In this numpy.real_if_close()function, if complex input returns a real array then complex parts are close to zero.
Syntax : numpy.real_if_close(arr, tol = 100)
Parameters :
arr : [array_like] Input array.
tol : [float] “Close to zero” is defined as tol. Tolerance in machine epsilons for the complex part of the elements in the array.Return : [ndarray] If arr is real, the type of arr is used for the output. If arr has complex elements, the returned type is float.
Code #1 :
# Python program explaining # numpy.real_if_close() function # importing numpy as geek import numpy as geek arr = [3.6 + 4e-14j] tol = 1000 gfg = geek.real_if_close(arr, tol) print (gfg) |
Output :
[3.6]
Code #2 :
# Python program explaining # numpy.real_if_close() function # importing numpy as geek import numpy as geek arr = [3.6 + 2e-11j] tol = 1000 gfg = geek.real_if_close(arr, tol) print (gfg) |
Output :
[3.6+2.e-11j]
