pandas: records with lists to separate rows

Question

I have a Python Pandas DataFrame like this (UCSC schema for NCBI RefSeq):

chrom   exonStart     exonEnds      name
chr1    100,200,300   110,210,310   gen1
c         


        

Answer 1

Use a zip and split within a comprehension

pd.DataFrame([
    [c, s, e, n]
    for c, S, E, n in df.itertuples(index=False)
    for s, e in zip(S.split(','), E.split(','))
], columns=df.columns)

  chrom exonStart exonEnds  name
0  chr1       100      110  gen1
1  chr1       200      210  gen1
2  chr1       300      310  gen1
3  chr1       500      600  gen2
4  chr1       700      800  gen2
5  chr2        50       55  gen3
6  chr2        60       65  gen3
7  chr2        70       75  gen3
8  chr2        80       85  gen3