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Changes goodput calculation.

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langspielplatte
2023-01-12 10:26:49 +01:00
parent 27590e4ed6
commit a8e5ce0dbd
1 changed files with 7 additions and 3 deletions
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10
plot_transmission_timeline.py
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@@ -148,11 +148,15 @@ if __name__ == "__main__":
print(transmission_df) print(transmission_df)
# create timedelta range with maximum timedelta # 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 # 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.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["payload_size"].rolling("{}s".format(args.interval), step="{}s".format(args.interval)).sum()
transmission_df["goodput"] = transmission_df["goodput"].apply( transmission_df["goodput"] = transmission_df["goodput"].apply(
lambda x: ((x * 8) / args.interval) / 10**6 lambda x: ((x * 8) / args.interval) / 10**6
) )