多项式回归二次工资曲线

def solve():
    import pandas as pd
    import numpy as np
    import matplotlib.pyplot as plt
    from sklearn.linear_model import LinearRegression
    from sklearn.preprocessing import PolynomialFeatures
    url = '____'
    df = pd.read_csv(____)
    X1 = df[['____']]
    m1 = LinearRegression().fit(____)
    X2 = PolynomialFeatures(____).fit_transform(____)
    m2 = LinearRegression().fit(____)
    print(____)
    xl = np.linspace(df['____'].min(), df['____'].max(), ____)
    plt.scatter(____)
    plt.plot(xl, m2.predict(PolynomialFeatures(____).fit_transform(xl.reshape(____))), '____', lw=____)
    plt.xlabel(____); plt.ylabel(____); plt.title(____)
    plt.tight_layout(); plt.show()