Hi, I'd like to find the smallest possible representation of an array given a set of possible values. I've checked the function 'np.min_scalar_type', it works well for scalar input, but contrary to my assumption when array-like param is given: array's dtype is simply returned, instead of finding a more compact dtype for the array values.
>>> np.version.version '1.7.0' >>> np.min_scalar_type(0) # ok dtype('uint8') >>> np.min_scalar_type(-1) # ok dtype('int8') >>> np.min_scalar_type( [0,-1] ) # int8 expected, returns platform-default int dtype('int32') >>> np.min_scalar_type( [0,256] ) # uint16 expected dtype('int32') >>> np.min_scalar_type([-1,256]) # int16 expected dtype('int32') Am I missing something? Anyone knows how to achieve the desired operation? Thanks a lot, Gregorio _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion