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
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