Changes ACK_RTT to sRTT in CDF plot.

plot_transmission_timeline.py

 
     #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")
     transmission_df["goodput"] = transmission_df["goodput"].apply(
 
     p1, = ax.plot(transmission_df["goodput_rolling"], "-", color="blue", label="goodput")
     p2, = twin1.plot(transmission_df["downlink_cqi"], "--", color="green", label="CQI")
-    p3, = twin2.plot(transmission_df["ack_rtt"], "-.", color="red", label="ACK RTT")
+    p3, = twin2.plot(transmission_df["srtt"], "-.", color="red", label="sRTT")
 
     ax.set_xlim(transmission_df["index"].min(), transmission_df["index"].max())
     ax.set_ylim(0, 500)
     ax.set_xlabel("Time")
     ax.set_ylabel("Goodput")
     twin1.set_ylabel("CQI")
-    twin2.set_ylabel("ACK RTT")
+    twin2.set_ylabel("sRTT")
 
     ax.yaxis.label.set_color(p1.get_color())
     twin1.yaxis.label.set_color(p2.get_color())
     # rtt cdf
     plt.clf()
 
-    print(transmission_df["ack_rtt"])
     print("Calculate and polt rtt CDF...")
-    plot_cdf(transmission_df, "ack_rtt")
-    plt.xlabel("ACK RTT [s]")
+    plot_cdf(transmission_df, "srtt")
+    plt.xlabel("sRTT [s]")
     plt.ylabel("CDF")
     plt.xscale("log")
     plt.legend([cc_algo])
     plt.title("{} with {}".format(transmission_direction, cc_algo))
 
     if args.save:
-        plt.savefig("{}{}_cdf_plot.pdf".format(args.save, "ack_rtt"))
+        plt.savefig("{}{}_cdf_plot.pdf".format(args.save, "srtt"))
     else:
         plt.show()