统计菜品价格分布与热销排行

def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd
    dishes=pd.read_csv(StringIO(open_url("https://data.zuihe.com/dbd/ms-takeaway/state_00/dishes.csv").read()))
    print(f"Total dishes: {len(dishes)}")
    print(f"By status: {dict(dishes.groupby('status').size())}")
    print(f"Avg price: {round(dishes['price'].mean(),2)}")
    print("Top 5 dishes by monthly sales:")
    for _,r in dishes.nlargest(5,'monthly_sold')[['name','monthly_sold']].iterrows():
        print(f"  {r['name']}: {r['monthly_sold']}")