Fixes typo and and too large dataset.

plot_single_treansmission_paper.py → plot_single_transmission_paper.py

         transmission_df = pd.merge_asof(
             transmission_df,
             serial_df,
-            tolerance=pd.Timedelta("1s"),
+            tolerance=pd.Timedelta("1ms"),
             right_index=True,
             left_index=True,
         )
                 + transmission_df["LTE_SCC4_effective_bw"]
                 + transmission_df["LTE_bw"]
         )
-        bw_cols = ["nr_effective_bw_sum", "lte_effective_bw_sum"]
+        bw_cols = [
+            "SCC1_NR5G_effective_bw",
+            "LTE_bw",
+            "LTE_SCC1_effective_bw",
+            "LTE_SCC2_effective_bw",
+            "LTE_SCC3_effective_bw",
+            "LTE_SCC4_effective_bw",
+        ]
 
         ax_stacked = transmission_df[bw_cols].plot.area(stacked=True, linewidth=0, ax=ax00)
         ax00.set_ylabel("bandwidth [MHz]")
             #labs_ax00 = ["5G bandwidth", "4G bandwidth"]
             #ax00.legend(lns_ax00, labs_ax00, ncols=3, fontsize=9, loc="upper center", frameon=legend_frame)
 
-            L = ax00.legend(ncols=2, fontsize=12, frameon=False)
-            L.get_texts()[0].set_text("5G bandwidth")
-            L.get_texts()[1].set_text("4G bandwidth")
+            L = ax00.legend(ncols=3, fontsize=9, frameon=False)
+            L.get_texts()[0].set_text("5G main")
+            L.get_texts()[1].set_text("4G main")
+            L.get_texts()[2].set_text("4G SCC 1")
+            L.get_texts()[3].set_text("4G SCC 2")
+            L.get_texts()[4].set_text("4G SCC 3")
+            L.get_texts()[5].set_text("4G SCC 4")
 
             #ax00.set_zorder(100)
             plt.savefig("{}{}_plot.eps".format(args.save, csv.replace(".csv", "")), bbox_inches="tight")