Fixes typo and and too large dataset.

plot_single_transmission_paper.py

             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=np.NaN)
-            transmission_df["LTE_SCC{}_effective_bw".format(i)].dropna()
+            ].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=np.nan)
-            transmission_df["LTE_SCC{}_effective_bw".format(i)].dropna()
+            ].where(mask, other=0)
 
         # sum all effective bandwidth for 5G and 4G
         transmission_df["SCC1_NR5G_effective_bw"] = transmission_df[
             "LTE_SCC4_effective_bw",
         ]
 
+
+        transmission_df.to_csv("{}{}_plot.csv".format(args.save, csv.replace(".csv", "")))
+        exit()
+
         ax_stacked = transmission_df[bw_cols].plot.area(stacked=True, linewidth=0, ax=ax00)
         ax00.set_ylabel("bandwidth [MHz]")
         #ax.set_xlabel("time [minutes]")