code: def make_related_protein_fasta_from_dataframe(self, input_df):
  
          '''
          DataFrame should have 
          '''
  
          dirname = './group_fastas'
  
          if not os.path.exists(dirname):
              os.makedirs(dirname)
  
          unique_hit_queries = set(input_df.hit_query)
  
          for hq in unique_hit_queries:
  
              fasta = []
  
              subdf = input_df[input_df.hit_query==hq].reset_index()
  
              for i in range(0, len(subdf)):
  
                  fasta.append('>' + subdf.ix[i].org_name.replace(" ", "-") +
                               "," + subdf.ix[i].hit_query +
                               "," + subdf.ix[i].prot_acc + 
                               '\n' + subdf.ix[i].prot_translation + '\n')
  
              faastring = "".join(fasta)
  
              filename = './group_fastas/' + hq + '.fasta'
              write_fasta = open(filename, 'w')
              write_fasta.write(faastring)
              write_fasta.close(f make_related_protein_fasta_from_dataframe(self, input_df):
  
          '''
          DataFrame should have 
          '''
  
          dirname = './group_fastas'
  
          if not os.path.exists(dirname):
              os.makedirs(dirname)
  
          unique_hit_queries = set(input_df.hit_query)
  
          for hq in unique_hit_queries:
  
              fasta = []
  
              subdf = input_df[input_df.hit_query==hq].reset_index()
  
              for i in range(0, len(subdf)):
  
                  fasta.append('>' + subdf.ix[i].org_name.replace(" ", "-") +
                               "," + subdf.ix[i].hit_query +
                               "," + subdf.ix[i].prot_acc + 
                               '\n' + subdf.ix[i].prot_translation + '\n')
  
              faastring = "".join(fasta)
  
              filename = './group_fastas/' + hq + '.fasta'
              write_fasta = open(filename, 'w')
              write_fasta.write(faastring)
              write_fasta.close()
docs: DataFrame should have