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Adds rolling window for goodput

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langspielplatte
2023-01-17 12:26:15 +01:00
parent 881495b3d0
commit 7d134fc34a
1 changed files with 7 additions and 3 deletions
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10
plot_transmission_timeline.py
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@@ -150,17 +150,21 @@ if __name__ == "__main__":
# key for columns and level for index
transmission_df["goodput"] = transmission_df["payload_size"].groupby(pd.Grouper(level="datetime", freq="{}s".format(args.interval))).transform("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
)
transmission_df["goodput_rolling"] = transmission_df["payload_size"].rolling("{}s".format(args.interval)).sum()
transmission_df["goodput_rolling"] = transmission_df["goodput_rolling"].apply(
lambda x: ((x * 8) / args.interval) / 10 ** 6
)
# set meta values and remove all not needed columns
cc_algo = transmission_df["congestion_control"].iloc[0]
cc_algo = cc_algo.upper()
transmission_direction = transmission_df["direction"].iloc[0]
transmission_df = transmission_df.filter(["goodput", "datetime", "ack_rtt"])
transmission_df = transmission_df.filter(["goodput", "datetime", "ack_rtt", "goodput_rolling"])
# read serial csv
serial_df = pd.read_csv(args.serial_file)
@@ -193,7 +197,7 @@ if __name__ == "__main__":
plt.subplots_adjust()
host.plot(transmission_df["goodput"], "-", color="blue", label="goodput")
host.plot(transmission_df["goodput_rolling"], "-", color="blue", label="goodput")
host.set_xlabel("datetime")
host.set_ylabel("goodput [Mbps]")