numpy.array_equal() in Python Read Courses Practice Improve Improve Improve Like Article Like Save Article Save Report issue Report 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 . Don't miss your chance to ride the wave of the data revolution! Every industry is scaling new heights by tapping into the power of data. Sharpen your skills, become a part of the hottest trend in the 21st century.Dive into the future of technology - explore the Complete Machine Learning and Data Science Program by GeeksforGeeks and stay ahead of the curve. Commit to GfG's Three-90 Challenge! Purchase a course, complete 90% in 90 days, and save 90% cost click here to explore. Last Updated : 29 Nov, 2018 Like Article Save Article Previous numpy.logical_not() in Python Next numpy.array_equiv() in Python Share your thoughts in the comments Add Your Comment Please Login to comment...