Removes correlation plot.

plot_single_transmission_timeline.py

@@ -163,29 +163,6 @@ if __name__ == "__main__":
         if args.save:
             plt.savefig("{}{}_plot.pdf".format(args.save, csv.replace(".csv", "")))
 
-
-        # plot correlations
-        corr_pairs = [
-            ["goodput_rolling", "RSRQ"],
-            ["goodput_rolling", "RSRP"],
-            ["goodput_rolling", "RSSI"],
-            ["goodput_rolling", "SINR"],
-            ["goodput_rolling", "downlink_cqi"],
-        ]
-
-        for pair in corr_pairs:
-            # spearman and pearson
-            sp = transmission_df[pair[0]].corr(transmission_df[pair[1]], method="spearman")
-            pe = transmission_df[pair[0]].corr(transmission_df[pair[1]], method="pearson")
-            title = "{}/{} spearman: {} pearson: {}".format(pair[0], pair[1], round(sp, 4), round(pe, 4))
-            transmission_df.plot.scatter(x=pair[0], y=pair[1], c="DarkBlue", title=title)
-
-            if args.save:
-                plt.savefig("{}{}_corr_{}_and_{}.pdf".format(args.save, csv.replace(".csv", ""), pair[0], pair[1]))
-
-            plt.clf()
-
-
         counter += 1
 
         plt.clf()