53
Using the Embedding Bokeh Plots documentation example as suggested by Fabio Pliger, one can do this in Django:
in the views.py
file, we put:
from django.shortcuts import render
from bokeh.plotting import figure
from bokeh.resources import CDN
from bokeh.embed import components
def simple_chart(request):
plot = figure()
plot.circle([1,2], [3,4])
script, div = components(plot, CDN)
return render(request, "simple_chart.html", {"the_script": script, "the_div": div})
in the urls.py
file we can put :
from myapp.views import simple_chart
...
...
...
url(r'^simple_chart/$', simple_chart, name="simple_chart"),
...
...
in the template file simple_chart.html
we’ll have :
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Experiment with Bokeh</title>
<script src="http://cdn.bokeh.org/bokeh/release/bokeh-0.8.1.min.js"></script>
<link rel="stylesheet" href="http://cdn.bokeh.org/bokeh/release/bokeh-0.8.1.min.css">
</head>
<body>
{{ the_div|safe }}
{{ the_script|safe }}
</body>
</html>
And it works.
5
You don’t need to use bokeh-server to embed bokeh plots. It just means you’ll not be using (and probably don’t need) the extra features it provides.
In fact you can embed bokeh plots in many ways like generating standalone html, by generating bokeh standalone components that you can then embed in you django app when rendering templates or with the method we call “autoloading” which makes bokeh return a tag that will replace itself with a Bokeh plot. You’ll find better details looking at the documentation.
Another good source of inspiration is the embed examples you can find in the repository.
- [Django]-Django – How to use decorator in class-based view methods?
- [Django]-0 value in Django PositiveIntegerField?
- [Django]-Asynchronous File Upload to Amazon S3 with Django
3
It is also possible to have it work with AJAX requests. Let’s say we have a page loaded and would like to show a plot on button click without reloading the whole page. From Django view we return Bokeh script and div in JSON:
from django.http import JsonResponse
from bokeh.plotting import figure
from bokeh.resources import CDN
from bokeh.embed import components
def simple_chart(request):
plot = figure()
plot.circle([1,2], [3,4])
script, div = components(plot, CDN)
return JsonResponse({"script": script, "div": div})
When we get AJAX response in JS (in this example Jquery is used) the div is first appended to the existing page and then the script is appended:
$("button").click(function(){
$.ajax({
url: "/simple_chart",
success: function(result){
var bokeh_data = JSON.parse(result);
$('#bokeh_graph').html(bokeh_data.div);
$("head").append(bokeh_data.script);
}});
});
- [Django]-How to set up custom middleware in Django?
- [Django]-Django: Detect database backend
- [Django]-How to use the request in a ModelForm in Django
- [Django]-Django Rest Framework: turn on pagination on a ViewSet (like ModelViewSet pagination)
- [Django]-How do I generate a static html file from a django template?
- [Django]-InvalidBasesError: Cannot resolve bases for [<ModelState: 'users.GroupProxy'>]
1
Here’s a flask app that uses jquery to interract with a bokeh plot. Check out the templates/
for javascript you can reuse. Also search for bokeh-demos on github.
- [Django]-Django storages: Import Error – no module named storages
- [Django]-Auto-truncating fields at max_length in Django CharFields
- [Django]-Django Rest Framework – Updating a foreign key