old_contents: #!/usr/bin/env python
  
  # utility script to generate readme information based on CSV and datapackage
  #
  # pip install pandas
  # usage:
  #   python readme_info.py datapackage
  
  import yaml
  import sys
  
  import pandas as pd
  
  
  def readme_info(df, dp_resource):
      print('1. Number of fields: %d\n' % len(df.columns))
      print('2. Number of rows: {:,}\n'.format(len(df)))
      schema_fields = dp_resource['schema']['fields']
  
      assert len(schema_fields) == len(df.columns)
      field_info = {field['name']: field for field in schema_fields}
  
      print('3. Field List:')
      for col in df.columns:
          print('%s : %s' % (col, field_info[col]['description']))
  
  if __name__ == '__main__':
      if len(sys.argv) < 2:
          print('Please provide path to frictionless datapackage file')
          exit(0)
  
      with open(sys.argv[1]) as packageyaml:
          datapackage = yaml.load(packageyaml)
  
      for resource_dict in datapackage['resources']:
          csvfile = resource_dict['path']
          print('Inspecting %s...\n\n' % csvfile)
  
          df = pd.read_csv(csvfile)
          readme_info(df, resource_dict)
  
new_contents: #!/usr/bin/env python
  
  # utility script to generate readme information based on CSV and datapackage
  #
  # pip install pandas
  # usage:
  #   python readme_info.py datapackage
  
  import yaml
  import sys
  
  import pandas as pd
  
  
  def readme_info(df, dp_resource):
      print('1. Number of fields: %d\n' % len(df.columns))
      print('2. Number of rows: {:,}\n'.format(len(df)))
      schema_fields = dp_resource['schema']['fields']
  
      assert len(schema_fields) == len(df.columns)
      field_info = {field['name']: field for field in schema_fields}
  
      print('3. Field List:')
      for col in df.columns:
          print('%s : %s' % (col, field_info[col]['description']))
  
  if __name__ == '__main__':
      if len(sys.argv) < 2:
          print('Please provide path to frictionless datapackage file')
          exit(0)
  
      with open(sys.argv[1]) as packageyaml:
          datapackage = yaml.safe_load(packageyaml)
  
      for resource_dict in datapackage['resources']:
          csvfile = resource_dict['path']
          print('Inspecting %s...\n\n' % csvfile)
  
          df = pd.read_csv(csvfile)
          readme_info(df, resource_dict)
  
subject: Update yaml method to make CodeFactor happy