numpy.array_equal() in Python
Last Updated :
29 Nov, 2018
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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
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