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How to reverse a dummy variables from a pandas dataframe

I would like to reverse a dataframe with dummy variables. For example,

from df_input: 

Course_01 Course_02 Course_03 
  0           0         1 
  1           0         0 
  0           1         0

To df_output

   Course
0 03
1 01
2 02

I have been looking at the solution provided at Reconstruct a categorical variable from dummies in pandas but it did not work. Please, Any help would be much appreciated.

Many Thanks, Best Regards, Carlo

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Answer

We can use wide_to_long, then select rows that are not equal to zero i.e 

ndf = pd.wide_to_long(df, stubnames='T_', i='id',j='T')

      T_
id  T     
id1 30   0
id2 30   1
id1 40   1
id2 40   0

not_dummy = ndf[ndf['T_'].ne(0)].reset_index().drop('T_',1)

   id   T
0  id2  30
1  id1  40

Update based on your edit :

ndf = pd.wide_to_long(df.reset_index(), stubnames='T_',i='index',j='T')

not_dummy = ndf[ndf['T_'].ne(0)].reset_index(level='T').drop('T_',1)

        T
index    
1      30
0      40
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