Having a data frame df1:

```
         DP 1     DP 2    DP 3   DP 4     DP 5    DP 6    DP 7   DP 8    DP 9    DP 10
OP 1    357848  1124788 1735330 2218270 2745596 3319994 3466336 3606286 3833515 3901463
OP 2    352118  1236139 2170033 3353322 3799067 4120063 4647867 4914039 5339085 
OP 3    290507  1292306 2218525 3235179 3985995 4132918 4628910 4909315     
OP 4    310608  1418858 2195047 3757447 4029929 4381982 4588268         
OP 5    443160  1136350 2128333 2897821 3402672 3873311             
OP 6    396132  1333217 2180715 2985752 3691712                 
OP 7    440832  1288463 2419861 3483130                     
OP 8    359480  1421128 2864498                         
OP 9    376686  1363294                             
OP 10   344014                                  

```

I would like to calculate the sum of every column by restricting the row number.

 `To calculate sum of first column data, Sum(DP1) where row size should be 10-1`

 `To calculate sum of second column data, Sum(DP2) where row size should be 10-2`

 `To calculate sum of Third column data, Sum(DP3) where row size should be 10-3`

and so on..

Output is like this:

```
    3327371  10251249  15047844  18447791  17963259  15954957  12743113  8520325  3833515

```

I tried to do with for loop:

```
>>dataframe_len = len(df1.columns)
>>print(dataframe_len)
   10
>>for i in range(0,10):
     #Here i need to find the sum of each column 
     #sum('col')(row size is 10-i)

```

it is not about DP1 to DP10(10 column) there are too many columns are there.

**Thank You For Your Time :)**