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Plot pcid and scid.

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This commit is contained in:
Lukas Prause
2023-03-16 15:11:13 +01:00
parent 7a35d5014d
commit 97567140ad
1 changed files with 6 additions and 4 deletions
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10
plot_single_transmission.py
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@@ -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])