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  1. #UPDATED TO FIX AN ERROR IN THE VOTER REGISTRATION CSV FILE
  2. # Required CSV files:
  3. # https://gofile.io/d/NEpP4P
  4.  
  5. ##############################################
  6. # Returns information about election results in MI based on county
  7.  
  8. import csv
  9.  
  10.  
  11. office = 'President of the United States 4 Year Term (1) Position'
  12. congress = 'District Representative in Congress 2 Year Term (1) Position'    
  13. counties = []
  14. current_county = ''
  15. congress_county = ''
  16. results_dict = {}
  17. with open('MI_results.csv',newline='') as csvfile:
  18.     res_reader = csv.DictReader(csvfile,delimiter=' ')
  19.    
  20.     for row in res_reader:
  21.         if row['OfficeDescription'] == office:
  22.             if current_county != row['CountyName']:
  23.                 #create the dict of the county with first candidate in csv and store it in the results dict
  24.                 results_dict[row['CountyName']] = {
  25.                 row['CandidateLastName'] : row['CandidateVotes']
  26.                 }
  27.                 counties.append(current_county) #create a list of counties
  28.                 current_county = row['CountyName'] #update the current county
  29.                 total_votes = int(row['CandidateVotes']) #start the county vote count
  30.             else:
  31.                 #add candidate's votes to the county dict
  32.                 results_dict[row['CountyName']][row['CandidateLastName']] = row['CandidateVotes']
  33.                 #add the total votes in the county
  34.                 total_votes += int(row['CandidateVotes'])
  35.                 #add total votes to the county dict (updates on last iteration to correct count)
  36.                 results_dict[row['CountyName']]['TotalVotes'] = total_votes
  37.         elif congress in row['OfficeDescription']:
  38.             if congress_county != row['CountyName']:
  39.                 congress_county = row['CountyName']
  40.                 total_congress = int(row['CandidateVotes'])
  41.                 cong_key = row['PartyName']+'Congress'
  42.                 results_dict[congress_county][cong_key] = row['CandidateVotes']
  43.             else:
  44.                 cong_key = row['PartyName']+'Congress'
  45.                 results_dict[congress_county][cong_key] = row['CandidateVotes']
  46.                 total_congress += int(row['CandidateVotes'])
  47.                 results_dict[row['CountyName']]['TotalCongress'] = total_congress
  48.  
  49.  
  50.    
  51. # add the official number of registered voters to the dict
  52. with open('voters.csv',newline='') as csvfile:
  53.     v_reader = csv.DictReader(csvfile,delimiter=',')
  54.     for row in v_reader:
  55.         key = row['CountyName']
  56.         results_dict[key]['VotersRegistered'] = row['Voters']
  57.         turnout = int(results_dict[key]['TotalVotes'])/int(row['Voters'])
  58.         results_dict[key]['Turnout'] = "{:.2%}".format(turnout)
  59.  
  60. #calculate percentages of votes per county and add to county dicts in results_dict
  61. with open('MI_results.csv',newline='') as csvfile:
  62.     res_reader = csv.DictReader(csvfile,delimiter=' ')
  63.     for row2 in res_reader:
  64.         if row2['OfficeDescription'] == office:
  65.             key1 = row2['CountyName']
  66.             key2 = row2['CandidateLastName'] + 'Percent'
  67.             candidate_percent = int(row2['CandidateVotes'])/int(results_dict[row2['CountyName']]['TotalVotes'])
  68.             results_dict[key1][key2] = "{:.2%}".format(candidate_percent)
  69.  
  70.         if congress in row2['OfficeDescription']:
  71.             party_key = row2['PartyName']+'CongressPercent'
  72.             party_percent = int(row2['CandidateVotes'])/int(results_dict[row2['CountyName']]['TotalCongress'])
  73.             results_dict[row2['CountyName']][party_key] = "{:.2%}".format(party_percent)
  74.            
  75.  
  76. for k, v in results_dict.items():
  77.     results_dict[k]['DEMDifference'] = int(results_dict[k]['Biden']) - int(results_dict[k]['DEMCongress'])
  78.     results_dict[k]['REPDifference'] = int(results_dict[k]['Trump']) - int(results_dict[k]['REPCongress'])
  79. print('#########################################################################')
  80. print('********* 2020 Michigan Presidental Election Results by County **********')
  81. print('#########')
  82. print('#########################################################################\n')
  83. county_query = input('Enter a county: ')
  84. county_query = county_query.upper()
  85. if county_query == 'ALL':
  86.     print('\n Results for all Counties: \n')
  87.     for k, v in results_dict.items():
  88.         print(k.capitalize(), ' County: ')
  89.         for k2, v2 in v.items():
  90.             print(k2, ': ', v2)
  91. else:
  92.     print('\n Results for ', county_query, ' County: \n')
  93.     for k, v in results_dict[county_query].items():
  94.         if k == 'Trump' or k == 'TrumpPercent':
  95.             print(k, ": ", v)
  96.         elif k == 'Biden' or k == 'BidenPercent':
  97.             print(k, ": ", v)
  98.         elif k == 'REPCongress' or k == 'REPCongressPercent':
  99.             print(k, ": ", v)
  100.         elif k == 'DEMCongress' or k == 'DEMCongressPercent':
  101.             print(k, ": ", v)
  102.         elif k == 'REPDifference' or k == 'DEMDifference':
  103.             print(k, ": ", v)
  104.         elif k == 'DEMDifference' or k == 'DEMCongressPercent':
  105.             print(k, ": ", v)
  106.  
  107.     print('Total Votes: ',results_dict[county_query]['TotalVotes'])
  108.     print('Total Congress Votes: ',results_dict[county_query]['TotalCongress'])
  109.     print('Registered Voters: ',results_dict[county_query]['VotersRegistered'])
  110.     print('Turnout: ', results_dict[county_query]['Turnout'])
  111.  
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