Frequency of numpy repetition by position

I am using a numpy solution to perform a complete sampling without replacement, according to a list of weights, and doing this N times. So for this example below, I want to sample from the numbers 0-3 without replacement, sampling all numbers, and repeating that process 10 times. Here is what I've done so far:

np.random.seed(seed=123);

N = 10;
samples = []
P = [0.5,0.3,0.1,0.1]

for i in np.arange(N):
    picks = np.random.choice(4,size=4,replace=False, p=P)
    samples.append(picks)

samples

It produces:

[array([1, 0, 3, 2]),
 array([3, 1, 0, 2]),
 array([1, 0, 3, 2]),
 array([0, 1, 3, 2]),
 array([1, 0, 2, 3]),
 array([0, 1, 3, 2]),
 array([1, 0, 3, 2]),
 array([0, 3, 1, 2]),
 array([2, 1, 0, 3]),
 array([0, 1, 2, 3])]

Now, for example, I'd like to determine how many times does the number 0 appear in the first position via code? How many times does 1 appear in the first position? Ideally, I'd like the full distribution across the four positions, e.g. I know that 0 appears twice in the third position, 1 appears once in the third position, 2 appears twice in the third position, 3 appears five times in the third position, etc. across all positions.