docs: def help_dataframe(self):
          """ Help for making a DataFrame with Workbench CLI """
          help =  '%sMaking a DataFrame: %s how to make a dataframe from raw data (pcap, memory, pe files)' % (color.Yellow, color.Green)
          help += '\n\t%sNote: for memory_image and pe_files see > help dataframe_memory or dataframe_pe'  % (color.Green)
          help += '\n\n%sPCAP Example:'  % (color.Green)
          help += '\n\t%s> load_sample /path/to/pcap/gold_xxx.pcap [\'bad\', \'threatglass\']' % (color.LightBlue)
          help += '\n\t%s> view     # view is your friend use it often' % (color.LightBlue)
          help += '\n\n%sGrab the http_log from the pcap (also play around with other logs):'  % (color.Green)
          help += '\n\t%s> http_log_md5 = view()[\'view\'][\'bro_logs\'][\'http_log\']' % (color.LightBlue)
          help += '\n\t%s> http_log_md5 (returns the md5 of the http_log)' % (color.LightBlue)
          help += '\n\n%sStream back the ^contents^ of the http_log:'  % (color.Green)
          help += '\n\t%s> http_log = stream_sample(http_log_md5)' % (color.LightBlue)     
          help += '\n\n%sPut the http_log into a dataframe:'  % (color.Green)
          help += '\n\t%s> http_df = pd.DataFrame(http_log)' % (color.LightBlue)
          help += '\n\t%s> http_df.head()' % (color.LightBlue)
          help += '\n\t%s> http_df.groupby([\'host\',\'id.resp_h\',\'resp_mime_types\'])[[\'response_body_len\']].sum()' % (color.LightBlue)
          help += '\n\t%s> http_df.describe() %s' % (color.LightBlue, color.Normal)
          return help