b_list=[]

dd=did6.loc[0]
dd1=pd.DataFrame(dd)
list2=[x[0] for x in dd1.values]
a_list=[]
for y in range(20):
if list2[y5] in top_20:
a_list.append([list2[y5+1]])
a_list.append([list2[y5+2]])
a_list.append([list2[y5+3]])
a_list.append([list2[y*5+4]])
else:
a_list.append([0])
a_list.append([0])
a_list.append([0])
a_list.append([0])
a_array=np.array(a_list)

a_date = pd.DataFrame(a_array)

for i in range(1,36):

dd=did6.loc[i]
dd1=pd.DataFrame(dd)
list2=[x[0] for x in dd1.values]
a_list=[]

for y in range(20):
        if list2[y*5] in top_20:
            a_list.append([list2[y*5+1]])
            a_list.append([list2[y*5+2]])
            a_list.append([list2[y*5+3]])
            a_list.append([list2[y*5+4]])
        else:
            a_list.append([0])
            a_list.append([0])
            a_list.append([0])
            a_list.append([0])
        a_array=np.array(a_list)
        a_date1 = pd.DataFrame(a_array)

a_date=pd.concat([a_date,a_date1],axis=1)