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TST: fix assert_categorical_equal message #13080

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TST: fix assert_categorical_equal message #13080

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2 changes: 1 addition & 1 deletion pandas/core/categorical.py
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Original file line number Diff line number Diff line change
Expand Up @@ -985,7 +985,7 @@ def __setstate__(self, state):

# Provide compatibility with pre-0.15.0 Categoricals.
if '_codes' not in state and 'labels' in state:
state['_codes'] = state.pop('labels')
state['_codes'] = state.pop('labels').astype(np.int8)
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Minor fix to make dtype compat. Needs whatsnew?

if '_categories' not in state and '_levels' in state:
state['_categories'] = self._validate_categories(state.pop(
'_levels'))
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2 changes: 0 additions & 2 deletions pandas/tests/series/test_datetime_values.py
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Expand Up @@ -320,8 +320,6 @@ def test_strftime(self):
expected = np.array(['2015/03/01', '2015/03/02', '2015/03/03',
'2015/03/04', '2015/03/05'], dtype=np.object_)
# dtype may be S10 or U10 depending on python version
print(result)
print(expected)
self.assert_numpy_array_equal(result, expected, check_dtype=False)

period_index = period_range('20150301', periods=5)
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72 changes: 55 additions & 17 deletions pandas/tests/test_testing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -65,9 +65,8 @@ def test_assert_almost_equal_dicts(self):
self._assert_almost_equal_both({'a': 1, 'b': 2}, {'a': 1, 'b': 2})

self._assert_not_almost_equal_both({'a': 1, 'b': 2}, {'a': 1, 'b': 3})
self._assert_not_almost_equal_both(
{'a': 1, 'b': 2}, {'a': 1, 'b': 2, 'c': 3}
)
self._assert_not_almost_equal_both({'a': 1, 'b': 2},
{'a': 1, 'b': 2, 'c': 3})
self._assert_not_almost_equal_both({'a': 1}, 1)
self._assert_not_almost_equal_both({'a': 1}, 'abc')
self._assert_not_almost_equal_both({'a': 1}, [1, ])
Expand Down Expand Up @@ -215,11 +214,11 @@ def test_numpy_array_equal_message(self):
\\[right\\]: \\[1\\.0, nan, 3\\.0\\]"""

with assertRaisesRegexp(AssertionError, expected):
assert_numpy_array_equal(
np.array([np.nan, 2, 3]), np.array([1, np.nan, 3]))
assert_numpy_array_equal(np.array([np.nan, 2, 3]),
np.array([1, np.nan, 3]))
with assertRaisesRegexp(AssertionError, expected):
assert_almost_equal(
np.array([np.nan, 2, 3]), np.array([1, np.nan, 3]))
assert_almost_equal(np.array([np.nan, 2, 3]),
np.array([1, np.nan, 3]))

expected = """numpy array are different

Expand Down Expand Up @@ -339,8 +338,8 @@ def test_index_equal_message(self):
labels=\\[\\[0, 0, 1, 1\\], \\[0, 1, 2, 3\\]\\]\\)"""

idx1 = pd.Index([1, 2, 3])
idx2 = pd.MultiIndex.from_tuples([('A', 1), ('A', 2), ('B', 3), ('B', 4
)])
idx2 = pd.MultiIndex.from_tuples([('A', 1), ('A', 2),
('B', 3), ('B', 4)])
with assertRaisesRegexp(AssertionError, expected):
assert_index_equal(idx1, idx2, exact=False)

Expand All @@ -350,10 +349,10 @@ def test_index_equal_message(self):
\\[left\\]: Int64Index\\(\\[2, 2, 3, 4\\], dtype='int64'\\)
\\[right\\]: Int64Index\\(\\[1, 2, 3, 4\\], dtype='int64'\\)"""

