Changes goodput calculation.

plot_transmission_timeline.py

@@ -147,14 +147,14 @@ if __name__ == "__main__":
 
     print(transmission_df)
 
-    range_start_time = transmission_df["datetime"].min()
+    range_start_time = transmission_df.index.min()
     range_sum_interval = "{}s".format(args.interval)
 
     # create timedelta range with maximum timedelta
-    time_range = pd.timedelta_range(pd.Timedelta(range_start_time), transmission_df["datetime"].max(), freq=range_sum_interval)
+    time_range = pd.timedelta_range(pd.Timedelta(range_start_time), transmission_df.index.max(), freq=range_sum_interval)
 
     # create bins by pd.cut, aggregate sum
-    transmission_df = transmission_df.groupby(pd.cut(transmission_df["datetime"], bins=time_range, labels=time_range[:-1]))["goodput"].sum().reset_index()
+    transmission_df = transmission_df.groupby(pd.cut(transmission_df.index, bins=time_range, labels=time_range[:-1]))["goodput"].sum().reset_index()
     #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