I want to sample 30 samples in a list with length 100.
I can use np.random.sample like this:
import numpy as np
l = list(range(100))
np.random.choice(l, 30)
# np.random.choice(l, 30) may be same with next time np.random.choice(l, 30)
This can get a sample group, but I need to sample several times.
For example, I need 3 sublist(length=3) from a list with length 10(just a demo).
the duplicated samples is meaningless for me. which means [1,2,3] and [3,2,1] is duplicated for me. but np.random.choice may produce there two for me.
Is there any methods in python that can help me? Or is there a way I can compare the sampled list faster?
If your list has only 100 elements, you can random.shuffle it and get the first 30 elements.
import random
l = list(range(100))
random.shuffle(l)
print(l[:30])