Random data generation sum to 1 by rounding

[deanhystad]

To avoid 0 I would use random.sample(). It guarantees each value is unique.

import random
 
def random_divisions(n, total_size=100):
    values = sorted([0, total_size] + random.sample(range(total_size), n-1))
    return sorted([(y-x)/total_size for x,y in zip(values , values [1:])])
 
r = random_divisions(5)
print(f"{r}  {sum(r)}")

Output:
[0.03, 0.04, 0.24, 0.33, 0.36]  1.0