回归预测与散点图

def solve():
    import pandas as pd
    import numpy as np
    import matplotlib.pyplot as plt
    from sklearn.linear_model import LinearRegression
    url = '____'
    df = pd.read_csv(____)
    mod = LinearRegression().fit(____)
    for a in [____,____,____]:
        print(____)
    xl = np.linspace(df['____'].min(), df['____'].max(), ____)
    plt.scatter(____)
    plt.plot(xl, mod.predict(xl.reshape(____)), '____', lw=____, label='____')
    plt.xlabel(____); plt.ylabel(____); plt.legend(); plt.tight_layout(); plt.show()