election/tools/tc-election-summary.py
2019-03-06 21:49:37 +00:00

122 lines
3.7 KiB
Python
Executable File

#!/usr/bin/env python
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from __future__ import division
from __future__ import print_function
import prettytable
CIVS_BASE = 'https://civs.cs.cornell.edu/cgi-bin/results.pl'
data = [
{
'election': '10/2013', # Icehouse
'electorate': 1106,
'votes_cast': 342,
},
{
'election': '04/2014', # Juno
'electorate': 1510,
'votes_cast': 448,
},
{
'election': '10/2014', # Kilo
'electorate': 1893,
'votes_cast': 506,
'results': '%s?id=%s' % (CIVS_BASE, 'E_c105db929e6c11f4')
},
{
'election': '04/2015', # Liberty
'electorate': 2169,
'votes_cast': 548,
'results': '%s?id=%s' % (CIVS_BASE, 'E_ef1379fee7b94688')
},
{
'election': '10/2015', # Mitaka
'electorate': 2759,
'votes_cast': 619,
'results': '%s?id=%s' % (CIVS_BASE, 'E_4ef58718618691a0')
},
{
'election': '04/2016', # Newton
'electorate': 3284,
'votes_cast': 652,
'results': '%s?id=%s' % (CIVS_BASE, 'E_fef5cc22eb3dc27a')
},
{
'election': '10/2016', # Ocata
'electorate': 3517,
'votes_cast': 801,
'results': '%s?id=%s' % (CIVS_BASE, 'E_356e6c1b16904010')
},
{
'election': '04/2017', # Pike
'electorate': 3191,
'votes_cast': 427,
'results': '%s?id=%s' % (CIVS_BASE, 'E_072c4cd7ff0673b5')
},
{
'election': '10/2017', # Queens
'electorate': 2430,
'votes_cast': 420,
'results': '%s?id=%s' % (CIVS_BASE, 'E_ce86063991ef8aae')
},
{
'election': '04/2018', # Rocky
'electorate': 2025,
'votes_cast': 384,
'results': '%s?id=%s' % (CIVS_BASE, 'E_98430d99fc2ed59d')
},
{
'election': '09/2018', # Stein
'electorate': 1636,
'votes_cast': 403,
'results': '%s?id=%s' % (CIVS_BASE, 'E_f773fda2d0695864')
},
{
'election': '03/2019', # Train
'electorate': 1390,
'votes_cast': 279,
'results': '%s?id=%s' % (CIVS_BASE, 'E_6c71f84caff2b37c')
},
]
def change(data, idx, key):
if idx == 0:
return float('NaN')
return 100 * ((data[idx][key] / data[idx-1][key]) - 1)
pt = prettytable.PrettyTable(['Election',
'Electorate (delta %)',
'Voted (delta %)',
'Turnout % (delta %)'])
for idx, current in enumerate(data):
current['turnout'] = 100 * (current['votes_cast'] / current['electorate'])
current['electorate_change'] = change(data, idx, 'electorate')
current['voter_change'] = change(data, idx, 'votes_cast')
current['turnout_change'] = change(data, idx, 'turnout')
pt.add_row(['%(election)8s' % current,
'%(electorate)10d (%(electorate_change)7.2f)' % current,
'%(votes_cast)5d (%(voter_change)7.2f)' % current,
' %(turnout)7.2f (%(turnout_change)7.2f)' % current])
print(pt)
print("\nElection CIVS links")
for election in data:
if 'results' in election:
print("%(election)8s: %(results)s" % election)