Adds plot for cdf.

plot_transmission_timeline.py

@@ -12,7 +12,6 @@ import matplotlib.pyplot as plt
 from mpl_toolkits import axisartist
 from mpl_toolkits.axes_grid1 import host_subplot
 
-from util import chunk_list
 
 
 def csv_to_dataframe(csv_list, dummy):
@@ -190,3 +189,29 @@ if __name__ == "__main__":
         plt.savefig("{}timeline_plot.pdf".format(args.save))
     else:
         plt.show()
+
+    plt.clf()
+
+    # Get the frequency, PDF and CDF for each value in the series
+
+    # Frequency
+    stats_df = transmission_df \
+        .groupby("goodput") \
+        ["goodput"] \
+        .agg("count") \
+        .pipe(pd.DataFrame) \
+        .rename(columns={"goodput": 'frequency'})
+
+    # PDF
+    stats_df['pdf'] = stats_df['frequency'] / sum(stats_df['frequency'])
+
+    # CDF
+    stats_df['cdf'] = stats_df['pdf'].cumsum()
+    stats_df = stats_df.reset_index()
+
+    stats_df.plot(x="goodput", y=["cdf"], grid=True)
+
+    if args.save:
+        plt.savefig("{}cdf_plot.pdf".format(args.save))
+    else:
+        plt.show()