Dashboards ¶ĭash: Extension for the Interactive development of Dash apps in JupyterLab. StickyLand: Break the linear presentation of Jupyter Notebooks with sticky cells! Jupyter-containds: Companion Jupyter extension for ContainDS Dashboards (dashboards sharing service within JupyterHub). Voila-gridstack: JupyterLab extension to build gridstack dashboard with voilà. Voila-preview: JupyterLab extension that displays a Voilà preview of your Notebook in a side-pane. Jupyterlab-omnisci: OmniSci integrations for JupyterLabĬode Formatter: Easily beautifies Python code inside JupyterLab using one of the formatters: Black/YAPF/AutoPEP8.Ĭollapsable Headings: Allows to collapse an entire group of cells under the same headerĭrawIO: An extension to draw diagrams in JupyterLab. Language Server Protocol: Brings VS Code features (code navigation, hover suggestions, linters, autocompletion, etc.) to JupyterLab Go to definition: Allows you to Alt + click on a variable to jump to its definition. Jupyterlab_markup: JupyterLab extension to enable markdown-it rendering, with support for markdown-it plugins LaTeX: An extension for JupyterLab which allows for live-editing of LaTeX documents. Table of Contents: Generates a table of content for your notebook and markdown documents. Figure ( data = data, layout = layout ) py. Surface ( x = x, y = y, z = z ) data = layout = go. cos ( tGrid ) # z = r*cos(t) surface = go. sin ( tGrid ) # y = r*sin(s)*sin(t) z = r * np. sin ( tGrid ) # x = r*cos(s)*sin(t) y = r * np. sin ( 7 * sGrid + 5 * tGrid ) # r = 2 + sin(7s+5t) x = r * np. Import chart_otly as py import aph_objects as go import numpy as np s = np. iplot ( fig, filename = 'jupyter-Nuclear Waste Sites on American Campuses' ) Layout ( title = 'Nuclear Waste Sites on Campus', autosize = True, hovermode = 'closest', showlegend = False, mapbox = dict ( accesstoken = mapbox_access_token, bearing = 0, center = dict ( lat = 38, lon =- 94 ), pitch = 0, zoom = 3, style = 'light' ), ) fig = dict ( data = data, layout = layout ) py. read_csv ( ' %20o n%20American%20Campuses.csv' ) site_lat = df. Import chart_otly as py import aph_objects as go import pandas as pd # mapbox_access_token = 'ADD YOUR TOKEN HERE' df = pd. See examples of statistic, scientific, 3D charts, and more here.
0 Comments
Leave a Reply. |