Adds cooloring for cell ids.

plot_transmission_timeline.py

 from math import ceil
 from time import sleep
 
+import matplotlib
 import pandas as pd
 import matplotlib.pyplot as plt
 from mpl_toolkits import axisartist
         left_index=True,
     )
 
+    cc_algo = transmission_df["congestion_control"].iloc[0]
+    cc_algo = cc_algo.upper()
+
+    transmission_direction = transmission_df["direction"].iloc[0]
+
+    # transmission timeline
+
     scaley = 1.5
     scalex = 1.0
     plt.figure(figsize=[6.4 * scaley, 4.8 * scalex])
+    plt.title("{} with {}".format(transmission_direction, cc_algo))
 
     host = host_subplot(111, axes_class=axisartist.Axes)
+
+    cmap = matplotlib.cm.get_cmap("Set3")
+    for c in transmission_df["cellID"].unique():
+        bounds = transmission_df[["cellID"]].groupby("color").agg(["min", "max"]).loc[c]
+        host.axvspan(bounds.min(), bounds.max() + 1, alpha=0.3, color=cmap.colors[c])
+
+
     plt.subplots_adjust()
 
     # additional y axes
     par12.axis["right"].toggle(all=True)
     # par13.axis["right"].toggle(all=True)
 
-    host.plot(transmission_df["goodput"], "-", color="blue", label="goodput" )
+    host.plot(transmission_df["goodput"], "-", color="blue", label="goodput")
     host.set_xlabel("datetime")
     host.set_ylabel("goodput [Mbps]")
-    #host.set_ylim([0, 13])
-    #host.set_yscale("log")
-    #host.set_yscale("log")
-    #host.set_yscale("log")
-    #host.set_yscale("log")
 
     par11.plot(transmission_df["downlink_cqi"], "--", color="green", label="CQI")
     par11.set_ylabel("CQI")
     par11.set_ylim([0, 15])
 
-    par12.plot()
+    par12.plot(transmission_df["ach_rtt"], "-.", color="red", label="ACK RTT")
+    par12.set_ylabel("ACK RTT [s]")
+    par12.set_ylim([0, 5])
 
     if args.save:
         plt.savefig("{}timeline_plot.pdf".format(args.save))
     plot_cdf(transmission_df, "goodput")
     plt.xlabel("goodput [mbps]")
     plt.ylabel("CDF")
-    plt.legend(["BBR"])
+    plt.legend([cc_algo])
+    plt.title("{} with {}".format(transmission_direction, cc_algo))
 
     if args.save:
         plt.savefig("{}{}_cdf_plot.pdf".format(args.save, "goodput"))
     plot_cdf(transmission_df, "ack_rtt")
     plt.xlabel("ACK RTT [s]")
     plt.ylabel("CDF")
-    plt.legend(["BBR"])
+    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"))