separate files

grs = pd.DataFrame()

for n, gr in df.groupby(['bias', 'name_bias']):

     n_edit = '{}_coverage_of_{}_person'.format(n[0], n[1]) 

    counts = gr.verb.value_counts()

    counts = counts / overall_counts.loc[counts.index]

    counts2 = overall_counts.loc[counts.index]

    counts.index += counts.apply(cust)

    counts.index += counts2.apply(cust)

    sorted_verbs = counts.sort_values(ascending=False).head(args.n)

    sorted_verbs.to_csv("{}.csv".format(n_edit))

    grs[n] = sorted_verbs.index

print(grs)

grs.to_csv('most_freq_verbs.csv')