Fixes typo and and too large dataset.

plot_single_transmission_paper.py

@@ -144,12 +144,6 @@ if __name__ == "__main__":
 
         transmission_df.index = transmission_df["arrival_time"]
 
-        # replace 0 in RSRQ with Nan
-        transmission_df["NR5G_RSRQ_(dB)"] = transmission_df["NR5G_RSRQ_(dB)"].replace(
-            0, np.NaN
-        )
-        transmission_df["RSRQ_(dB)"] = transmission_df["RSRQ_(dB)"].replace(0, np.NaN)
-
         # filter active state
         for i in range(1, 5):
             transmission_df["LTE_SCC{}_effective_bw".format(i)] = transmission_df[
@@ -159,14 +153,16 @@ if __name__ == "__main__":
             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)
+            ].where(mask, other=np.NaN)
+            transmission_df["LTE_SCC{}_effective_bw".format(i)].dropna()
 
         # 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)
+            ].where(mask, other=np.nan)
+            transmission_df["LTE_SCC{}_effective_bw".format(i)].dropna()
 
         # sum all effective bandwidth for 5G and 4G
         transmission_df["SCC1_NR5G_effective_bw"] = transmission_df[