numpy.logical_xor() in Python

numpy.logical_xor(arr1, arr2, out=None, where = True, casting = 'same_kind', order = 'K', dtype = None, ufunc 'logical_xor') : This is a logical function and it helps user to find out the truth value of arr1 XOR arr2 element-wise. Both the arrays must be of same shape. Parameters :

arr1 : [array_like]Input array. arr2 : [array_like]Input array. out : [ndarray, optional]Output array with same dimensions as Input array, placed with result. **kwargs : allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function. where : [array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.

Return :

An array with Boolean results of arr1 XOR arr2 element-wise(of the same shape). 

  Code 1 : Working Output :

Output Array : [False True True False]

  Code 2 : Value Error if input array's have different shapes Output :

 operands could not be broadcast together with shapes (4,) (5,) 

  Code 3 : Can check condition

Output :

arr1 : [0 1 2 3 4 5 6 7]

arr1>3 : 
 [False False False False True True True True]

arr1<6 : 
 [ True True True True True True False False]

XOR Value : 
 [ True True True True False False True True]

References : https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.logical_xor.html#numpy.logical_xor .