python-scikit-learnHow to resample with replacement

from sklearn import utils

X = [1,2,2,4,3,6,7,3,9]
Xr = utils.resample(X, n_samples=5, random_state=, replace=True)ctrl + cgithub

`from sklearn import` import module from scikit-learn	`utils.resample(` resample given dataset in a consistent way
`n_samples` number of samples to get for result	`random_state` random seed to get repeatable results
`replace=True` use resampling with replacement, this is `True` by default

from sklearn import utils

X = [1,2,2,4,3,6,7,3,9]
Xr = utils.resample(X, n_samples=5, random_state=1, replace=True)

print(Xr)

[6, 9, 6, 1, 1]