Fixes typo and and too large dataset.

This commit is contained in:
Lukas Prause
2023-07-12 14:36:21 +02:00
parent 951bac5f1e
commit a97563fe61

View File

@@ -153,16 +153,14 @@ if __name__ == "__main__":
mask = transmission_df["LTE_SCC{}_state".format(i)].isin(["ACTIVE"]) mask = transmission_df["LTE_SCC{}_state".format(i)].isin(["ACTIVE"])
transmission_df["LTE_SCC{}_effective_bw".format(i)] = transmission_df[ transmission_df["LTE_SCC{}_effective_bw".format(i)] = transmission_df[
"LTE_SCC{}_effective_bw".format(i) "LTE_SCC{}_effective_bw".format(i)
].where(mask, other=np.NaN) ].where(mask, other=0)
transmission_df["LTE_SCC{}_effective_bw".format(i)].dropna()
# filter if sc is usesd for uplink # filter if sc is usesd for uplink
for i in range(1, 5): for i in range(1, 5):
mask = transmission_df["LTE_SCC{}_UL_Configured".format(i)].isin([False]) mask = transmission_df["LTE_SCC{}_UL_Configured".format(i)].isin([False])
transmission_df["LTE_SCC{}_effective_bw".format(i)] = transmission_df[ transmission_df["LTE_SCC{}_effective_bw".format(i)] = transmission_df[
"LTE_SCC{}_effective_bw".format(i) "LTE_SCC{}_effective_bw".format(i)
].where(mask, other=np.nan) ].where(mask, other=0)
transmission_df["LTE_SCC{}_effective_bw".format(i)].dropna()
# sum all effective bandwidth for 5G and 4G # sum all effective bandwidth for 5G and 4G
transmission_df["SCC1_NR5G_effective_bw"] = transmission_df[ transmission_df["SCC1_NR5G_effective_bw"] = transmission_df[
@@ -235,6 +233,10 @@ if __name__ == "__main__":
"LTE_SCC4_effective_bw", "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) ax_stacked = transmission_df[bw_cols].plot.area(stacked=True, linewidth=0, ax=ax00)
ax00.set_ylabel("bandwidth [MHz]") ax00.set_ylabel("bandwidth [MHz]")
#ax.set_xlabel("time [minutes]") #ax.set_xlabel("time [minutes]")