_category_order):
c1 = Categorical([1, 2, 3, 4], categories=[1, 2, 3, 4])
c2 = Categorical([1, 2, 3, 4], categories=[4, 3, 2, 1])
kwargs = dict(check_category_order=check_category_order)
if check_category_order:
msg = """Categorical\\.categories are different
Categorical\\.categories values are different \\(100\\.0 %\\)
\\[left\\]: Int64Index\\(\\[1, 2, 3, 4\\], dtype='int64'\\)
\\[right\\]: Int64Index\\(\\[4, 3, 2, 1\\], dtype='int64'\\)"""
with pytest.raises(AssertionError, match=msg):
assert_categorical_equal(c1, c2, **kwargs)
else:
assert_categorical_equal(c1, c2, **kwargs)
def test_categorical_equal_categories_mismatch():
msg = """Categorical\\.categories are different
Categorical\\.categories values are different \\(25\\.0 %\\)
\\[left\\]: Int64Index\\(\\[1, 2, 3, 4\\], dtype='int64'\\)
\\[right\\]: Int64Index\\(\\[1, 2, 3, 5\\], dtype='int64'\\)"""
c1 = Categorical([1, 2, 3, 4])
c2 = Categorical([1, 2, 3, 5])
with pytest.raises(AssertionError, match=msg):
assert_categorical_equal(c1, c2)
def test_categorical_equal_codes_mismatch():
categories = [1, 2, 3, 4]
msg = """Categorical\\.codes are different
Categorical\\.codes values are different \\(50\\.0 %\\)
\\[left\\]: \\[0, 1, 3, 2\\]
\\[right\\]: \\[0, 1, 2, 3\\]"""
c1 = Categorical([1, 2, 4, 3], categories=categories)
c2 = Categorical([1, 2, 3, 4], categories=categories)
with pytest.raises(AssertionError, match=msg):
assert_categorical_equal(c1, c2)
def test_categorical_equal_ordered_mismatch():
data = [1, 2, 3, 4]
msg = """Categorical are different
Attribute "ordered" are different
\\[left\\]: False
\\[right\\]: True"""
c1 = Categorical(data, ordered=False)
c2 = Categorical(data, ordered=True)
with pytest.raises(AssertionError, match=msg):
assert_categorical_equal(c1, c2)
@pytest.mark.parametrize("obj", ["index", "foo", "pandas"])
def test_categorical_equal_object_override(obj):
data = [1, 2, 3, 4]
msg = """{obj} are different
Attribute "ordered" are different
\\[left\\]: False
\\[right\\]: True""".format(obj=obj)
c1 = Categorical(data, ordered=False)
c2 = Categorical(data, ordered=True)
with pytest.raises(AssertionError, match=msg):
assert_categorical_equal(c1, c2, obj=obj)