我有两列,在数据框中每个单元格有很多重复项。类似于以下内容:
Index x y
1 1 ec, us, us, gbr, lst
2 5 ec, us, us, us, us, ec, ec, ec, ec
3 8 ec, us, us, gbr, lst, lst, lst, lst, gbr
4 5 ec, ec, ec, us, us, ir, us, ec, ir, ec, ec
5 7 chn, chn, chn, ec, ec, us, us, gbr, lst
我需要消除所有重复项,并得到一个像这样的结果数据框:
Index x y
1 1 ec, us, gbr, lst
2 5 ec, us
3 8 ec, us, gbr,lst
4 5 ec, us, ir
5 7 chn, ec, us, gbr, lst
谢谢!!
最佳答案
Split
并应用set
和join
即
df['y'].str.split(', ').apply(set).str.join(', ')
0 us, ec, gbr, lst
1 us, ec
2 us, ec, gbr, lst
3 us, ec, ir
4 us, lst, ec, gbr, chn
Name: y, dtype: object
根据评论更新:
df['y'].str.replace('nan|[{}\s]','').str.split(',').apply(set).str.join(',').str.strip(',').str.replace(",{2,}",",")
# Replace all the braces and nan with `''`, then split and apply set and join
关于python - 从数据框中的行和列(单元格)中删除重复项,python,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/48088686/