Need to create tuples as dictionary keys from a csv in the form (year, state_po, candidate) = candidatevotes without pandas

Here are some rows of the csv. I have looked over several stackexchange questions, and other resources but have not been able to come up with a clear solution. I converted my csv into a dictionary using DictReader. I am not sure how to turn the specific columns into a tuple key. I also need to filter for the year 2020. I am not sure how to do that without pandas either.

"year","state","state_po","county_name","county_fips","office","candidate","party","candidatevotes","totalvotes","version","mode"
2000,"ALABAMA","AL","AUTAUGA","1001","PRESIDENT","AL GORE","DEMOCRAT",4942,17208,20191203,"TOTAL"
2000,"ALABAMA","AL","AUTAUGA","1001","PRESIDENT","GEORGE W. BUSH","REPUBLICAN",11993,17208,20191203,"TOTAL"
2000,"ALABAMA","AL","AUTAUGA","1001","PRESIDENT","RALPH NADER","GREEN",160,17208,20191203,"TOTAL"

>Solution :

Dictionary comprehension is probably the most Pythonic way.

import csv
with open('csv') as file:
    reader = csv.DictReader(file)
    data = {(i['year'], i['state_po'], i['candidate']): i['candidatevotes'] for i in reader}

After which data is:

{('2000', 'AL', 'AL GORE'): '4942',
 ('2000', 'AL', 'GEORGE W. BUSH'): '11993',
 ('2000', 'AL', 'RALPH NADER'): '160'}