1 mainītis faili ar 3 papildinājumiem un 3 dzēšanām
+ 3
- 3
plot_transmission_timeline.py
Parādīt failu
| print(transmission_df) | print(transmission_df) | ||||
| range_start_time = transmission_df["datetime"].min() | |||||
| range_start_time = transmission_df.index.min() | |||||
| range_sum_interval = "{}s".format(args.interval) | range_sum_interval = "{}s".format(args.interval) | ||||
| # create timedelta range with maximum timedelta | # create timedelta range with maximum timedelta | ||||
| time_range = pd.timedelta_range(pd.Timedelta(range_start_time), transmission_df["datetime"].max(), freq=range_sum_interval) | |||||
| time_range = pd.timedelta_range(pd.Timedelta(range_start_time), transmission_df.index.max(), freq=range_sum_interval) | |||||
| # create bins by pd.cut, aggregate sum | # create bins by pd.cut, aggregate sum | ||||
| transmission_df = transmission_df.groupby(pd.cut(transmission_df["datetime"], bins=time_range, labels=time_range[:-1]))["goodput"].sum().reset_index() | |||||
| transmission_df = transmission_df.groupby(pd.cut(transmission_df.index, bins=time_range, labels=time_range[:-1]))["goodput"].sum().reset_index() | |||||
| #transmission_df["goodput"] = transmission_df["payload_size"].rolling("{}s".format(args.interval)).sum() | #transmission_df["goodput"] = transmission_df["payload_size"].rolling("{}s".format(args.interval)).sum() | ||||
| transmission_df["goodput"] = transmission_df["goodput"].apply( | transmission_df["goodput"] = transmission_df["goodput"].apply( | ||||
| lambda x: ((x * 8) / args.interval) / 10**6 | lambda x: ((x * 8) / args.interval) / 10**6 |
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