Changes goodput calculation.

This commit is contained in:
2023-01-12 10:26:49 +01:00
parent 27590e4ed6
commit a8e5ce0dbd

View File

@@ -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
)