Use pandas to create dict out of CSV columns

I have a csv file(with single line) like this

drop1,drop2,key1,value1,key2,value2,key3,value3...keyN,valueN

The output I need is

{
'key1':'value1',
'key2':'value2',
..
'keyN':'valueN',
}

I intend to use dataframes to do.
I tried using reshape and pivot, but being new to pandas, I am not able to figure it out.

Any pointer will be great help .

>Solution :

You can try reshape the values after first two columns to shape (-1, 2) where first column is key and second column is value

df = pd.read_csv('your.csv', header=None)
out = (pd.DataFrame(df.iloc[:, 2:].values.reshape(-1, 2))
       .set_index(0)[1].to_dict())

print(df)

       0      1     2       3     4       5     6       7     8       9
0  drop1  drop2  key1  value1  key2  value2  key3  value3  keyN  valueN

print(out)

{'key1': 'value1', 'key2': 'value2', 'key3': 'value3', 'keyN': 'valueN'}