old_contents: import requests
  import progressbar
  import pandas as pd
  
  bar = progressbar.ProgressBar()
  
  
  def create_civic_drug_disease_dataframe():
      payload = {'count': 999}  # Only 295 genes at time of writing
      request = requests.get('https://civic.genome.wustl.edu/api/genes/', params=payload)
      assert request.status_code == 200, 'Request failed: {}'.format(request.status_code)
  
  
      records = request.json()['records']
  
      # Create records in the format:  Cancer, Gene, Drugs, Variant-Name, Aliases, Description
      info = []
      for record in bar(records):
          gene = record['name']
          description = record['description']
          aliases = ','.join(record['aliases'])
          variants = record['variants']
  
          for variant in variants:
              var_name = variant['name']
              var_id = variant['id']
              var = requests.get('https://civic.genome.wustl.edu/api/variants/{}'.format(var_id)).json()
              for evidence in var['evidence_items']:
                  disease = evidence['disease']['name']
                  drugs = ','.join([x['name'] for x in evidence['drugs']])
                  info.append((disease, drugs, gene, aliases, var_name, description))
  
      # Create DataFrame
      labels = ['Cancer', 'Drugs', 'Gene', 'Aliases', 'Variant-Name', 'Description']
      return pd.DataFrame.from_records(info, columns=labels)
  
new_contents: import pandas as pd
  import progressbar
  import requests
  
  bar = progressbar.ProgressBar()
  
  
  def create_civic_drug_disease_dataframe():
      """
      Hits CIViC's API to build a dataframe on genes, cancers, and drugs
  
      :return: Dataframe of CIVIC information
      :rtype: pd.DataFrame
      """
      payload = {'count': 999}  # Only 295 genes at time of writing
      request = requests.get('https://civic.genome.wustl.edu/api/genes/', params=payload)
      assert request.status_code == 200, 'Request failed: {}'.format(request.status_code)
  
      records = request.json()['records']
  
      # Create records in the format:  Cancer, Gene, Drugs, Variant-Name, Aliases, Description
      info = []
      for record in bar(records):
          gene = record['name']
          description = record['description']
          aliases = ','.join(record['aliases'])
          variants = record['variants']
  
          for variant in variants:
              var_name = variant['name']
              var_id = variant['id']
              var = requests.get('https://civic.genome.wustl.edu/api/variants/{}'.format(var_id)).json()
              for evidence in var['evidence_items']:
                  disease = evidence['disease']['name']
                  drugs = ','.join([x['name'] for x in evidence['drugs']])
                  info.append((disease, drugs, gene, aliases, var_name, description))
  
      # Create DataFrame
      labels = ['Cancer', 'Drugs', 'Gene', 'Aliases', 'Variant-Name', 'Description']
      return pd.DataFrame.from_records(info, columns=labels)
  
subject: Add docstring, optimize imports