How to apply a Sklearn scaler by rows in Pandas Dataframe

Let’s say that we want to apply the MinMaxScaler from the Sklearn in a pandas Data Frame by row and not by column which is the default.

import pandas as pd
from sklearn.preprocessing import MinMaxScaler
#for this post we will use MinMaxScaler
scaler=MinMaxScaler()

df=pd.DataFrame({'A':[10,0.3,141],'B':[13,0.5,110],'C':[11,0.1,107]})
df

       A      B      C
0   10.0   13.0   11.0
1    0.3    0.5    0.1
2  141.0  110.0  107.0

scaled=pd.DataFrame(scaler.fit_transform(df.T).T,columns=df.columns)
scaled

     A         B         C
0  0.0  1.000000  0.333333
1  0.5  1.000000  0.000000
2  1.0  0.088235  0.000000