← 返回题库
初级

加载项目数据并统计类型分布

未完成
初级参考 完整示例代码供参考，建议自己理解后重新输入 
def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd
    csv_data = open_url('https://data.zuihe.com/dbd/ms-datalabel/state_00/labels.csv').read()
    df = pd.read_csv(StringIO(csv_data))
    result = df['label_id'].value_counts()
    for val, count in result.items():
        print(f'{val}: {count}')

示例

输入
solve()
期望输出
LB001: 1
LB002: 1
LB003: 1
LB004: 1
LB005: 1
LB006: 1
LB007: 1
LB008: 1
LB009: 1
LB010: 1
LB011: 1
LB012: 1
LB013: 1
LB014: 1
LB015: 1
LB016: 1
LB017: 1
LB018: 1
LB019: 1
LB020: 1
LB021: 1
LB022: 1
LB023: 1
LB024: 1
LB025: 1
LB026: 1
LB027: 1
LB028: 1
LB029: 1
LB030: 1
LB031: 1
LB032: 1
LB033: 1
LB034: 1
LB035: 1
LB036: 1
LB037: 1
LB038: 1
LB039: 1
LB040: 1
LB041: 1
LB042: 1
LB043: 1
LB044: 1
LB045: 1
LB046: 1
LB047: 1
LB048: 1
LB049: 1
LB050: 1
Python 代码 🔒 登录后使用
🔒

登录后即可练习

注册免费账号，在浏览器中直接运行 Python 代码

登录 免费注册