Pandas: split list in column into multiple rows [duplicate]

Answer 1

From data frame constructor

s1=df.Jobposition.str.len()

s2=df.Jobtype.str.len()
pd.DataFrame({'id':df.id.repeat(s1*s2),
  'Jobposition':np.concatenate([np.repeat(x,y) for x,y in zip(df.Jobposition,s2)]),
  'Jobtype':np.concatenate(np.repeat(df.Jobtype,s1).values)})

   Jobposition  Jobtype  id
0            6        1   3
1            2        3   4
1            2        6   4
1            2        5   4
1            6        3   4
1            6        6   4
1            6        5   4
2            1        9  43