def test_hash_pandas_object(obj):
a = hash_pandas_object(obj)
b = hash_pandas_object(obj)
if isinstance(a, np.ndarray):
np.testing.assert_equal(a, b)
else:
assert_eq(a, b)
def test_hash_pandas_object(obj):
a = hash_pandas_object(obj)
b = hash_pandas_object(obj)
if isinstance(a, np.ndarray):
np.testing.assert_equal(a, b)
else:
assert_eq(a, b)
def test_object_missing_values():
# Check that the presence of missing values doesn't change how object dtype
# is hashed.
s = pd.Series(['a', 'b', 'c', None])
h1 = hash_pandas_object(s).iloc[:3]
h2 = hash_pandas_object(s.iloc[:3])
tm.assert_series_equal(h1, h2)
def test_object_missing_values():
# Check that the presence of missing values doesn't change how object dtype
# is hashed.
s = pd.Series(['a', 'b', 'c', None])
h1 = hash_pandas_object(s).iloc[:3]
h2 = hash_pandas_object(s.iloc[:3])
tm.assert_series_equal(h1, h2)
def test_categorical_consistency():
# Check that categoricals hash consistent with their values, not codes
# This should work for categoricals of any dtype
for s1 in [pd.Series(['a', 'b', 'c', 'd']),
pd.Series([1000, 2000, 3000, 4000]),
pd.Series(pd.date_range(0, periods=4))]:
s2 = s1.astype('category').cat.set_categories(s1)
s3 = s2.cat.set_categories(list(reversed(s1)))
for categorize in [True, False]:
# These should all hash identically
h1 = hash_pandas_object(s1, categorize=categorize)
h2 = hash_pandas_object(s2, categorize=categorize)
h3 = hash_pandas_object(s3, categorize=categorize)
tm.assert_series_equal(h1, h2)
tm.assert_series_equal(h1, h3)
def test_categorical_consistency():
# Check that categoricals hash consistent with their values, not codes
# This should work for categoricals of any dtype
for s1 in [
pd.Series(['a', 'b', 'c', 'd']),
pd.Series([1000, 2000, 3000, 4000]),
pd.Series(pd.date_range(0, periods=4))
]:
s2 = s1.astype('category').cat.set_categories(s1)
s3 = s2.cat.set_categories(list(reversed(s1)))
for categorize in [True, False]:
# These should all hash identically
h1 = hash_pandas_object(s1, categorize=categorize)
h2 = hash_pandas_object(s2, categorize=categorize)
h3 = hash_pandas_object(s3, categorize=categorize)
tm.assert_series_equal(h1, h2)
tm.assert_series_equal(h1, h3)
def test_hash_pandas_object(obj):
a = hash_pandas_object(obj)
b = hash_pandas_object(obj)
np.testing.assert_equal(a, b)
def test_hash_pandas_object(obj):
a = hash_pandas_object(obj)
b = hash_pandas_object(obj)
np.testing.assert_equal(a, b)