Reputation: 101
Hello I Have pandas dataframe which is grouped wanted to ungroup the dataframe the column values are separated comma the dataframe which is looking as below
col1 col2 name exams
0,0,0 0,0,0, A1 exm1,exm2, exm3
0,1,0,20 0,0,2,20 A2 exm1,exm2, exm4, exm5
0,0,0,30 0,0,20,20 A3 exm1,exm2, exm3, exm5
output how I wanted
col1 col2 name exam
0 0 A1 exm1
0 0 A1 exm2
0 0 A1 exm3
0 0 A2 exm1
1 0 A2 exm2
0 2 A2 exm4
20 20 A2 exm5
..............
30 20 A3 exm5
I am tried with Split (explode) pandas dataframe string entry to separate rows but not able get proper approach any one please give me suggestion how can I get my output
Upvotes: 0
Views: 292
Reputation: 323316
Try with explode, notice , explode is the new function after pandas 0.25.0
df[['col1','col2','exams']]=df[['col1','col2','exams']].apply(lambda x : x.str.split(','))
df = df.join(pd.concat([df.pop(x).explode() for x in ['col1','col2','exams']],axis=1))
Out[62]:
name col1 col2 exams
0 A1 0 0 exm1
0 A1 0 0 exm2
0 A1 0 0 exm3
1 A2 0 0 exm1
1 A2 1 0 exm2
1 A2 0 2 exm4
1 A2 20 20 exm5
2 A3 0 0 exm1
2 A3 0 0 exm2
2 A3 0 20 exm3
2 A3 30 20 exm5
Upvotes: 2