Plot pcid and scid.

plot_single_transmission.py

@@ -122,6 +122,12 @@ if __name__ == "__main__":
             unique_cells = transmission_df["lte_cell_color"].unique()
             color_list = cmap.colors * (round(len(unique_cells) / len(cmap.colors)) + 1)
 
+            transmission_df["index"] = transmission_df.index
+            for c in transmission_df["lte_cell_color"].unique():
+                bounds = transmission_df[["index", "lte_cell_color"]].groupby("lte_cell_color").agg(["min", "max"]).loc[
+                    c]
+                ax0.axvspan(bounds.min(), bounds.max(), alpha=0.1, color=color_list[c])
+
             # create list fo color indices for nr cells
             color_dict = dict()
             color_list = list()
@@ -140,10 +146,6 @@ if __name__ == "__main__":
             unique_cells = transmission_df["nr_cell_color"].unique()
             color_list = cmap.colors * (round(len(unique_cells) / len(cmap.colors)) + 1)
 
-            transmission_df["index"] = transmission_df.index
-            for c in transmission_df["lte_cell_color"].unique():
-                bounds = transmission_df[["index", "lte_cell_color"]].groupby("lte_cell_color").agg(["min", "max"]).loc[c]
-                ax0.axvspan(bounds.min(), bounds.max(), alpha=0.1, color=color_list[c])
             for c in transmission_df["nr_cell_color"].unique():
                 bounds = transmission_df[["index", "nr_cell_color"]].groupby("nr_cell_color").agg(["min", "max"]).loc[c]
                 ax00.axvspan(bounds.min(), bounds.max(), alpha=0.1, color=color_list[c])