对组内多索引数据框中的聚合列进行排序

Question

Taking inspiration from the data here we have the following Series/Dataframe从这里的数据中汲取灵感，我们有以下系列/数据框

df = data.groupby(["Manufacturer","Product Name","Product Launch Data"]).sum("total")

                                                 total
Manufacturer Product Name Product Launch Date       
Apple        iPad         2010-04-03              30
             iPod         2001-10-23              34
Samsung      Galaxy       2009-04-27              24
             Galaxy Tab   2010-09-02              22

How do we sort after total while still keeping the groups ie ending up with:我们如何在total之后排序，同时仍然保留组，即最终得到：

                                                 total
Manufacturer Product Name Product Launch Date       
Apple        iPad         2010-04-03              30
             iPod         2001-10-23              34
Samsung      Galaxy Tab   2010-09-02              22
             Galaxy       2009-04-27              24

Answer 1

In last pandas versions is possible sorting by levels and columns names together, so here working:在最新的 Pandas 版本中，可以按级别和列名一起排序，所以这里工作：

df = df.sort_values(['Manufacturer','total'])
print (df)
                                               total
Manufacturer Product Name Product Launch Date       
Apple        iPad         2010-04-03              30
             iPod         2001-10-23              34
Samsung      Galaxy Tab   2010-09-02              22
             Galaxy       2009-04-27              24

对组内多索引数据框中的聚合列进行排序

问题描述

1 个解决方案

解决方案1
2 已采纳 2020-10-16 12:04:34

对组内多索引数据框中的聚合列进行排序

问题描述

1 个解决方案

解决方案1 2 已采纳 2020-10-16 12:04:34

解决方案1
2 已采纳 2020-10-16 12:04:34