From a8e5ce0dbd34ad2cbb8d38e8f1d8374925745752 Mon Sep 17 00:00:00 2001 From: Langspielplatte Date: Thu, 12 Jan 2023 10:26:49 +0100 Subject: [PATCH] Changes goodput calculation. --- plot_transmission_timeline.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/plot_transmission_timeline.py b/plot_transmission_timeline.py index bcea585..0d3f9c9 100755 --- a/plot_transmission_timeline.py +++ b/plot_transmission_timeline.py @@ -148,11 +148,15 @@ 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)) + #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() + #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), step="{}s".format(args.interval)).sum() transmission_df["goodput"] = transmission_df["goodput"].apply( lambda x: ((x * 8) / args.interval) / 10**6 )