How to randomly choose a certain number of elements in a list with non-uniform probability distribution without repetition?

Question

For example, I have a list with 10 elements, I would like to choose 4 elements from the list randomly according to a certain probability distribution that I assign to, without repetition.

I know that there is a function numpy.random.choice, however this function allows repetition of choosing elements. How can the function of numpy.random.choice without repetition be achieved in a simple way?

Answer 1

IIUC, you just need to set the replace argument to False in np.random.choice() . Like this:

np.random.seed(123) # for reproducibility

np.random.choice(range(10), replace=False, size=4)
# array([4, 0, 7, 5])