Adds DL_bandwidth to plot.

plot_single_transmission_timeline.py

@@ -10,6 +10,23 @@ import pandas as pd
 import matplotlib.pyplot as plt
 
 
+def convert_bandwidth(value):
+    if value == 0:
+        return 1.4
+    elif value == 1:
+        return 3
+    elif value == 2:
+        return 5
+    elif value == 3:
+        return 10
+    elif value == 4:
+        return 15
+    elif value == 5:
+        return 20
+    else:
+        return 0
+
+
 if __name__ == "__main__":
     parser = ArgumentParser()
     parser.add_argument("-s", "--serial_file", required=True, help="Serial csv file.")
@@ -49,7 +66,9 @@ if __name__ == "__main__":
             transmission_df = pd.read_csv(
                 "{}{}".format(args.pcap_csv_folder, csv),
                 dtype=dict(is_retranmission=bool, is_dup_ack=bool),
+                converters={"UL_bandwidth": convert_bandwidth, "DL_bandwidth": convert_bandwidth},
             )
+
             transmission_df["datetime"] = pd.to_datetime(transmission_df["datetime"]) - pd.Timedelta(hours=1)
             transmission_df = transmission_df.set_index("datetime")
             transmission_df.index = pd.to_datetime(transmission_df.index)
@@ -102,10 +121,12 @@ if __name__ == "__main__":
             twin1 = ax.twinx()
             twin2 = ax.twinx()
             twin3 = ax.twinx()
+            twin4 = 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", 1.1))
             twin3.spines.right.set_position(("axes", 1.2))
+            twin4.spines.right.set_position(("axes", 1.3))
 
 
             # create list fo color indices
@@ -135,18 +156,21 @@ if __name__ == "__main__":
             p3, = twin2.plot(transmission_df["srtt"].dropna(), color="red", linestyle="dashdot", label="sRTT")
             p1, = ax.plot(transmission_df["goodput_rolling"], color="blue", linestyle="solid", label="goodput")
             p2, = twin1.plot(transmission_df["downlink_cqi"].dropna(), color="magenta", linestyle="dotted", label="CQI")
+            p5, = twin4.plot(transmission_df["DL_bandwidth"].dropna(), color="peru", linestyle="dotted", label="DL_bandwidth")
 
             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, 0.2) #twin2.set_ylim(0, transmission_df["ack_rtt"].max())
             twin3.set_ylim(0, transmission_df["snd_cwnd"].max() + 10)
+            twin4.set_ylim(0, 21)
 
             ax.set_xlabel("arrival time")
             ax.set_ylabel("Goodput [mbps]")
             twin1.set_ylabel("CQI")
             twin2.set_ylabel("sRTT [s]")
             twin3.set_ylabel("cwnd")
+            twin4.set_ylabel("DL_bandwidth")
 
             ax.yaxis.label.set_color(p1.get_color())
             twin1.yaxis.label.set_color(p2.get_color())