python - Python min() 使用两个键
问题描述
如何在 Python 内置min
/max
函数中使用两个键?
例如,我有一个list
of dict
s(它们用作计数器),如下所示:
[{88: 3, 68: 0, 6: 0}, {88: 2, 68: 1, 6: 0}, {88: 3, 68: 0, 6: 1},
{88: 2, 68: 1, 6: 1}, {88: 3, 68: 0, 6: 2}, {88: 2, 68: 1, 6: 2},
{88: 2, 68: 0, 6: 3}, {88: 2, 68: 1, 6: 0}, {88: 1, 68: 2, 6: 0},
{88: 2, 68: 1, 6: 1}]
我想知道哪个柜台的成本最低:
cost = lambda d: sum(k * v for k, v in d.items())
以及最小计数:
count = lambda d: sum(d.values())
我知道如何在普通代码中做到这一点。我只是想知道是否有任何pythonic方法可以做到这一点。
解决方案
您应该使用与sort
ing完全相同的方法:
>>> my_list = [{88: 3, 68: 0, 6: 0}, {88: 2, 68: 1, 6: 0}, {88: 3, 68: 0, 6: 1},
{88: 2, 68: 1, 6: 1}, {88: 3, 68: 0, 6: 2}, {88: 2, 68: 1, 6: 2},
{88: 2, 68: 0, 6: 3}, {88: 2, 68: 1, 6: 0}, {88: 1, 68: 2, 6: 0},
{88: 2, 68: 1, 6: 1}]
>>> sorted(my_list, key=lambda d: (sum(k * v for k, v in d.items()), sum(d.values())))
[{88: 2, 68: 0, 6: 3}, {88: 1, 68: 2, 6: 0}, {88: 2, 68: 1, 6: 0}, {88: 2, 68: 1, 6: 0},
{88: 2, 68: 1, 6: 1}, {88: 2, 68: 1, 6: 1}, {88: 2, 68: 1, 6: 2}, {88: 3, 68: 0, 6: 0},
{88: 3, 68: 0, 6: 1}, {88: 3, 68: 0, 6: 2}]
>>> min(my_list, key=lambda d: (sum(k * v for k, v in d.items()), sum(d.values())))
{88: 2, 68: 0, 6: 3}
>>> max(my_list, key=lambda d: (sum(k * v for k, v in d.items()), sum(d.values())))
{88: 3, 68: 0, 6: 2}
推荐阅读
- etl - 如何在 Informatica Power Center 中从多个表生成单个文件
- php - PHP:使用 onclick 在新窗口(不是新选项卡)中打开 href
- node.js - MERN 堆栈 MongoDB 权限和访问级别设置
- r - betareg 不在 CentOS 上使用多线程
- excel - 如何只过滤excel中的日期
- android - 如何将应用上传到 Google Play 商店(封闭测试)?
- javascript - 反应中的动态元标记问题
- python - 如何从termux(Andriod)在Heroku中运行Python文件?
- reactjs - 将反应应用程序发布到 gh 页面并获得一个空的 mapbox 屏幕
- r - 根据行数将多个 csvs 导入 R