Numpy inverse mask
import numpydata = numpy.array([[ 1, 2, 5 ]])mask = numpy.array([[0,1,0]])numpy.ma.masked_array(data, ~mask) #note this probably wont work right for non-boolean (T/F) values#ornumpy.ma.masked_array(data, numpy.logical_not(mask))for example
>>> a = numpy.array([False,True,False])>>> ~aarray([ True, False, True], dtype=bool)>>> numpy.logical_not(a)array([ True, False, True], dtype=bool)>>> a = numpy.array([0,1,0])>>> ~aarray([-1, -2, -1])>>> numpy.logical_not(a)array([ True, False, True], dtype=bool)