just test numpy

avg_row.py

n, p = [int(x) for x in input().split()]
import numpy as np

output = np.array([])
for i in range(n):
    values = np.array([float(y) for y in input().split()][:p])
    
    // np.array.mean() vs round(np.array.sum(), 2) --> number of decimal values after the point
    s = values.sum()    
    m = round(s / p, 2) 
    
    output = np.append(output, m)

print(output)