from sklearn import preprocessing le = preprocessing.LabelEncoder() data['price'] = le.fit_transform(data['harga']) data.head() data['harvest'] = le.fit_transform(data['luas_panen']) data.head() data['rainfall'] = le.fit_transform(data['curah_hujan']) data.head() urutan=list(zip(rainfall,harvest)...