Pandas - 在 groupby 之后返回一个数据帧

声明:本页面是StackOverFlow热门问题的中英对照翻译,遵循CC BY-SA 4.0协议,如果您需要使用它,必须同样遵循CC BY-SA许可,注明原文地址和作者信息,同时你必须将它归于原作者(不是我):StackOverFlow 原文地址: http://stackoverflow.com/questions/37984736/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me): StackOverFlow

提示:将鼠标放在中文语句上可以显示对应的英文。显示中英文
时间:2020-09-14 01:27:14  来源:igfitidea点击:

Pandas - return a dataframe after groupby

pythonpandasdataframegroup-by

提问by Square9627

I have a Pandas df:

我有一只Pandasdf

Name    No
A       1
A       2
B       2
B       2
B       3

I want to group by column Name, sum column Noand then return a 2-column dataframe like this:

我想按 column Name, sum column分组No,然后返回一个像这样的 2 列数据框:

Name    No
A       3
B       7

I tried:

我试过:

df.groupby(['Name'])['No'].sum()

but it does not return my desire dataframe. I can't add the result to a dataframe as a column.

但它没有返回我想要的数据框。我无法将结果作为列添加到数据框中。

Really appreciate any help

真的很感激任何帮助

回答by jezrael

Add parameter as_index=Falseto groupby:

将参数添加as_index=Falsegroupby

print (df.groupby(['Name'], as_index=False)['No'].sum())
  Name  No
0    A   3
1    B   7

Or call reset_index:

或致电reset_index

print (df.groupby(['Name'])['No'].sum().reset_index())
  Name  No
0    A   3
1    B   7