Ошибка функции lowess из библиотеки statsmodels ⇐ Python

[Гость]

Я пытался что-то сделать с библиотекой lowess из библиотеки statsmodels в python3, но она продолжает выдавать ошибки, мой код приведен ниже:

импортировать систему импортировать matplotlib.pyplot как plt импортировать панд как pd импортировать statsmodels.nonparametric.smoothers_lowess как lowess входной_файл = sys.argv[1] cpu_data = pd.read_csv("sysinfo.csv") loess_smoothed = lowess(cpu_data['метка времени'], cpu_data['температура'], frac=0,05) plt.plot(cpu_data['timestamp'], loess_smoothed[:, 1], ь р - ь ) п л т . с а в Это ж я г ( ь с О м п в т Это р . п н г ь ) < / с О д Это > < / п р Это > < п > ЧАС Это р Это я с т час Это с а м п л Это д а т а : < / п > < п р Это с л а с с = " л а н г - н О н Это п р Это т т и п р я н т - О в Это р р я д Это " > < с О д Это > т я м Это с т а м п , т Это м п Это р а т в р Это , с и с _ л О а д _ 1 , с п в _ п Это р с Это н т , ж а н _ р п м 2 0 1 8 - 0 5 - 1 0 0 0 : 0 0 : 3 4 . 1 0 2 4 я 6 , 3 8 , 0 . 6 7 , 0 . 0 8 1 я , 6 я 3 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 0 1 : 3 4 . 1 0 6 я 3 1 , 3 8 , 0 . 5 я , 0 . 0 7 4 6 , 6 я 1 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 0 2 : 3 4 . 1 1 1 0 4 я , 4 0 , 0 . 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 , 0 . 0 5 6 4 , 6 я я . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 0 3 : 3 4 . 1 1 5 3 8 7 , 4 0 , 0 . 6 1 , 0 . 0 я 2 5 , 7 0 3 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 0 4 : 3 4 . 1 1 я 4 я 5 , 3 я , 0 . 4 6 , 0 . 0 7 я 4 , 6 я 4 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 0 5 : 3 4 . 1 2 3 5 1 0 , 3 я , 1 . 0 3 , 0 . 1 0 5 , 6 4 я . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 0 6 : 3 4 . 1 2 7 1 0 5 , 4 0 , 1 . 6 8 0 0 0 0 0 0 0 0 0 0 0 0 0 2 , 0 . 0 7 4 6 , 7 0 2 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 0 7 : 3 4 . 1 3 0 я 8 7 , 3 8 , 1 . 1 6 , 0 . 0 3 2 4 0 0 0 0 0 0 0 0 0 0 0 0 0 5 , 7 0 2 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 0 8 : 3 4 . 1 3 4 я 7 5 , 4 0 , 1 . 4 5 , 0 . 1 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 1 , 7 1 3 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 0 я : 3 4 . 1 3 я 1 1 6 , 4 3 , 0 . я 3 , 0 . 1 2 6 4 , 7 0 3 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 1 0 : 3 4 . 1 4 3 я 2 5 , 3 8 , 0 . 8 я , 0 . 1 0 2 4 , 7 0 5 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 1 1 : 3 4 . 1 4 8 4 1 0 , 3 я , 0 . 5 8 , 0 . 0 я 6 5 , 7 1 1 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 1 2 : 3 4 . 1 5 2 3 7 3 , 4 1 , 0 . 8 , 0 . 1 3 7 8 , 7 1 1 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 1 3 : 3 4 . 1 5 6 2 7 1 , 4 1 , 0 . 6 3 , 0 . 0 8 3 , 6 я 6 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 1 4 : 3 4 . 1 6 0 3 6 2 , 4 2 , 0 . 7 8 , 0 . 0 я 2 , 7 0 7 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 1 5 : 3 4 . 1 6 4 7 1 2 , 3 я , 1 . 0 3 , 0 . 0 8 я 5 , 6 я 4 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 1 6 : 3 4 . 1 6 8 8 8 5 , 4 1 , 1 . 1 3 , 0 . 1 0 0 3 я я я я я я я я я я я я я , 7 0 2 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 1 7 : 3 4 . 1 7 2 8 2 2 , 4 2 , 1 . 1 1 , 0 . 