| import pandas as pd | import pandas as pd | ||||
| import matplotlib.pyplot as plt | import matplotlib.pyplot as plt | ||||
| # Using seaborn's style | |||||
| # plt.style.use('seaborn') | |||||
| import seaborn as sns | |||||
| sns.set() | |||||
| tex_fonts = { | tex_fonts = { | ||||
| "pgf.texsystem": "lualatex", | "pgf.texsystem": "lualatex", | ||||
| transmission_df["SCC1_NR5G_effective_bw"] = transmission_df[ | transmission_df["SCC1_NR5G_effective_bw"] = transmission_df[ | ||||
| "SCC1_NR5G_bw" | "SCC1_NR5G_bw" | ||||
| ].fillna(0) | ].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_effective_bw_sum"] = ( | ||||
| transmission_df["LTE_SCC1_effective_bw"] | transmission_df["LTE_SCC1_effective_bw"] | ||||
| + transmission_df["LTE_bw"]) | + transmission_df["LTE_bw"]) | ||||
| transmission_df["nr_effective_bw_sum"] = transmission_df["SCC1_NR5G_effective_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 | # transmission timeline | ||||
| scaley = 1.5 | scaley = 1.5 | ||||
| scalex = 1.0 | scalex = 1.0 |