(path)
| 25 | import numpy as np |
| 26 | |
| 27 | def parse_df(path): |
| 28 | df = pd.read_csv(path) |
| 29 | df = df[df['cold_start'] == 0] |
| 30 | df = df.drop(['time', 'service_name', 'container_id'], axis=1) |
| 31 | |
| 32 | df['proxying'] = df['proxying'] - 1460 |
| 33 | |
| 34 | return df |
| 35 | |
| 36 | async_df = parse_df("proxy_async.csv").mean(axis=0) |
| 37 | sync_df = parse_df("proxy.csv").mean(axis=0) |