I am trying to compare two 1d numpy arrays for mismatch as follows. I have this working with partial success.
import numpy as np
a= np.array([0,1,2,3,4,13])
b= np.array([0,1,2,3,4,10,11,12])
mis = max( np.sum(~np.isin(b,a)), np.sum(~np.isin(a,b)))
print(mis)
output: 3
expected output : 4 ( 13,10,11,12 are mismatches)
Why are you taking the max of the two sums instead of adding the sums? You are only grabbing the missing entries from a single array (the larger one) by doing that, when you clearly want both.
mis = np.sum(~np.isin(b,a)) + np.sum(~np.isin(a,b))
Your code would work if you add the np.sum:
mis = np.sum(~np.isin(b,a)) + np.sum(~np.isin(a,b))
However, check out setxor1d:
np.setxor1d(a,b)
# out
# array([10, 11, 12, 13])
You can easily get the length then.
