对数-水平模型

def solve():
    import pandas as pd
    import numpy as np
    import statsmodels.api as sm
    import matplotlib.pyplot as plt
    
    df = pd.read_csv(____)
    df['____'] = np.log(____)
    
    plt.figure(figsize=(____,____))
    plt.scatter(____)
    
    X = sm.add_constant(____)
    model = sm.OLS(____).fit()
    
    x_line = np.linspace(df['____'].min(), df['____'].max(), ____)
    y_line = model.params['____'] + model.params['____'] * x_line + model.params['____'] * df['____'].mean() + model.params['____'] * df['____'].mean()
    plt.plot(____)
    
    plt.title(____)
    plt.xlabel(____)
    plt.ylabel(____)
    plt.legend()
    plt.grid(____)
    plt.tight_layout()
    plt.show()
    
    print(round(____))