def test_0d(self):
x = conventions.MaskedAndScaledArray(np.array(0), fill_value=0)
self.assertTrue(np.isnan(x))
self.assertTrue(np.isnan(x[...]))
x = conventions.MaskedAndScaledArray(np.array(0), fill_value=10)
self.assertEqual(0, x[...])
def test_multiple_fill_value(self):
x = conventions.MaskedAndScaledArray(np.arange(4),
fill_value=np.array([0, 1]))
self.assertArrayEqual([np.nan, np.nan, 2, 3], x)
x = conventions.MaskedAndScaledArray(np.array(0),
fill_value=np.array([0, 1]))
self.assertTrue(np.isnan(x))
self.assertTrue(np.isnan(x[...]))
def test(self):
x = conventions.MaskedAndScaledArray(np.arange(3), fill_value=0)
self.assertEqual(x.dtype, np.dtype('float'))
self.assertEqual(x.shape, (3, ))
self.assertEqual(x.size, 3)
self.assertEqual(x.ndim, 1)
self.assertEqual(len(x), 3)
self.assertArrayEqual([np.nan, 1, 2], x)
x = conventions.MaskedAndScaledArray(np.arange(3), add_offset=1)
self.assertArrayEqual(np.arange(3) + 1, x)
x = conventions.MaskedAndScaledArray(np.arange(3), scale_factor=2)
self.assertArrayEqual(2 * np.arange(3), x)
x = conventions.MaskedAndScaledArray(np.array([-99, -1, 0, 1, 2]), -99,
0.01, 1)
expected = np.array([np.nan, 0.99, 1, 1.01, 1.02])
self.assertArrayEqual(expected, x)
