| @@ -9,8 +9,8 @@ import numpy as np | |||
| import pandas as pd | |||
| import matplotlib.pyplot as plt | |||
| # Using seaborn's style | |||
| # plt.style.use('seaborn') | |||
| import seaborn as sns | |||
| sns.set() | |||
| tex_fonts = { | |||
| "pgf.texsystem": "lualatex", | |||
| @@ -168,14 +168,6 @@ if __name__ == "__main__": | |||
| transmission_df["SCC1_NR5G_effective_bw"] = transmission_df[ | |||
| "SCC1_NR5G_bw" | |||
| ].fillna(0) | |||
| transmission_df["effective_bw_sum"] = ( | |||
| transmission_df["SCC1_NR5G_effective_bw"] | |||
| + transmission_df["LTE_SCC1_effective_bw"] | |||
| + transmission_df["LTE_SCC2_effective_bw"] | |||
| + transmission_df["LTE_SCC3_effective_bw"] | |||
| + transmission_df["LTE_SCC4_effective_bw"] | |||
| + transmission_df["LTE_bw"] | |||
| ) | |||
| transmission_df["lte_effective_bw_sum"] = ( | |||
| transmission_df["LTE_SCC1_effective_bw"] | |||
| @@ -185,6 +177,8 @@ if __name__ == "__main__": | |||
| + transmission_df["LTE_bw"]) | |||
| transmission_df["nr_effective_bw_sum"] = transmission_df["SCC1_NR5G_effective_bw"] | |||
| transmission_df["effective_bw_sum"] = transmission_df["nr_effective_bw_sum"] + transmission_df["lte_effective_bw_sum"] | |||
| # transmission timeline | |||
| scaley = 1.5 | |||
| scalex = 1.0 | |||