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 :
# 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 :
# 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 ---------------------------------------------------------------
