Changes ACK RTT to srtt and adds arrival time on x-axis.

plot_single_transmission_timeline.py

         transmission_df.index = pd.to_datetime(transmission_df.index)
         transmission_df = transmission_df.sort_index()
 
-        #print("Calculate goodput...")
-
-        #print(transmission_df)
+        # srtt to [s]
+        transmission_df["srtt"] = transmission_df["srtt"].apply(lambda x: x / 10**6)
 
         # 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")
             ax.axvspan(bounds.min(), bounds.max(), alpha=0.3, color=color_list[c])
 
         p4, = twin3.plot(transmission_df["snd_cwnd"].dropna(), color="lime", linestyle="dashed", label="cwnd")
-        p3, = twin2.plot(transmission_df["ack_rtt"].dropna(), color="red", linestyle="dashdot", label="ACK RTT")
-        p1, = ax.plot(transmission_df["goodput_rolling"], color="blue", linestyle="solid", label="goodput")
+        p3, = twin2.plot(transmission_df["srtt"].dropna(), color="red", linestyle="dashdot", label="sRTT")
+        p1, = ax.plot(transmission_df["arrival_time"], transmission_df["goodput_rolling"], color="blue", linestyle="solid", label="goodput")
         p2, = twin1.plot(transmission_df["downlink_cqi"].dropna(), color="magenta", linestyle="dotted", label="CQI")
 
         ax.set_xlim(transmission_df["index"].min(), transmission_df["index"].max())
         ax.set_xlabel("arrival time")
         ax.set_ylabel("Goodput [mbps]")
         twin1.set_ylabel("CQI")
-        twin2.set_ylabel("ACK RTT [s]")
+        twin2.set_ylabel("sRTT [s]")
         twin3.set_ylabel("cwnd")
 
         ax.yaxis.label.set_color(p1.get_color())