numpy.array_equal() in Python

numpy.array_equal(arr1, arr2) : This logical function that checks if two arrays have the same shape and elements.

Parameters :

arr1    : [array_like]Input array or object whose elements, we need to test.
arr2    : [array_like]Input array or object whose elements, we need to test.

Return :

True, if both arrays have same shape and value; otherwise False

Code : Explaining Working

# Python program explaining
# array_equal() function
import numpy as np

# input
arr1 = np.arange(4)
arr2 = [7, 4, 6, 7]
print ("arr1 : ", arr1)
print ("arr2 : ", arr2)

print ("\nResult : ", np.array_equal(arr1, arr2))

arr1 = np.arange(4)
arr2 = np.arange(4)
print ("\n\narr1 : ", arr1)
print ("arr2 : ", arr2)

print ("\nResult : ", np.array_equal(arr1, arr2))

arr1 = np.arange(4)
arr2 = np.arange(5)
print ("\n\narr1 : ", arr1)
print ("arr2 : ", arr2)

print ("\nResult : ", np.array_equal(arr1, arr2))

Output :

arr1 :  [0 1 2 3]
arr2 :  [7, 4, 6, 7]

Result :  False


arr1 :  [0 1 2 3]
arr2 :  [0 1 2 3]

Result :  True


arr1 :  [0 1 2 3]
arr2 :  [0 1 2 3 4]

Result :  False

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