1 6 4 3 , 7 1 8 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 1 8 : 3 4 . 1 7 7 3 0 0 , 4 0 , 0 . 8 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 , 0 . 1 2 2 2 , 7 1 1 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 1 я : 3 4 . 1 8 1 4 7 3 , 4 я , 1 . 5 6 , 0 . 3 2 7 7 0 0 0 0 0 0 0 0 0 0 0 0 5 , 7 5 0 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 2 0 : 3 4 . 1 8 8 2 1 7 , 4 3 , 1 . 3 5 , 0 . 1 7 5 4 , 7 3 1 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 2 1 : 3 4 . 1 я 2 3 3 5 , 3 я , 0 . 8 7 , 0 . 0 2 я 1 , 7 1 2 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 2 2 : 3 4 . 1 я 6 4 6 1 , 3 8 , 0 . 4 3 , 0 . 0 3 1 5 , 7 1 4 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 2 3 : 3 4 . 2 0 0 5 6 1 , 3 8 , 0 . 4 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 , 0 . 0 1 7 4 , 7 1 1 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 2 4 : 3 4 . 2 0 4 5 5 8 , 3 8 , 0 . 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 , 0 . 0 1 5 1 , 6 я 5 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 2 5 : 3 4 . 2 0 8 5 4 3 , 3 я , 0 . 2 2 , 0 . 0 1 6 4 , 6 8 3 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 2 6 : 3 4 . 2 1 2 7 1 4 , 3 7 , 0 . 0 8 , 0 . 0 1 6 2 0 0 0 0 0 0 0 0 0 0 0 0 0 3 , 6 я 0 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 2 7 : 3 4 . 2 1 6 я 4 я , 3 8 , 0 . 1 4 , 0 . 0 1 5 1 , 6 8 3 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 2 8 : 3 4 . 2 2 1 0 0 4 , 3 7 , 0 . 0 8 , 0 . 0 1 6 4 , 6 8 6 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 2 я : 3 4 . 2 2 5 2 5 1 , 3 7 , 0 . 0 3 , 0 . 0 1 7 6 , 6 8 5 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 3 0 : 3 4 . 2 2 я 4 4 2 , 3 7 , 0 . 0 1 , 0 . 0 1 8 я , 6 7 я . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 3 1 : 3 4 . 2 3 3 6 6 0 , 3 7 , 0 . 0 , 0 . 0 4 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 5 , 6 7 2 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 3 2 : 3 4 . 2 3 7 8 5 6 , 3 7 , 0 . 1 3 , 0 . 0 1 3 я 0 0 0 0 0 0 0 0 0 0 0 0 0 1 , 6 7 3 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 3 3 : 3 4 . 2 4 2 1 я 2 , 3 7 , 0 . 2 я , 0 . 0 1 7 4 , 6 8 4 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 3 4 : 3 4 . 2 4 6 3 3 6 , 3 7 , 0 . 2 5 , 0 . 0 1 3 я 0 0 0 0 0 0 0 0 0 0 0 0 0 1 , 6 8 3 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 3 5 : 3 4 . 2 5 0 4 я 8 , 3 7 , 0 . 1 7 , 0 . 0 1 7 6 , 6 6 7 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 3 6 : 3 4 . 2 5 4 7 0 я , 3 7 , 0 . 0 6 , 0 . 0 1 3 я я я я я я я я я я я я я я я , 6 7 8 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 3 7 : 3 4 . 2 5 8 8 6 я , 3 5 , 0 . 0 2 , 0 . 0 1 5 , 6 8 4 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 3 8 : 3 4 . 2 6 2 я я 2 , 3 7 , 0 . 0 4 , 0 . 0 1 5 1 , 6 7 3 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 3 я : 3 4 . 2 6 7 1 3 2 , 3 6 , 0 . 0 5 , 0 . 0 1 5 , 6 7 1 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 4 0 : 3 4 . 2 7 1 2 7 7 , 3 6 , 0 . 1 , 0 . 0 2 0 0 я я я я я я я я я я я я я 6 , 6 6 6 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 4 1 : 3 4 . 2 7 5 4 2 1 , 3 6 , 0 . 0 3 , 0 . 