[英]Regex PANDAS dataframe
I have a dataframe that looks something like: 我有一个看起来像这样的数据框:
import pandas as pd
df= pd.DataFrame({'type':['-','L1iability','-','Liability1','-'],'Amount':[10,-10,20,-20,5]})
df
I want to replace everything other than "-" in the type column with "3rd". 我想用“ 3rd”替换类型列中除“-”以外的所有内容。 How do I do this with the replace command and regex ?
我该如何使用replace命令和regex?
IIUC mask
IIUC
mask
df['3rdcol']=df.type.mask(~(df.type=='-'),'Liability1')
df
Out[303]:
Amount type 3rdcol
0 10 - -
1 -10 L1iability Liability1
2 20 - -
3 -20 Liability1 Liability1
4 5 - -
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.