Election night 2022

election_night.py is a quick script to translate the data from 538's 2022 election model into various csv files using pandas, to help me more easily follow the most competitve house, senate, and gubernatorial races on election night.

Input csv files, located in the input directory, are downloaded directly from 538.

https://projects.fivethirtyeight.com/2022-election-forecast/

Output csv files are located in the output directory. Here is the data each output csv file contains:

• gov_all.csv: all gubernatoral elections, sorted by expected margin
• gov_competitve.csv: all gubernatorial elections expected to be within 10 points, sorted by expected margin
• house_all.csv: all house elections, sorted by expected margin
• house_by_state_all.csv: all house elections, sorted by state
• house_by_state_competitive.csv: all house elections expected to be within 10 points, sorted by state
• house_competitve.csv: all house elections expected to be within 10 points, sorted by expected margin
• senate_all.csv: all senate elections, sorted by expected margin
• senate_competitve.csv: all senate elections expected to be within 10 points, sorted by expected margin

Each output csv file only includes the most relevant information about each election:

• district: name of the contested seat
• net: the expected margin, where -10 means an expected 10 point R win, and 10 means an expected 10 point D win
• D: name of the Democratic candidate
• D vote: expected vote share of the Democratic candidate
• R: name of the Republican candidate
• R vote: and expected vote share of the Republican candidate