房价因素学术系数图（学术图表）

def solve():
    import pandas as pd
    import matplotlib.pyplot as plt
    import numpy as np
    
    url = 'https://liangdaima.com/static/data/wooldridge/hprice1.csv'
    df = pd.read_csv(url)
    
    from scipy import stats
    plt.rcParams['font.size'] = 12
    vars = ['面积', '地块', '卧室']
    y = df['price']
    coeffs = []
    for col in ['sqrft', 'lotsize', 'bdrms']:
        x = df[col]
        slope, intercept, r, p, se = stats.linregress(x, y)
        coeffs.append(slope)
    plt.figure(figsize=(8,6))
    plt.hlines(0, -0.5, 2.5, color='black', linestyle='--')
    plt.scatter(range(len(vars)), coeffs, color='black', s=100)
    plt.xticks(range(len(vars)), vars)
    plt.title('房价影响因素系数', fontsize=14)
    plt.ylabel('回归系数', fontsize=12)
    plt.grid(axis='y', alpha=0.3)
    plt.tight_layout()
    plt.show()
    return "可视化代码执行完成"