bokeh

I would like to integrate my Bokeh Server Application in Electron. So what I did is to run bokeh server using python-shell like this mainWindow = new BrowserWindow({ width: 1000, height: 700, show: false, }) var PythonShell = require('python-shell'); var options = { mode: 'text', pythonPath: 'python3', pythonOptions: ['-m'], scriptPath: '', args: ['serve','bokeh_project/'] }; PythonShell.run('bokeh', options, function (err, results) { if (err) throw err; console.log('results: %j', results); }); mainWindow.loadURL('http://localhost:5006'); mainWindow.once('did-finish-load', () => { mainWindow

I am trying to run some code written by someone else, which contains the line from bokeh.charts import Bar When I run this in the Anaconda Prompt, I get the message "No module named 'bokeh.charts'". I have installed bokeh 0.12.13, so the problem isn't that I haven't installed it. Indeed, other bokeh modules run fine. I have noticed on the bokeh website that the 'charts' module says that it refers to a previous version (see https://bokeh.pydata.org/en/0.12.4/docs/reference/charts.html ). Does the latest version not have bokeh.charts? If so, is there an alternative? bokeh.charts was deprecated

I'm trying to set up a Bokeh server and reverse proxy it with Nginx. My p-website.conf now looks like: server { listen 80; server_name website.com; client_max_body_size 25M; access_log /var/www/logs/p-website.access.nginx.log; error_log /var/www/logs/p-website.error.nginx.log error; root /var/www/pydocs/website/production/src; include global/restrictions.conf; location /plot/ { proxy_pass http://website.com:5100; proxy_set_header Upgrade $http_upgrade; proxy_set_header Connection "upgrade"; proxy_http_version 1.1; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header

Say I have a class that holds some data and implements a function that returns a bokeh plot import bokeh.plotting as bk class Data(): def plot(self,**kwargs): # do something to retrieve data return bk.line(**kwargs) Now I can instantiate multiple of these Data objects like exps and sets and create individual plots. If bk.hold() is set they'll, end up in one figure (which is basically what I want). bk.output_notebook() bk.figure() bk.hold() exps.scatter(arg1) sets.plot(arg2) bk.show() Now I want aggregate these plots into a GridPlot() I can do it for the non overlayed single plots bk.figure()