0 1 6 4 , 6 5 6 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 4 2 : 3 4 . 2 7 я 6 2 0 , 3 6 , 0 . 0 1 , 0 . 0 1 2 6 , 6 7 5 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 4 3 : 3 4 . 2 8 3 7 5 7 , 3 7 , 0 . 1 5 , 0 . 0 1 3 я 0 0 0 0 0 0 0 0 0 0 0 0 0 1 , 6 7 5 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 4 4 : 3 4 . 2 8 7 я 7 5 , 3 7 , 0 . 1 4 , 0 . 0 1 5 1 , 6 6 2 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 4 5 : 3 4 . 2 я 2 2 8 4 , 3 6 , 0 . 2 1 , 0 . 0 1 6 2 0 0 0 0 0 0 0 0 0 0 0 0 0 3 , 6 6 3 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 4 6 : 3 4 . 2 я 6 4 1 2 , 3 7 , 0 . 0 7 , 0 . 0 1 4 я , 6 6 0 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 4 7 : 3 4 . 3 0 0 5 3 3 , 3 6 , 0 . 0 7 , 0 . 0 1 4 я , 6 5 я . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 4 8 : 3 4 . 3 0 4 7 5 1 , 3 5 , 0 . 0 2 , 0 . 0 2 1 5 , 6 5 1 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 4 я : 3 4 . 3 0 я 0 3 7 , 3 7 , 0 . 0 1 , 0 . 0 1 6 4 , 6 5 я . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 5 0 : 3 4 . 3 1 3 3 0 0 , 3 5 , 0 . 0 7 , 0 . 0 1 8 7 я я я я я я я я я я я я я 7 , 6 5 7 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 5 1 : 3 4 . 3 1 7 2 8 0 , 4 0 , 0 . 0 2 , 0 . 0 2 0 0 я я я я я я я я я я я я я 6 , 6 6 6 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 5 2 : 3 4 . 3 2 1 3 1 1 , 3 5 , 0 . 0 1 , 0 . 0 1 6 , 6 8 0 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 5 3 : 3 4 . 3 2 5 2 5 3 , 3 5 , 0 . 0 , 0 . 0 1 5 1 , 6 8 1 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 5 4 : 3 4 . 3 2 я 3 3 3 , 3 6 , 0 . 1 я , 0 . 0 1 4 я , 6 6 6 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 5 5 : 3 4 . 3 3 3 4 7 2 , 3 6 , 0 . 2 8 , 0 . 0 1 6 2 0 0 0 0 0 0 0 0 0 0 0 0 0 3 , 6 5 6 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 5 6 : 3 4 . 3 3 7 5 0 0 , 3 4 , 0 . 2 5 , 0 . 0 1 7 6 , 6 7 2 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 5 7 : 3 4 . 3 4 1 6 5 8 , 3 5 , 0 . 0 я , 0 . 0 1 5 1 , 6 6 я . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 5 8 : 3 4 . 3 4 6 0 0 8 , 3 5 , 0 . 1 5 , 0 . 0 1 4 я , 6 5 3 . 0 2 0 1 8 - 0 5 - 1 0 0 0 : 5 я : 3 4 . 3 5 0 2 1 7 , 3 6 , 0 . 1 3 , 0 . 0 1 1 4 , 6 5 2 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 0 0 : 3 4 . 3 5 4 5 7 3 , 3 5 , 0 . 2 1 , 0 . 0 1 7 5 , 6 5 0 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 0 1 : 3 4 . 3 5 8 6 7 4 , 4 1 , 0 . 1 1 , 0 . 0 2 3 7 я я я я я я я я я я я я я 8 , 6 5 6 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 0 2 : 3 4 . 3 6 2 7 7 4 , 3 5 , 0 . 2 1 , 0 . 0 1 6 4 , 6 6 1 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 0 3 : 3 4 . 3 6 7 0 0 2 , 3 4 , 0 . 1 4 , 0 . 0 1 2 6 , 6 6 6 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 0 4 : 3 4 . 3 7 1 1 5 7 , 3 5 , 0 . 1 2 , 0 . 0 1 6 2 0 0 0 0 0 0 0 0 0 0 0 0 0 3 , 6 6 3 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 0 5 : 3 4 . 3 7 5 3 я 6 , 3 5 , 0 . 0 я , 0 . 0 1 6 1 , 6 5 1 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 0 6 : 3 4 . 3 7 я 5 6 2 , 3 5 , 0 . 0 7 , 0 . 0 1 я я , 6 5 0 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 0 7 : 3 4 . 3 8 3 7 7 8 , 3 4 , 0 . 0 6 , 0 . 