From 8a9806bb6a29b9c26b4bd57bddc6eb9f7f8343ec Mon Sep 17 00:00:00 2001 From: Lukas Prause Date: Thu, 12 Jan 2023 12:44:49 +0100 Subject: [PATCH] Changes goodput calculation. --- plot_transmission_timeline.py | 17 ++++++----------- 1 file changed, 6 insertions(+), 11 deletions(-) diff --git a/plot_transmission_timeline.py b/plot_transmission_timeline.py index a0d7219..83a4b0d 100755 --- a/plot_transmission_timeline.py +++ b/plot_transmission_timeline.py @@ -147,16 +147,9 @@ if __name__ == "__main__": print(transmission_df) - # create timedelta range with maximum timedelta - #time_range = pd.date_range(transmission_df.index.min(), transmission_df.index.max(), freq="{}s".format(args.interval)) - - # create bins by pd.cut, aggregate sum - #transmission_df["goodput"] = transmission_df.groupby(pd.cut(transmission_df.index, bins=time_range, labels=time_range[:-1]))["payload_size"].sum().reset_index()["payload_size"] - - - - - transmission_df["goodput"] = transmission_df["payload_size"].rolling("{}s".format(args.interval)).sum() + # key for columns and level for index + transmission_df["goodput"] = transmission_df.groupby(pd.Grouper(level="datetime", freq="{}s".format(args.interval))).sum() + #transmission_df["goodput"] = transmission_df["payload_size"].rolling("{}s".format(args.interval)).sum() transmission_df["goodput"] = transmission_df["goodput"].apply( lambda x: ((x * 8) / args.interval) / 10**6 ) @@ -226,4 +219,6 @@ if __name__ == "__main__": if args.save: plt.savefig("{}{}_cdf_plot.pdf".format(args.save, "goodput")) else: - plt.show() \ No newline at end of file + plt.show() + + print(transmission_df) \ No newline at end of file