code: def time_plots(df, path, title=None, color="#4CB391", figformat="png",
                 log_length=False, plot_settings=None):
      
      dfs = check_valid_time_and_sort(df, "start_time")
      logging.info("Nanoplotter: Creating timeplots using {} reads.".format(len(dfs)))
      cumyields = cumulative_yield(dfs=dfs.set_index("start_time"),
                                   path=path,
                                   figformat=figformat,
                                   title=title,
                                   color=color)
      reads_pores_over_time = plot_over_time(dfs=dfs.set_index("start_time"),
                                             path=path,
                                             figformat=figformat,
                                             title=title,
                                             color=color)
      violins = violin_plots_over_time(dfs=dfs,
                                       path=path,
                                       figformat=figformat,
                                       title=title,
                                       log_length=log_length,
                                       plot_settings=plot_settings)
      return cumyields + reads_pores_over_time + violins
docs: Making plots of time vs read length, time vs quality and cumulative yield.