男女GPA分布对比（统计图表）

def solve():
    import pandas as pd
    import matplotlib.pyplot as plt
    import numpy as np
    
    url = 'https://liangdaima.com/static/data/wooldridge/gpa1.csv'
    df = pd.read_csv(url)
    
    from scipy.stats import gaussian_kde
    male_gpa = df[df['male']==1]['colGPA']
    female_gpa = df[df['male']==0]['colGPA']
    plt.figure(figsize=(10,6))
    kde_male = gaussian_kde(male_gpa)
    kde_female = gaussian_kde(female_gpa)
    x_range = np.linspace(0, 4, 100)
    plt.plot(x_range, kde_male(x_range), color='blue', linewidth=2, label='男生')
    plt.fill_between(x_range, kde_male(x_range), alpha=0.3, color='blue')
    plt.plot(x_range, kde_female(x_range), color='red', linewidth=2, label='女生')
    plt.fill_between(x_range, kde_female(x_range), alpha=0.3, color='red')
    plt.title('男女大学GPA分布对比', fontsize=14)
    plt.xlabel('GPA', fontsize=12)
    plt.ylabel('密度', fontsize=12)
    plt.legend()
    plt.grid(alpha=0.3)
    plt.tight_layout()
    plt.show()
    return "可视化代码执行完成"