Changes goodput calculation.

plot_transmission_timeline.py

@@ -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
     )