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Pandas hierarchical dataframe

I have a dataframe:

Form nr Element Type    Text    Options
   1    Name1   select  text1   op1
   1    Name1   select  text    op2
   1    Name1   select  text    op3
   1    Name2   input   text2   NaN
   2    Name1   input   text2   NaN

Is there a way to smooth out the "nested" hierarchical index as follows:

Form nr Element Type    Text    Options
   1    Name1   select  text1   op1
                                op2
                                op3
        Name2   input   text2   NaN
   2    Name1   input   text2   NaN
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1 answer

Assuming there is a typo in the Text column, the text is 1 text1? I will move from my first DataFrame.

In [11]: df
Out[11]: 
   Form nr Element    Type   Test Options
0     1      Name1  select  text1     op1
1     1      Name1  select   text     op2
2     1      Name1  select   text     op3
3     1      Name2   input  text2     NaN
4     2      Name1   input  text2     NaN

In [12]: df.set_index(['Form', 'nr Element', 'Type', 'Test'])
Out[12]: 
                             Options
Form nr Element Type   Test         
1    Name1      select text1     op1
                       text      op2
                       text      op3
     Name2      input  text2     NaN
2    Name1      input  text2     NaN
+13
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