時間 コレクション numpyのNU matplotlib.pyplot PLT char_until(X、Y、名前): plt.figure(=(、))plt.plot(X、Y、、=)plt.xlabel(=)plt.ylabel(= )plt.title(名前)plt.xticks(=)plt.show()unix_time_to_dateTime(タイムスタンプ): time_local = time.localtime(タイムスタンプ) DT = time.strftime(time_local) DT fileNameに= check_redis_monitor(filename)で: DictRedis = collections.OrderedDict() (ファイル名、、=)ファイル: file.readlinesを読み取る(): 読み取り= read.strip() redisList =(read.split()) redisList [] = unix_time_to_dateTime((redisList [])) redisList [ ] = redisList []。スプリット()[] redisList [ ] DictRedis: DictRedis [redisList [] = {} redisList [] DictRedis [redisList []: DictRedis [redisList [] [redisList [] = DictRedis [redisList [] [redisList [] +: redisList [] DictRedis [redisList []: DictRedis [redisList [] [redisList [] = DictRedis [redisList [] [redisList [] + = DictRedis (ファイル名は,, =)ファイル: D1は= {} (file.readlinesを読ん): read.strip読み取り=() redisList =(read.split()) redisList [] = unix_time_to_dateTime((redisList [])) 。redisList [] = redisList []スプリット()[] RedisList == [] == redisList [] redisList []: 。L1 = redisList []スプリット() l1.pop() S1 = .join(L1) S1、D1: D1 [S1] = D1 [S1] + = D1: (D1 [A])
分析Redisのは、情報を収集するために、スクリプトコマンドを監視します
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