In Pandas, I have the following data frame:
id1 id2 t1 l1 t2 l2
0 1 2 a b c d
1 3 4 g h i j
I would like to melt two columns at once. That is, the desired output is:
id1 id2 tz lz
0 1 2 a b
1 1 2 c d
2 3 4 g h
3 3 4 i j
I know standard melting:
d.melt(id_vars=['id1', 'id2'],
value_vars=['t1', 't2', 'l1', 'l2'])
but that stacks all columns
id1 id2 variable value
0 1 2 t1 a
1 3 4 t1 g
2 1 2 t2 c
3 3 4 t2 i
4 1 2 l1 b
5 3 4 l1 h
6 1 2 l2 d
7 3 4 l2 j
How could I melt two columns at once? Something like:
d.melt(id_vars=['id1', 'id2'],
value_vars={('t1', 'l1'): 'tz', ('t2', 'l2'): 'lz'})
would be great.
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