From 0f67ef76a8bcecbf7023ae63f0a7955d6c8e136d Mon Sep 17 00:00:00 2001 From: Langspielplatte Date: Thu, 12 Jan 2023 09:43:42 +0100 Subject: [PATCH] Changes goodput calculation. --- plot_transmission_timeline.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/plot_transmission_timeline.py b/plot_transmission_timeline.py index 9d4b260..27ed468 100755 --- a/plot_transmission_timeline.py +++ b/plot_transmission_timeline.py @@ -147,14 +147,14 @@ if __name__ == "__main__": print(transmission_df) - range_start_time = transmission_df["datetime"].min() + range_start_time = transmission_df.index.min() range_sum_interval = "{}s".format(args.interval) # create timedelta range with maximum timedelta - time_range = pd.timedelta_range(pd.Timedelta(range_start_time), transmission_df["datetime"].max(), freq=range_sum_interval) + time_range = pd.timedelta_range(pd.Timedelta(range_start_time), transmission_df.index.max(), freq=range_sum_interval) # create bins by pd.cut, aggregate sum - transmission_df = transmission_df.groupby(pd.cut(transmission_df["datetime"], bins=time_range, labels=time_range[:-1]))["goodput"].sum().reset_index() + transmission_df = transmission_df.groupby(pd.cut(transmission_df.index, bins=time_range, labels=time_range[:-1]))["goodput"].sum().reset_index() #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