Why am I getting an attribute error on numpy simulation?

I'm trying to write a function that will solve this question: What is the probability that the minimal die is 3 when 5 dice are cast?

I've run into this error AttributeError: 'int' object has no attribute 'min', and I can't figure out how to fix it. The code worked fine before I made it a function.

Here is my function:

import numpy as np

def minimal_throw(throws, rng, n_reps = 10 ** 5):
    results = rng.integers(low = 1, high = 6 + 1, size = (n_reps, throws))
    minimas = throws.min(axis = 1)
    uniques, counts  = np.unique(minimas, return_counts = True)
    return {"face" : uniques, "probability" : counts / n_reps}

rng = np.random.default_rng()

simulated_throws = minimal_throw(5, rng = rng)
faces = simulated_throws["face"]
probabilities = simulated_throws["probability"]