fix stacked

plot_single_treansmission_paper.py

@@ -220,22 +220,6 @@ if __name__ == "__main__":
             label="goodput",
         )
 
-        # filter active state
-        for i in range(1, 5):
-            transmission_df["LTE_SCC{}_effective_bw".format(i)] = transmission_df["LTE_SCC{}_bw".format(i)]
-
-            mask = transmission_df["LTE_SCC{}_state".format(i)].isin(["ACTIVE"])
-            transmission_df["LTE_SCC{}_effective_bw".format(i)] = transmission_df[
-                "LTE_SCC{}_effective_bw".format(i)
-            ].where(mask, other=0)
-
-        # filter if sc is usesd for uplink
-        for i in range(1, 5):
-            mask = transmission_df["LTE_SCC{}_UL_Configured".format(i)].isin([False])
-            transmission_df["LTE_SCC{}_effective_bw".format(i)] = transmission_df[
-                "LTE_SCC{}_effective_bw".format(i)
-            ].where(mask, other=0)
-
         # sum all effective bandwidth for 5G and 4G
         transmission_df["SCC1_NR5G_effective_bw"] = transmission_df["SCC1_NR5G_bw"].fillna(0)
         transmission_df["effective_bw_sum"] = (
@@ -246,14 +230,7 @@ if __name__ == "__main__":
                 + transmission_df["LTE_SCC4_effective_bw"]
                 + transmission_df["LTE_bw"]
         )
-        bw_cols = [
-            "SCC1_NR5G_effective_bw",
-            "LTE_bw",
-            "LTE_SCC1_effective_bw",
-            "LTE_SCC2_effective_bw",
-            "LTE_SCC3_effective_bw",
-            "LTE_SCC4_effective_bw",
-        ]
+        bw_cols = ["nr_effective_bw_sum", "lte_effective_bw_sum"]
 
         ax_stacked = transmission_df[bw_cols].plot.area(stacked=True, linewidth=0, ax=ax00)
         ax00.set_ylabel("bandwidth [MHz]")
@@ -290,7 +267,7 @@ if __name__ == "__main__":
             #ax0.set_zorder(100)
 
             lns_ax00 = [ax_stacked]
-            labs_ax00 = [l.get_label() for l in lns_ax00]
+            labs_ax00 = ["5G bandwidth", "4G bandwidth"]
             ax00.legend(lns_ax00, labs_ax00, ncols=3, fontsize=9, loc="upper center", frameon=legend_frame)
             #ax00.set_zorder(100)
             plt.savefig("{}{}_plot.eps".format(args.save, csv.replace(".csv", "")), bbox_inches="tight")