Question

I’m interested in finding for a particular Numpy type (e.g. np.int64, np.uint32, np.float32, etc.) what the range of all possible valid values is (e.g. np.int32 can store numbers up to 2**31-1). Of course, I guess one can theoretically figure this out for each type, but is there a way to do this at run time to ensure more portable code?

Answer 1

Quoting from a numpy discussion list:

That information is available via numpy.finfo() and numpy.iinfo():

In [12]: finfo('d').max
Out[12]: 1.7976931348623157e+308

In [13]: iinfo('i').max
Out[13]: 2147483647

In [14]: iinfo('uint8').max
Out[14]: 255

Link here.