{"id":100570,"date":"2021-06-22T16:24:12","date_gmt":"2021-06-22T14:24:14","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/reliz-biblioteki-vizualizaczii-plotly-py-5-0"},"modified":"2021-06-22T16:24:12","modified_gmt":"2021-06-22T14:24:14","slug":"reliz-biblioteki-vizualizaczii-plotly-py-5-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/news\/reliz-biblioteki-vizualizaczii-plotly-py-5-0","title":{"rendered":"Visualiseerimise teegi plotly.py 5.0 v\u00e4ljaanne","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Saadaval on uus versioon Python raamatukogust plotly.py 5.0, mis pakub t\u00f6\u00f6riistu andmete visualiseerimiseks ja erinevate statistika liikide jaoks. Joonistamiseks kasutatakse raamatukogu plotly.js, mis toetab enam kui 30 t\u00fc\u00fcpi 2D ja 3D graafikuid, diagramme ja kaarte (tulemus salvestatakse pildina v\u00f5i HTML-failina interaktiivseks kuvamiseks brauseris). Kood plotly.py on litsentseeritud MIT litsentsi alusel.

\"Visualiseerimise<\/center> <\/p>\n

Uues v\u00e4ljaandes l\u00f5petati Python 2.7 ja Python 3.5 tugi, n\u00fc\u00fcd on vajalik v\u00e4hemalt Python 3.6. Tehtud on \u00fchilduvust rikkuvad muudatused, sealhulgas eemaldatud suur hulk aegunud funktsioone, muudetud vaikeseadeid ja l\u00f5petatud Internet Explorer 9\/10 brauserite tugi. Raamatukogu Plotly.js on uuendatud versioonilt 1.58.4 versioonile 2.1. Ellu on viidud uus t\u00e4iendus, et integreeruda JupyterLabiga. Andmete JSON-formaadis serialiseerimise j\u00f5udlus on suurenenud 5-10 korda. Lisatud on v\u00f5imalus t\u00e4ita veergude diagramme tekstuuridega ning pakutud on uus diagrammi t\u00fc\u00fcp \u2014 \"icicle\", mis on ristk\u00fclikukujuline analoog ringdiagrammidele suuruste erinevuste visuaalseks hindamiseks.

\"Visualiseerimise<\/center>
\"Visualiseerimise<\/center>
\n
Allikas: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0414\u043e\u0441\u0442\u0443\u043f\u0435\u043d \u043d\u043e\u0432\u044b\u0439 \u0432\u044b\u043f\u0443\u0441\u043a Python-\u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 plotly.py 5.0, \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u044e\u0449\u0435\u0439 \u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0430 \u0434\u043b\u044f \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0432\u0438\u0434\u043e\u0432 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438. \u0414\u043b\u044f \u043e\u0442\u0440\u0438\u0441\u043e\u0432\u043a\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430 plotly.js, \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044e\u0449\u0430\u044f \u0431\u043e\u043b\u0435\u0435 30 \u0442\u0438\u043f\u043e\u0432 2D \u0438 3D \u0433\u0440\u0430\u0444\u0438\u043a\u043e\u0432, \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c \u0438 \u043a\u0430\u0440\u0442 (\u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u0432 \u0444\u043e\u0440\u043c\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u0438\u043b\u0438 HTML-\u0444\u0430\u0439\u043b\u0430 \u0434\u043b\u044f \u0438\u043d\u0442\u0435\u0440\u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0433\u043e \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u0432 \u0431\u0440\u0430\u0443\u0437\u0435\u0440\u0435). \u041a\u043e\u0434 plotly.py \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 MIT. \u0412 \u043d\u043e\u0432\u043e\u043c \u0432\u044b\u043f\u0443\u0441\u043a\u0435 \u043f\u0440\u0435\u043a\u0440\u0430\u0449\u0435\u043d\u0430 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 Python […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":100571,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-100570","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Plotly.py 5.0 visualiseerimise raamatukogu v\u00e4ljaanne | ProHoster","description":"Saadaval on uus versioon Python raamatukogust plotly.py 5.0, mis pakub t\u00f6\u00f6riistu andmete visualiseerimiseks ja erinevate statistika liikide 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