Background color for cell id.

plot_transmission_timeline.py

     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)
-    plt.subplots_adjust()
+    fig, ax = plt.subplots()
+    fig.subplots_adjust(right=0.75)
+
+    twin1 = ax.twinx()
+    twin2 = ax.twinx()
+    # Offset the right spine of twin2.  The ticks and label have already been
+    # placed on the right by twinx above.
+    twin2.spines.right.set_position(("axes", 1.2))
+
 
     # create list fo color indices
     transmission_df["index"] = transmission_df.index
     cmap = matplotlib.cm.get_cmap("Set3")
     for c in transmission_df["cell_color"].unique():
         bounds = transmission_df[["index", "cell_color"]].groupby("cell_color").agg(["min", "max"]).loc[c]
-        host.axvspan(bounds.min(), bounds.max(), alpha=0.3, color=cmap.colors[c])
-
-
-    host.plot(transmission_df["goodput_rolling"], "-", color="blue", label="goodput")
-    host.set_xlabel("datetime")
-    host.set_ylabel("goodput [Mbps]")
-    host.set_ylim([0, 500])
+        ax.axvspan(bounds.min(), bounds.max(), alpha=0.3, color=cmap.colors[c])
 
-    # additional y axes
-    par11 = host.twinx()
-    par12 = host.twinx()
-    #par13 = host.twinx()
+    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")
 
-    # axes offset
-    par12.axis["right"] = par12.new_fixed_axis(loc="right", offset=(60, 0))
-    #par13.axis["right"] = par13.new_fixed_axis(loc="right", offset=(120, 0))
+    ax.set_xlim(transmission_df["index"].min(), transmission_df["index"].max())
+    ax.set_ylim(0, 500)
+    twin1.set_ylim(0, 15)
+    twin2.set_ylim(0, 1)
 
-    par11.axis["right"].toggle(all=True)
-    par12.axis["right"].toggle(all=True)
-    #par13.axis["right"].toggle(all=True)
+    ax.set_xlabel("Time")
+    ax.set_ylabel("Goodput")
+    twin1.set_ylabel("CQI")
+    twin2.set_ylabel("ACK RTT")
 
-    par11.plot(transmission_df["downlink_cqi"], "--", color="green", label="CQI")
-    par11.set_ylabel("CQI")
-    par11.set_ylim([0, 15])
+    ax.yaxis.label.set_color(p1.get_color())
+    twin1.yaxis.label.set_color(p2.get_color())
+    twin2.yaxis.label.set_color(p3.get_color())
 
-    par12.plot(transmission_df["ack_rtt"], "-.", color="red", label="ACK RTT")
-    par12.set_ylabel("ACK RTT [s]")
-    par12.set_ylim([0, 1])
+    tkw = dict(size=4, width=1.5)
+    ax.tick_params(axis='y', colors=p1.get_color(), **tkw)
+    twin1.tick_params(axis='y', colors=p2.get_color(), **tkw)
+    twin2.tick_params(axis='y', colors=p3.get_color(), **tkw)
+    ax.tick_params(axis='x', **tkw)
 
+    ax.legend(handles=[p1, p2, p3])
 
     if args.save:
         plt.savefig("{}timeline_plot.pdf".format(args.save))