check for identical rows in different numpy arrays

Question

how do I get a row-wise comparison between two arrays, in the result of a row-wise true/false array?

Given datas:

a = np.array([[1,0],[2,0],[3,1],[         


        

Answer 1

you can use numpy with apply_along_axis (kind of iteration on specific axis while axis=0 iterate on every cell, axis=1 iterate on every row, axis=2 on matrix and so on

import numpy as np
a = np.array([[1,0],[2,0],[3,1],[4,2]])
b = np.array([[1,0],[2,0],[4,2]])
c = np.apply_along_axis(lambda x,y: x in y, 1, a, b)