Right way to plot live data with django and bokeh

Question

i have a bokeh plot embedded in a django app. I create the plot in the django view and push the plot to the bokeh server to show the plot in my webpage.

#view.p         


        

Answer 1

Something like this worked for me:

#views.py
from bokeh.plotting import figure, curdoc
from bokeh.client import pull_session

def my_line_chart(request):
    session = pull_session(url = "http://localhost:5006/myapp")
    bokeh_script=autoload_server(None,url = "http://localhost:5006/myapp", session_id= session.id)
    return render(request, u'line_charts.html', {u'the_script': bokeh_script})

Then on your bokeh server use source.stream()

    #myapp
    '''
    everything else here
    '''
    def update():
        new_data = qu() #qu is the newdata to be updated
        source.stream(new_data, rollover = 60)
        print(source.data) #if you want to see new data

    curdoc().add_root(p)
    curdoc().add_periodic_callback(update,10000)

then start your bokeh server and allow connection from django like

bokeh serve --allow-websocket-origin=127.0.0.1:8000 myapp.py #you can add app2.py too

I used port 8000 because that is my django port, and port 5006 on views.py because it is my tornado port.

Check class columndatasource for more

Hope it helps.