t_weight.py

import pandas as pd;
df=pd.read_csv(' t-weight.csv',names=['A','B'])
data=df.values.tolist()
c1_tot=0
c2_tot=0
r1_tot=0
r2_tot=0
for i in range(2):
   for j in range(2):
     if(i==0):
        r1_tot=r1_tot+(int)(data[i][j])
     if(i==1):
        r2_tot=r2_tot+(int)(data[i][j])
     if(j==0):
        c1_tot=c1_tot+(int)(data[i][j])
     if(j==1):
        c2_tot=c2_tot+(int)(data[i][j])

print("row 1 total:"+r1_tot)
print("row 2 total:"+r2_tot)
print("col 1 total:"+c1_tot)
print("col 2 total:"+c2_tot)
 
for i in range (2):
    for j in range (2):
        if(i==0):
            print("t-weight for data"+(str)(data[i][j])+"is--->"+(float)(((data[i][j])/r1_tot))*100)
        if(i==1):
            print("t-weight for data"+(str)(data[i][j])+"is--->"+(float)(((data[i][j])/r2_tot))*100)
        if(j==0):
            print("d-weight for data"+(str)(data[i][j])+"is--->"+(float)(((data[i][j])/c1_tot))*100)
        if(j==1):
            print("d-weight for data"+(str)(data[i][j])+"is--->"+(float)(((data[i][j])/c2_tot))*100)