idx1 = pd.MultiIndex.from_tuples([('A', 2), ('A', 2), ('B', 3), ('B', 4
)])
idx2 = pd.MultiIndex.from_tuples([('A', 1), ('A', 2), ('B', 3), ('B', 4
)])
idx1 = pd.MultiIndex.from_tuples([('A', 2), ('A', 2),
('B', 3), ('B', 4)])
idx2 = pd.MultiIndex.from_tuples([('A', 1), ('A', 2),
('B', 3), ('B', 4)])
with assertRaisesRegexp(AssertionError, expected):
assert_index_equal(idx1, idx2)
with assertRaisesRegexp(AssertionError, expected):
Expand Down Expand Up @@ -434,10 +433,10 @@ def test_index_equal_message(self):
\\[left\\]: Int64Index\\(\\[2, 2, 3, 4\\], dtype='int64'\\)
\\[right\\]: Int64Index\\(\\[1, 2, 3, 4\\], dtype='int64'\\)"""

idx1 = pd.MultiIndex.from_tuples([('A', 2), ('A', 2), ('B', 3), ('B', 4
)])
idx2 = pd.MultiIndex.from_tuples([('A', 1), ('A', 2), ('B', 3), ('B', 4
)])
idx1 = pd.MultiIndex.from_tuples([('A', 2), ('A', 2),
('B', 3), ('B', 4)])
idx2 = pd.MultiIndex.from_tuples([('A', 1), ('A', 2),
('B', 3), ('B', 4)])
with assertRaisesRegexp(AssertionError, expected):
assert_index_equal(idx1, idx2)
with assertRaisesRegexp(AssertionError, expected):
Expand Down Expand Up @@ -674,6 +673,45 @@ def test_notisinstance(self):
tm.assertNotIsInstance(pd.Series([1]), pd.Series)


class TestAssertCategoricalEqual(unittest.TestCase):
_multiprocess_can_split_ = True

def test_categorical_equal_message(self):

expected = """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'\\)"""

a = pd.Categorical([1, 2, 3, 4])
b = pd.Categorical([1, 2, 3, 5])
with assertRaisesRegexp(AssertionError, expected):
tm.assert_categorical_equal(a, b)

expected = """Categorical\\.codes are different

Categorical\\.codes values are different \\(50\\.0 %\\)
\\[left\\]: \\[0, 1, 3, 2\\]
\\[right\\]: \\[0, 1, 2, 3\\]"""

a = pd.Categorical([1, 2, 4, 3], categories=[1, 2, 3, 4])
b = pd.Categorical([1, 2, 3, 4], categories=[1, 2, 3, 4])
with assertRaisesRegexp(AssertionError, expected):
tm.assert_categorical_equal(a, b)

expected = """Categorical are different

Attribute "ordered" are different
\\[left\\]: False
\\[right\\]: True"""

a = pd.Categorical([1, 2, 3, 4], ordered=False)
b = pd.Categorical([1, 2, 3, 4], ordered=True)
with assertRaisesRegexp(AssertionError, expected):
tm.assert_categorical_equal(a, b)


class TestRNGContext(unittest.TestCase):

def test_RNGContext(self):
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19 changes: 9 additions & 10 deletions pandas/util/testing.py
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Expand Up @@ -903,18 +903,17 @@ def assertNotIsInstance(obj, cls, msg=''):
raise AssertionError(err_msg.format(msg, cls))


def assert_categorical_equal(res, exp):
assertIsInstance(res, pd.Categorical, '[Categorical] ')
assertIsInstance(exp, pd.Categorical, '[Categorical] ')
def assert_categorical_equal(left, right, check_dtype=True,
obj='Categorical'):
assertIsInstance(left, pd.Categorical, '[Categorical] ')
assertIsInstance(right, pd.Categorical, '[Categorical] ')

assert_index_equal(res.categories, exp.categories)
assert_index_equal(left.categories, right.categories,
obj='{0}.categories'.format(obj))
assert_numpy_array_equal(left.codes, right.codes, check_dtype=check_dtype,
obj='{0}.codes'.format(obj))

if not array_equivalent(res.codes, exp.codes):
raise AssertionError(
'codes not equivalent: {0} vs {1}.'.format(res.codes, exp.codes))

if res.ordered != exp.ordered:
raise AssertionError("ordered not the same")
assert_attr_equal('ordered', left, right, obj=obj)
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hmm, why didn't this work before?

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@sinhrks sinhrks May 4, 2016 •
edited
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The change is for better error reporting purpose (The validation is the same).

As described in #13076, the check itself is OK but it is not called from Series/Index check, no?

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ahh I c, ok then.



def raise_assert_detail(obj, message, left, right):
Expand Down