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 :

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# Python program explaining
# isrealobj() function
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 : 











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# Python Program illustrating 


# numpy.isrealobj() method    


import numpy as geek  


     


# Returns True/False value for each element  


a = geek.arange(20).reshape(5, 4) 


print("Is real : ", geek.isrealobj(a)) 


     


# Returns True/False value as ans  


# because we have mentioned dtpe in the beginning 


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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