Changes goodput calculation.

This commit is contained in:
Lukas Prause
2023-01-12 12:44:49 +01:00
parent ec0195de38
commit 8a9806bb6a

View File

@@ -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
)
@@ -227,3 +220,5 @@ if __name__ == "__main__":
plt.savefig("{}{}_cdf_plot.pdf".format(args.save, "goodput"))
else:
plt.show()
print(transmission_df)