def test_sum(self):
"""Test sum of a 1D field."""
data = np.arange(24)
times = np.arange(7, 360, 15)
cube = self._create_cube(data, times)
result = monthly_statistics(cube, 'sum')
expected = np.array([1, 5, 9, 13, 17, 21, 25, 29, 33, 37, 41, 45])
assert_array_equal(result.data, expected)
def test_min(self):
"""Test min of a 1D field."""
data = np.arange(24)
times = np.arange(7, 360, 15)
cube = self._create_cube(data, times)
result = monthly_statistics(cube, 'min')
expected = np.array([0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22])
assert_array_equal(result.data, expected)
def test_max(self):
"""Test max of a 1D field."""
data = np.arange(24)
times = np.arange(7, 360, 15)
cube = self._create_cube(data, times)
result = monthly_statistics(cube, 'max')
expected = np.array([1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23])
assert_array_equal(result.data, expected)
def test_median(self):
"""Test median of a 1D field."""
data = np.arange(24)
times = np.arange(7, 360, 15)
cube = self._create_cube(data, times)
result = monthly_statistics(cube, 'median')
expected = np.array([
0.5, 2.5, 4.5, 6.5, 8.5, 10.5, 12.5, 14.5, 16.5, 18.5, 20.5, 22.5
])
assert_array_equal(result.data, expected)