0 2 0 2 , 6 7 2 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 0 8 : 3 4 . 3 8 7 я 4 1 , 3 5 , 0 . 6 6 , 0 . 0 1 1 4 , 6 6 6 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 0 я : 3 4 . 3 я 2 1 я 7 , 3 4 , 0 . 8 8 , 0 . 0 1 3 я 0 0 0 0 0 0 0 0 0 0 0 0 0 1 , 6 6 3 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 1 0 : 3 4 . 3 я 6 3 4 4 , 3 3 , 1 . 2 , 0 . 0 1 5 1 , 6 6 6 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 1 1 : 3 4 . 4 0 0 4 я 4 , 4 4 , 1 . 0 7 , 0 . 0 2 8 я 0 0 0 0 0 0 0 0 0 0 0 0 0 2 , 6 6 6 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 1 2 : 3 4 . 4 0 4 7 0 0 , 3 6 , 0 . 7 6 , 0 . 0 1 я я , 6 5 6 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 1 3 : 3 4 . 4 0 8 я 2 7 , 3 5 , 0 . 4 , 0 . 0 2 2 4 0 0 0 0 0 0 0 0 0 0 0 0 0 3 , 6 6 8 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 1 4 : 3 4 . 4 1 3 1 2 я , 3 4 , 0 . 1 4 , 0 . 0 1 7 6 , 6 6 0 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 1 5 : 3 4 . 4 1 7 4 5 6 , 3 5 , 0 . 2 3 , 0 . 0 1 7 6 , 6 5 2 . 0 2 0 1 8 - 0 5 - 1 0 0 1 : 1 6 : 3 4 . 4 2 1 4 6 1 , 3 6 , 0 . 6 я 0 0 000000000001,0.021099999999999997,661.0 2018-05-10 01:17:34.425625,34,0.36,0.02,651.0 2018-05-10 01:18:34.429692,35,0.31,0.0175,661.0 2018-05-10 01:19:34.433853,35,0.21,0.016200000000000003,662.0 2018-05-10 01:20:34.438005,35,0.17,0.0164,656.0 2018-05-10 01:21:34.442152,45,0.06,0.0361,651.0 2018-05-10 01:22:34.446281,36,0.31,0.015,660.0 2018-05-10 01:23:34.450536,35,0.19,0.0151,674.0 2018-05-10 01:24:34.455031,35,0.1,0.0126,676.0 2018-05-10 01:25:34.459193,35,0.15,0.0114,652.0 2018-05-10 01:26:34.463381,34,0.05,0.018799999999999997,659.0 2018-05-10 01:27:34.467683,34,0.02,0.016200000000000003,658.0 2018-05-10 01:28:34.471948,34,0.11,0.015,653.0 2018-05-10 01:29:34.476266,35,0.1,0.0189,665.0 2018-05-10 01:30:34.480439,34,0.03,0.0126,659.0 2018-05-10 01:31:34.484644,44,0.01,0.038900000000000004,675.0 2018-05-10 01:32:34.488872,43,0.0,0.0286,647.0 2018-05-10 01:33:34.493155,36,0.14,0.016200000000000003,662.0 2018-05-10 01:34:34.497531,35,0.09,0.0127,665.0 2018-05-10 01:35:34.501773,34,0.1,0.0151,658.0 2018-05-10 01:36:34.506033,35,0.1,0.0126,663.0 2018-05-10 01:37:34.510317,34,0.33,0.013900000000000001,655.0 2018-05-10 01:38:34.514579,35,0.19,0.015,654.0 2018-05-10 01:39:34.518852,34,0.12,0.013999999999999999,667.0 2018-05-10 01:40:34.523106,35,0.04,0.0151,655.0 2018-05-10 01:41:34.527344,40,0.05,0.0464,662.0 2018-05-10 01:42:34.531642,35,0.02,0.011200000000000002,671.0 2018-05-10 01:43:34.535894,34,0.0,0.0151,661.0 2018-05-10 01:44:34.540195,35,0.0,0.013900000000000001,663.0 2018-05-10 01:45:34.544402,34,0.05,0.016200000000000003,652.0 2018-05-10 01:46:34.548744,35,0.07,0.0151,661.0 2018-05-10 01:47:34.553046,34,0.02,0.013900000000000001,669.0 2018-05-10 01:48:34.557293,35,0.09,0.02,654.0 2018-05-10 01:49:34.561460,34,0.03,0.0126,663.0 2018-05-10 01:50:34.565885,34,0.16,0.0189,662.0 2018-05-10 01:51:34.569961,42,0.11,0.0489,653.0 2018-05-10 01:52:34.574228,35,0.08,0.018799999999999997,660.0 2018-05-10 01:53:34.578374,34,0.03,0.0151,661.0 2018-05-10 01:54:34.582574,35,0.05,0.0126,655.0 2018-05-10 01:55:34.586836,35,0.12,0.0125,666.0 2018-05-10 01:56:34.591040,34,0.19,0.0114,660.0 