Here’s an example of an easy way to form a pixel-wise image mask based on a compound logical condition, using numpy’s `where`

routine. In this example, `img`

is your 2-d image array:

mask_logic = np.array([np.not_equal(img, badval).flatten(), np.less_equal(img, thresh).flatten()]) img_mask = np.where(np.all(mask_logic, axis=0), np.ones(mask_logic.shape[1]), np.zeros(mask_logic.shape[1])).reshape(img.shape) |

Numpy’s `all`

implements the “AND” condition; to do a logical “OR”, use the similar `any`

routine.