feature selection selectfrommodel

from sklearn.linear_model import LogisticRegression
from sklearn.feature_selection import SelectFromModel

model = LogisticRegression(penalty='l1',solver='liblinear')

regularization_based = SelectFromModel(estimator=model).fit(df, y)

transformed_data=regularization_based.transform(df)

transformed_data[:10]