numpy.isrealobj() in Python
Last Updated :
07 Aug, 2019
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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 :
Python
Output :
Python
Output :
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 FalseCode 1 :
# 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)
Input array : [1, 3, 5, 4] Is real : TrueCode 2 :
# 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))
Is real : True class 'complex' Is real : True Is real : FalseReferences : https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.isrealobj.html#numpy.isrealobj .
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