1

I would like to unlist one Pandas dataframe column into multiple columns in a chain. Like this, but ideally in a chain to help readability as there are more steps afterwards. Here is my example, which doesn't work.

d1 = {
    'teams': [['SF', 'NYG'],['SF', 'NYG'],['SF', 'NYG']],
    'bal':[5,7,8]
}

df2 = pd.DataFrame(d1)

#unlist teams column in chain
res=(df2
   .pd.DataFrame(df2['teams'].to_list(), columns=['team1','team2'])
   .assign(bal2=lambda x: x['bal']*2)
)

#final result like this
d3 = {
    'team1': ['SF','SF','SF'],
    'team2': ['NYG','NYG','NYG'],
    'bal':[5,7,8],
    'bal2':[10,14,16]
}

df4 = pd.DataFrame(d3)
Zeus
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1 Answers1

1

If use DataFrame.pop for extract column and converting to DataFrame then is possible add DataFrame.join for append all another columns:

res= (pd.DataFrame(df2.pop('teams').to_list(), columns=['team1','team2'], index=df2.index)
        .join(df2)
        .assign(bal2 = lambda x: x['bal']*2))

print (res)
  team1 team2  bal  bal2
0    SF   NYG    5    10
1    SF   NYG    7    14
2    SF   NYG    8    16
jezrael
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