from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import OneHotEncoder


label_encoder = LabelEncoder()
integer_encoded = label_encoder.fit_transform(X)
print(integer_encoded)


onehot_encoder = OneHotEncoder(sparse=False)
integer_encoded = integer_encoded.reshape(len(integer_encoded), 1)
onehot_encoded = onehot_encoder.fit_transform(integer_encoded)
print(onehot_encoded)