| lambda x: ((x * 8) / args.interval) / 10**6 | lambda x: ((x * 8) / args.interval) / 10**6 | ||||
| ) | ) | ||||
| # remove all not needed columns | |||||
| # set meta values and remove all not needed columns | |||||
| cc_algo = transmission_df["congestion_control"].iloc[0] | |||||
| cc_algo = cc_algo.upper() | |||||
| transmission_direction = transmission_df["direction"].iloc[0] | |||||
| transmission_df = transmission_df.filter(["goodput", "datetime", "ack_rtt"]) | transmission_df = transmission_df.filter(["goodput", "datetime", "ack_rtt"]) | ||||
| # read serial csv | # read serial csv | ||||
| left_index=True, | left_index=True, | ||||
| ) | ) | ||||
| cc_algo = transmission_df["congestion_control"].iloc[0] | |||||
| cc_algo = cc_algo.upper() | |||||
| transmission_direction = transmission_df["direction"].iloc[0] | |||||
| # transmission timeline | # transmission timeline | ||||
| scaley = 1.5 | scaley = 1.5 |