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- from collections import defaultdict
- aggregated_data = defaultdict(dict)
- for idx, row in df.iterrows():
- aggregated_data[row.Name][row.Category] = row.Rating
- aggregated_rows = [{"Company": name, **ratings} for name, ratings in aggregated_data.items()]
- result = pd.DataFrame(aggregated_rows)
- result.to_csv('text.csv')
- from collections import defaultdict
- aggregated_data = defaultdict(dict)
- for idx, row in df.iterrows():
- aggregated_data[row.Name][row.Category] = [row.Rating][row.CEO]
- aggregated_rows = [{"Company": name, **ratings, ceo} for name, ratings, ceo_rating in aggregated_data.items()]
- result = pd.DataFrame(aggregated_rows)
- print(result)
- import pandas as pd
- name = ['3M','3M','3M','3M','3M','Google','Google','Google','Google','Google','Apple','Apple','Apple','Apple','Apple']
- number = ['3.8','3.9','3.5','3.6','3.8','4.2','4.0','3.6','3.9','4.2','3.8','4.1','3.7','3.7','4.1']
- category = ['Work/Life Balance',' Salary/Benefits','Job Security/Advancement','Management','Culture','Work/Life Balance',' Salary/Benefits','Job Security/Advancement','Management','Culture','Work/Life Balance',' Salary/Benefits','Job Security/Advancement','Management','Culture']
- ceo_rating = ['85%','85%','85%','85%','85%','86%','86%','86%','86%','86%','84%','84%','84%','84%','84%']
- cols = {'Name':name,'Rating':number,'Category':category, 'CEO':ceo_rating}
- df = pd.DataFrame(cols)
- print(df)
- Name Rating Category CEO
- 0 3M 3.8 Work/Life Balance 85%
- 1 3M 3.9 Salary/Benefits 85%
- 2 3M 3.5 Job Security/Advancement 85%
- 3 3M 3.6 Management 85%
- 4 3M 3.8 Culture 85%
- 5 Google 4.2 Work/Life Balance 86%
- 6 Google 4.0 Salary/Benefits 86%
- 7 Google 3.6 Job Security/Advancement 86%
- 8 Google 3.9 Management 86%
- 9 Google 4.2 Culture 86%
- 10 Apple 3.8 Work/Life Balance 84%
- 11 Apple 4.1 Salary/Benefits 84%
- 12 Apple 3.7 Job Security/Advancement 84%
- 13 Apple 3.7 Management 84%
- 14 Apple 4.1 Culture 84%
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