Calculate percentage of similar values in pandas dataframe

Question

I have one dataframe df, with two columns : Script (with text) and Speaker

Script  Speaker
aze     Speaker 1 
art     Speaker 2
ghb     Speaker 3
jka     Speaker 1
tyc     Speaker 1
avv     Speaker 2 
bhj     Speaker 1

And I have the following list : L = ['a','b','c']

With the following code,

df = (df.set_index('Speaker')['Script'].str.findall('|'.join(L))
        .str.join('|')
        .str.get_dummies()
        .sum(level=0))
print (df)

I obtain this dataframe df2 :

Speaker     a    b    c
Speaker 1   2    1    1
Speaker 2   2    0    0
Speaker 3   0    1    0

Which line can I add in my code to obtain, for each line of my dataframe df2, a percentage value of all lines spoken by speaker, in order to have the following dataframe df3 :

Speaker     a    b    c
Speaker 1   50%  25%   25%
Speaker 2  100%    0   0
Speaker 3   0   100%   0

Answer 1

You could divide by the sum along the first axis and then cast to string and add %:

out = (df.set_index('Speaker')['Script'].str.findall('|'.join(L))
         .str.join('|')
         .str.get_dummies()
         .sum(level=0))

---

(out/out.sum(0)[:,None]).mul(100).astype(int).astype(str).add('%')

            a     b    c
Speaker                  
Speaker1   50%   25%  25%
Speaker2  100%    0%   0%
Speaker3    0%  100%   0%