转换表格格式 - 长到宽 - 两列表格 - Pandas / Excel

Question

I have a table like this

Program     Seg     Percent
N           A       1%
N           B       13%
N           C       4%
Y           A       6%
Y           B       5%
Y           C       8%

Would like to convert it to:

Seg        A           A          B           B           C           C
Program    N           Y          N           Y           N           Y
Percent    1%          6%         13%         5%          4%          8%

Whether seg or program appear as title of columns or row index is not really important. Just want it to be selectable in some way in python.

Note that simply transposing is not what I'm looking for. I need to have 'Seg' as the first variable, then 'Program'.

Looking for the solution in both Pandas and possibly Excel.

Thanks

Answer 1

Create subset with expected order, sort by both columns by DataFrame.sort_values and last transpose by DataFrame.T :

df = df[['Seg','Program','Percent']].sort_values(['Seg','Program']).T
print (df)
          0   3    1   4   2   5
Seg       A   A    B   B   C   C
Program   N   Y    N   Y   N   Y
Percent  1%  6%  13%  5%  4%  8%

Solution with MulitIndex (repeated values are not displayed only):

df = df.set_index(['Seg','Program'])[['Percent']].sort_index().T
print (df)
Seg       A        B       C    
Program   N   Y    N   Y   N   Y
Percent  1%  6%  13%  5%  4%  8%