numpy.isrealobj() in Python
numpy.isrealobj(array) : This logical function helps to checks if the array has no complex type or array has a complex number. Even if imaginary part is equal to zero, it is not considered to be a Real Object.
Parameters :
array : [array_like]Input array or object whose elements, we need to test.
Return :
True, if the input array hasn't any complex element; otherwise False
Code 1 :
import numpy as np
in_array = [ 1 , 3 , 5 , 4 ]
print ( "Input array : " , in_array)
output_value = np.isrealobj(in_array)
print ( "\nIs real : " , output_value)
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Output :
Input array : [1, 3, 5, 4]
Is real : True
Code 2 :
import numpy as geek
a = geek.arange( 20 ).reshape( 5 , 4 )
print ( "Is real : " , geek.isrealobj(a))
b = geek.arange( 20 ).reshape( 5 , 4 ).dtype = complex
print ( "\n" ,b)
print ( "\nIs real : " , geek.isrealobj(b))
b = [[ 1j ],
[ 3 ]]
print ( "\nIs real : " , geek.isrealobj(b))
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Output :
Is real : True
class 'complex'
Is real : True
Is real : False
References :
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.isrealobj.html#numpy.isrealobj
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Last Updated :
07 Aug, 2019
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