def test_categorical_unary_ceil():
cat = pd.Categorical(['a', 'a', 'b', 'c', 'a'], categories=['a', 'b', 'c'])
pdsr = pd.Series(cat)
sr = Series(cat)
with pytest.raises(AttributeError) as raises:
pdsr.ceil()
raises.match(r'''no attribute ['"]ceil['"]''')
with pytest.raises(TypeError) as raises:
sr.ceil()
raises.match('Categorical cannot perform the operation: ceil')
def test_categorical_unary_ceil():
cat = pd.Categorical(["a", "a", "b", "c", "a"], categories=["a", "b", "c"])
pdsr = pd.Series(cat)
sr = Series(cat)
with pytest.raises(AttributeError) as raises:
pdsr.ceil()
raises.match(r"""no attribute ['"]ceil['"]""")
with pytest.raises(TypeError) as raises:
sr.ceil()
raises.match("Series of dtype `category` cannot perform the operation: "
"ceil")
def test_series_ceil():
arr = np.random.random(100) * 100
sr = Series(arr)
np.testing.assert_equal(sr.ceil().to_array(), np.ceil(arr))