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Nov 7th, 2020
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  1. import pandas as pd
  2. import pprint
  3. import requests
  4.  
  5. def collapse_results_by_party(results_by_candidate, candidates):
  6. results_by_party = {}
  7. for candidate, count in results_by_candidate.iteritems():
  8. party = candidates[candidate]['party']
  9. results_by_party[party] = results_by_party.get(party, 0) + count
  10.  
  11. return results_by_party
  12.  
  13. states = [
  14. 'Alaska', 'Alabama', 'Arkansas', 'Arizona', 'California', 'Colorado',
  15. 'Connecticut', 'Delaware', 'Florida', 'Georgia',
  16. 'Hawaii', 'Iowa', 'Idaho', 'Illinois', 'Indiana', 'Kansas', 'Kentucky',
  17. 'Louisiana', 'Massachusetts', 'Maryland', 'Maine', 'Michigan',
  18. 'Minnesota', 'Missouri', 'Mississippi', 'Montana', 'North Carolina',
  19. 'North Dakota', 'Nebraska', 'New Hampshire', 'New Jersey', 'New Mexico',
  20. 'Nevada', 'New York', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania',
  21. 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas',
  22. 'Utah', 'Virginia', 'Vermont', 'Washington', 'Wisconsin',
  23. 'West Virginia', 'Wyoming',
  24. ]
  25.  
  26. all_results = {}
  27. for state in states:
  28. print 'Downloading {}'.format(state)
  29. formatted_state = state.lower().replace(' ', '-')
  30. state_results = requests.get('https://static01.nyt.com/elections-assets/2020/data/api/2020-11-03/race-page/{}/president.json'.format(formatted_state)).json()
  31. all_results[formatted_state] = state_results
  32.  
  33. records = []
  34. for state, state_results in all_results.iteritems():
  35. race = state_results['data']['races'][0]
  36.  
  37. for candidate in race['candidates']:
  38. if candidate['party_id'] == 'republican':
  39. candidate['party'] = 'rep'
  40. elif candidate['party_id'] == 'democrat':
  41. candidate['party'] = 'dem'
  42. else:
  43. candidate['party'] = 'trd'
  44. candidates = { candidate['candidate_key']: candidate for candidate in race['candidates'] }
  45.  
  46. for data_point in race['timeseries']:
  47. data_point['state'] = state
  48. data_point['expected_votes'] = race['tot_exp_vote']
  49. data_point['trump2016'] = race['trump2016']
  50. data_point['votes2012'] = race['votes2012']
  51. data_point['votes2016'] = race['votes2016']
  52.  
  53. vote_shares = collapse_results_by_party(data_point['vote_shares'], candidates)
  54. for party in ['rep', 'dem', 'trd']:
  55. data_point['vote_share_{}'.format(party)] = vote_shares.get(party, 0)
  56.  
  57. data_point.pop('vote_shares')
  58. records.append(data_point)
  59.  
  60. time_series_df = pd.DataFrame.from_records(records)
  61. time_series_df.to_csv('data/nyt_ts.csv', encoding='utf-8')
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