Question: I have a csv file with a huge dataset containing two columns. I want to compare the data of these two columns such that, if a duplicated pair is present then it gets deleted. For example, if my data file looks something like this:

```
Column A             Column B
DIP-1N                  DIP-1N
DIP-2N                  DIP-3N
DIP-3N                  DIP-2N
DIP-4N                  DIP-5N

```

Then the first entry gets deleted because I don't want two "DIP-1Ns". Also, the order of occurrence of pair is not an issue as far as the entry is unique. For example, here, DIP-2N & DIP-3N and DIP-3N & DIP-3N are paired. But both the entries mean the same thing. So I want to keep one entry and delete the rest.

I have written the following code, but I don't know how to compare simultaneously the entry of both the columns.

```
import csv
import pandas as pd

file = pd.read_csv("/home/staph.csv")
for i in range(len(file['Column A'])):
    for j in range(len(file['Column B'])):
        list1 = []
        list2 = []
        list1.append(file[file['Column A'].str.contains('DIP-'+str(i)+'N')])
        list2.append(file[file['Column B'].str.contains('DIP-'+str(i)+'N')])
        for ele1,ele2 in list1,list2:
            if(list1[ele1]==list2[ele2]):
                print("Duplicate")
            else:
                print("The 1st element is :", ele1)
                print("The 2nd element is :", ele2)

```

Seems like something is wrong, as there is no output. The program just ends without any output or error. Any help would be much appreciated in terms of whether my code is wrong or if I can optimize the process in a better way. Thanks :)

Answer: 
The solution was to change the `POST` variable name to lowercase in the get-data.js file
I had the same problem because of old SvelteKit version (I used .456, current version at the time this was written is .484). So make sure you have the most recent version of framework, when referring to the docs ;)