old_contents: import pandas as pd
  from argparse import ArgumentParser
  
  
  def main():
      parser = ArgumentParser(
          description="Add barcode_arrangement to sequencing_summary.txt using barcoding_summary.txt")
      parser.add_argument("sequencing_summary",
                          help="sequencing_summary.txt from guppy, can be compressed.")
      parser.add_argument("barcoding_summary",
                          help="barcoding_summary.txt from guppy, can be compressed.")
      args = parser.parse_args()
      bc = pd.read_csv(args.barcoding_summary, sep="\t", usecols=['read_id', 'barcode_arrangement'])
      df = pd.read_csv(args.sequencing_summary, sep="\t")
      df.join(bc.set_index('read_id'), on='read_id') \
        .to_csv("barcoded_sequencing_summary.txt", sep="\t", index=False)
  
  
  if __name__ == '__main__':
      main()
  
new_contents: import pandas as pd
  from argparse import ArgumentParser
  
  
  def main():
      parser = ArgumentParser(
          description="Add barcode_arrangement to sequencing_summary.txt using barcoding_summary.txt")
      parser.add_argument("sequencing_summary",
                          help="sequencing_summary.txt from guppy, can be compressed.")
      parser.add_argument("barcoding_summary",
                          help="barcoding_summary.txt from guppy, can be compressed.")
      args = parser.parse_args()
      bc = pd.read_csv(args.barcoding_summary, sep="\t", usecols=['read_id', 'barcode_arrangement'])
      df = pd.read_csv(args.sequencing_summary, sep="\t")
      df.join(bc.set_index('read_id'), on='read_id') \
        .to_csv(path_or_buf="barcoded_sequencing_summary.txt.gz",
                sep="\t",
                compression="gzip",
                index=False)
  
  
  if __name__ == '__main__':
      main()
  
subject: save as compressed summary