![]() Download the contents of the ColumnDataSource as JSON/msgpack/whatever.Is especially useful when you need to embed individual components of a BokehĪpp in a non-Bokeh layout, such as Bootstrap.I would like to save a snapshot of Bokeh plot created by a Bokeh server application in all of the following ways: run ( port = 8080 ) Standard template #īokeh also provides a standard Jinja template that helps you quickly andįlexibly embed different document roots by extending the “base” template. id, url = ' ) # use the script in the rendered page return render_template ( "embed.html", script = script, template = "Flask" ) if _name_ = '_main_' : app. text = "Special sliders for a specific user!" # generate a script to load the customized session script = server_session ( session_id = session. route ( '/', methods = ) def bkapp_page (): # pull a new session from a running Bokeh server with pull_session ( url = " ) as session : # update or customize that session session. Running python scatter.py prints out the following:įrom flask import Flask, render_template from bokeh.client import pull_session from bokeh.embed import server_session app = Flask ( _name_ ). scatter ( x3, 圓, size = 12, color = "green", alpha = 0.5 ) # plots can be a single Bokeh model, a list/tuple, or even a dictionary plots = script, div = components ( plots ) print ( script ) print ( div ) scatter ( x2, y2, size = 12, color = "blue", alpha = 0.5 ) p3 = figure ( x_range = xr2, y_range = yr2, tools = TOOLS, width = 300, height = 300 ) p3. scatter ( x1, y1, size = 12, color = "red", alpha = 0.5 ) p2 = figure ( x_range = xr1, y_range = yr1, tools = TOOLS, width = 300, height = 300 ) p2. # scatter.py from otting import figure from bokeh.models import Range1d from bokeh.embed import components # create some data x1 = y1 = x2 = y2 = x3 = 圓 = # select the tools you want TOOLS = "pan,wheel_zoom,box_zoom,reset,save" # the red and blue graphs share this data range xr1 = Range1d ( start = 0, end = 30 ) yr1 = Range1d ( start = 0, end = 30 ) # only the green graph uses this data range xr2 = Range1d ( start = 0, end = 30 ) yr2 = Range1d ( start = 0, end = 30 ) # build the figures p1 = figure ( x_range = xr1, y_range = yr1, tools = TOOLS, width = 300, height = 300 ) p1. Math text, include the following in your HTML: The "bokeh-mathjax" files are required to enableįor example, to use version 3.0.0 with support for widgets, tables, and The "bokeh-gl" files are required to enable The "bokeh-tables" files are only necessary if you are using Bokeh’s The "bokeh-widgets" files are only necessary if you are using any of the ![]() Other scripts are optional and only need to be included if you want to use Only the Bokeh core library bokeh-x.y.z.min.js is always required. The json_item() function accepts aīokeh model (for example, a plot) and an optional ID of the target. JSON items #īokeh can also supply JSON data that BokehJS can use to render a standaloneīokeh document in a specified. Web browser whereas save() creates an HTML document and saves it locally. The show() function creates an HTML document and displays it in a In scripts and Jupyter notebooks employing the otting interface, youĬan call the output_file() function in conjunction with show() or save() Useful for web applications such as Flask apps. This is a low-level, explicit way to generate an HTML file, which can be You can also provide your own template for the HTML outputĪnd pass in custom, or additional, template variables. You can save the returned HTML text to a file using standard Python file circle (, ) html = file_html ( plot, CDN, "my plot" ) Here is an example:įrom otting import figure from bokeh.resources import CDN from bokeh.embed import file_html plot = figure () plot. These HTML files contain plotĭata and are fully portable while still providing interactive tools Generic template or from a template you provide. This function can create an HTML document from its own This section describes different ways to publish and embed standalone Bokehīokeh can generate complete HTML pages for Bokeh documents using theįile_html() function. For more information about creating and runningīokeh apps, see Bokeh server. Lets you connect events and tools to real-time Python callbacks thatĮxecute on the server. These applications require a Bokeh server to work. Sub-components with individual templating. These documents can beĮmbedded into other HTML pages as one large document or as a set of Otherwise nothing but HTML, CSS, and JavaScript. Tools and interactions such as custom JavaScript callbacks but are These documents don’t require a Bokeh server to work. First, here’s how standalone documentsĭiffer from applications: Standalone documents This chapter explores a variety of ways to embed standalone Bokeh documents andīokeh applications into web pages.
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