2018-05-10 01:57:34.595270,34,0.17,0.0199,666.0 2018-05-10 01:58:34.599578,34,0.2,0.0164,657.0 2018-05-10 01:59:34.603860,34,0.14,0.0138,649.0 2018-05-10 02:00:34.608018,34,0.14,0.0174,647.0 2018-05-10 02:01:34.612237,41,0.05,0.0501,654.0 2018-05-10 02:02:34.616511,35,0.02,0.0197,666.0 2018-05-10 02:03:34.620903,35,0.0,0.0126,671.0 2018-05-10 02:04:34.625093,35,0.05,0.0114,662.0 2018-05-10 02:05:34.629344,37,0.02,0.019799999999999998,665.0 2018-05-10 02:06:34.633481,34,0.0,0.011200000000000002,661.0 2018-05-10 02:07:34.637678,34,0.08,0.0114,663.0 2018-05-10 02:08:34.642016,35,0.07,0.0182,655.0 2018-05-10 02:09:34.646255,34,0.02,0.013900000000000001,648.0 2018-05-10 02:10:34.650481,35,0.12,0.0275,656.0 2018-05-10 02:11:34.654677,41,0.1,0.0567,652.0 2018-05-10 02:12:34.658883,36,0.08,0.0186,669.0 2018-05-10 02:13:34.663231,34,0.03,0.011200000000000002,665.0 2018-05-10 02:14:34.667368,35,0.01,0.022099999999999998,657.0 2018-05-10 02:15:34.671601,33,0.24,0.0125,657.0 2018-05-10 02:16:34.675830,35,0.19,0.0186,666.0 2018-05-10 02:17:34.680002,34,0.66,0.0138,666.0 2018-05-10 02:18:34.684329,34,0.24,0.015,652.0 2018-05-10 02:19:34.688636,36,0.27,0.016200000000000003,658.0 2018-05-10 02:20:34.692859,35,0.16,0.015,660.0 2018-05-10 02:21:34.697052,41,0.11,0.0705,653.0 2018-05-10 02:22:34.701343,34,0.04,0.0161,657.0 2018-05-10 02:23:34.705589,34,0.05,0.0184,656.0 2018-05-10 02:24:34.709811,35,0.02,0.0149,662.0 2018-05-10 02:25:34.714089,34,0.08,0.0175,662.0 2018-05-10 02:26:34.718251,34,0.1,0.0151,653.0 2018-05-10 02:27:34.722624,34,0.04,0.015,665.0 2018-05-10 02:28:34.726876,35,0.11,0.011200000000000002,657.0 2018-05-10 02:29:34.731229,33,0.09,0.015,654.0 2018-05-10 02:30:34.735542,34,0.16,0.0161,650.0 2018-05-10 02:31:34.739793,44,0.14,0.0694,662.0 2018-05-10 02:32:34.744036,34,0.08,0.01,667.0 2018-05-10 02:33:34.748272,34,0.08,0.011200000000000002,665.0 2018-05-10 02:34:34.752491,34,0.07,0.0125,660.0 2018-05-10 02:35:34.756658,35,0.02,0.0173,654.0 2018-05-10 02:36:34.760864,36,0.01,0.0125,672.0 2018-05-10 02:37:34.765215,34,0.07,0.0125,661.0 2018-05-10 02:38:34.769432,35,0.19,0.0125,666.0 2018-05-10 02:39:34.773791,36,0.15,0.0114,664.0 2018-05-10 02:40:34.777850,34,0.1,0.0125,656.0 2018-05-10 02:41:34.782096,42,0.07,0.0779,668.0 2018-05-10 02:42:34.786350,36,0.02,0.0125,655.0 2018-05-10 02:43:34.790458,36,0.11,0.0138,659.0 2018-05-10 02:44:34.794989,36,0.18,0.016200000000000003,661.0 2018-05-10 02:45:34.798874,37,0.1,0.0175,654.0 2018-05-10 02:46:34.802497,37,0.04,0.0151,657.0 2018-05-10 02:47:34.806088,37,0.08,0.022400000000000003,662.0 2018-05-10 02:48:34.809694,42,0.14,0.0212,655.0 2018-05-10 02:49:34.813201,38,0.23,0.0174,664.0 2018-05-10 02:50:34.816724,37,0.13,0.022400000000000003,663.0 2018-05-10 02:51:34.820217,41,0.05,0.0738,666.0 2018-05-10 02:52:34.823806,37,0.12,0.0186,655.0 And so on but I think you get the idea. Теперь, когда я попробую это

loess_smoothed = lowess(cpu_data['timestamp'], cpu_data['temperature'], frac=0.05) Я получаю:

Ошибка типа: объект «модуль» не может быть вызван

Кажется, я не могу понять, почему он продолжает выдавать мне эту ошибку, независимо от того, что я делаю с параметрами?