numpy.real_if_close() function – Python
Last Updated :
11 Jun, 2020
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 :
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 :
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]
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