I have a DataFrame, df
, where I would like to replace several values
user1 | user2 | user3 |
---|---|---|
apple | yoo | apple |
mango | ram | mango |
Instead of doing
df['user1'] = df['user1'].replace(['apple','mango'], [0, 1]) df['user3'] = df['user1'].replace(['apple','mango'], [0, 1]) df['user2'] = df['user2'].replace(['yoo','ram'], [2, 3])
to get the final DataFrame of
user1 | user2 | user3 |
---|---|---|
0 | 2 | 0 |
1 | 3 | 1 |
Is there any way I make the code above more efficient such that I can change the values of apple, mango, yoo and ram with one line of code?
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Answer
If need set range by unique values per columns use:
cols = ['user1','user2','user3'] s = df[cols].unstack() df[cols] = pd.Series(pd.factorize(s)[0], index=s.index).unstack(0) print (df) user1 user2 user3 0 0 2 0 1 1 3 1