pandas :如何将具有多个值的单元格转换为多行? [英] Pandas: how to convert a cell with multiple values to multiple rows?

问题描述

我有一个这样的DataFrame:

I have a DataFrame like this:

Name asn  count
Org1 asn1,asn2 1
org2 asn3      2
org3 asn4,asn5 5

我想将我的DataFrame转换成这样:

I would like to convert my DataFrame to look like this:

Name asn  count
Org1 asn1 1
Org1 asn2 1 
org2 asn3 2
org3 asn4 5
Org3 asn5 5

我知道使用以下代码对两列进行操作，但是我不确定如何对三列进行操作.

I know used the following code to do it with two columns, but I am not sure how can I do it for three.

df2 = df.asn.str.split(',').apply(pd.Series)          
df2.index = df.Name                                   
df2 = df2.stack().reset_index('Name') 

有人可以帮忙吗?

推荐答案

基于相同的想法，您可以为df2设置一个MultiIndex，然后进行堆栈.例如:

Carrying on from the same idea, you could set a MultiIndex for df2 and then stack. For example:

>>> df2 = df.asn.str.split(',').apply(pd.Series)
>>> df2.index = df.set_index(['Name', 'count']).index
>>> df2.stack().reset_index(['Name', 'count'])
   Name  count     0
0  Org1      1  asn1
1  Org1      1  asn2
0  org2      2  asn3
0  org3      5  asn4
1  org3      5  asn5

然后您可以重命名该列并设置您选择的索引.

You can then rename the column and set an index of your choosing.

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