W3School TIY Editor

import pandas as pd from sklearn import linear_model from sklearn.preprocessing import StandardScaler scale = StandardScaler() df = pd.read_csv("cars.csv") X = df[['Weight', 'Volume']] y = df['CO2'] scaledX = scale.fit_transform(X) regr = linear_model.LinearRegression() regr.fit(scaledX, y) # 创建 DataFrame 并指定列名： predict_data = pd.DataFrame([[2300, 1.3]], columns=['Weight', 'Volume']) scaled = scale.transform(predict_data) predictedCO2 = regr.predict(scaled) print(predictedCO2)