numpy.finfo() function – Python Last Updated : 18 Jun, 2020 Comments Improve Suggest changes Like Article Like Report numpy.finfo() function shows machine limits for floating point types. Syntax : numpy.finfo(dtype) Parameters : dtype : [float, dtype, or instance] Kind of floating point data-type about which to get information. Return : Machine parameters for floating point types. Code #1 : Python3 # Python program explaining # numpy.finfo() function # importing numpy as geek import numpy as geek gfg = geek.finfo(geek.float32) print (gfg) Output : Machine parameters for float32 --------------------------------------------------------------- precision = 6 resolution = 1.0000000e-06 machep = -23 eps = 1.1920929e-07 negep = -24 epsneg = 5.9604645e-08 minexp = -126 tiny = 1.1754944e-38 maxexp = 128 max = 3.4028235e+38 nexp = 8 min = -max --------------------------------------------------------------- Code #2 : Python3 # Python program explaining # numpy.finfo() function # importing numpy as geek import numpy as geek gfg = geek.finfo(geek.float64) print (gfg) Output : Machine parameters for float64 --------------------------------------------------------------- precision = 15 resolution = 1.0000000000000001e-15 machep = -52 eps = 2.2204460492503131e-16 negep = -53 epsneg = 1.1102230246251565e-16 minexp = -1022 tiny = 2.2250738585072014e-308 maxexp = 1024 max = 1.7976931348623157e+308 nexp = 11 min = -max --------------------------------------------------------------- Comment More infoAdvertise with us Next Article numpy.finfo() function – Python sanjoy_62 Follow Improve Article Tags : Python Python-numpy Practice Tags : python Similar Reads numpy.fromstring() function – Python numpy.fromstring() function create a new one-dimensional array initialized from text data in a string. 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