numpy.logical_xor() in Python

Last Updated : 29 Nov, 2018

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

Python

# Python program explaining # logical_xor() function import numpy as np  # input arr1 = [1, 3, False, 0] arr2 = [3, 0, True, False]  # output out_arr = np.logical_xor(arr1, arr2)  print ("Output Array : ", out_arr)

Output :

  Output Array :  [False  True  True False]

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

Python

# Python program explaining # logical_xor() function import numpy as np  # input arr1 = [8, 2, False, 4] arr2 = [3, 0, False, False, 8]  # output out_arr = np.logical_xor(arr1, arr2)  print ("Output Array : ", out_arr)

Output :

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

Code 3 : Can check condition

Python

# Python program explaining # logical_xor() function import numpy as np  # input arr1 = np.arange(8) print ("arr1 : ", arr1)  print ("\narr1>3 : \n", arr1>3) print ("\narr1<6 : \n", arr1<6)  print ("\nXOR Value  : \n", np.logical_xor(arr1>3, arr1<6))

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 .

numpy.logical_xor() in Python

mohit gupta_omg :)

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numpy.logical_xor() in Python

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