Some data analysis on the 2015 election result

I used this file from the electoral commission.

pipfile install

pipfile shell
python election.py -- --help
python election.py

Returns something like:

Counter({'total': 650, 'stay home win': 340, '<=10 pc of home win': 56})

Run python election.py --show-win-over to get more detail on what fraction of stay at home vote would be needed to change the result.

Run python election.py --show-stay-home to see seats where the stay at home vote was larger than the winning candidate.