onehot_encode_skl

from sklearn.compose import ColumnTransformer
from sklearn.preprocessing import OneHotEncoder

def onehot_encode(df, onehot_columns):
    ct = ColumnTransformer(
        [('onehot', OneHotEncoder(drop='first'), onehot_columns)],
        remainder='passthrough'
        )
    return ct.fit_transform(df)

onehot_columns = ['hour']
onehot_encoded = onehot_encode(df_features, onehot_columns)