stratified sample with replacement in python

I have a pandas DataFrame. I am trying to create a sample df with replacement and also stratify it.

This allows me to replace:

df_test = df.sample(n=100,replace = True,random_state=42,axis=0)

However, I am not sure how to also stratify. Can I used the weights parameter and if so how? The columns I want to stratify are strings.

This allows me to stratify:

from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size = .50,stratify=Y,random_state=42)

However, there is no option to replace.

How can I both stratify and replace?