Hi Jonathan,
There are a few different ways to interact with a Bokeh Server I’d suggest you have a read over the use case overview in the User’s Guide:
[http://bokeh.pydata.org/en/latest/docs/user_guide/server.html#use-case-scenarios](http://bokeh.pydata.org/en/latest/docs/user_guide/server.html#use-case-scenarios)
It’s entirely possible the “output server” method is not what you want — it is quite limited in what it can do. But apart from that it is always good to use the examples as a reference. You can see examples of using the client library here:
[https://github.com/bokeh/bokeh/tree/master/examples/plotting/server](https://github.com/bokeh/bokeh/tree/master/examples/plotting/server)
And examples of running Bokeh apps directly in the server here:
[https://github.com/bokeh/bokeh/tree/master/examples/app](https://github.com/bokeh/bokeh/tree/master/examples/app)
Also, since you specifically mention the notebook: there is currently still some work yet to do to make inline plots in the notebook sync to a Bokeh server better. There is an open issue you can track here:
[https://github.com/bokeh/bokeh/issues/3461](https://github.com/bokeh/bokeh/issues/3461)
Ultimately we’d like people to be able to prototype apps in a notebook then just run “bokeh serve” on the notebook file directly to deploy the app.
Thanks,
Bryan
On Feb 3, 2016, at 11:07 PM, Jonathan Salassi jonatha...@gmail.com wrote:
Hello. I am new to bokeh and have setup bokeh via conda on my Centos 7 VM for learning and development. In case anyone has issues with this verify that your IP tables have access for port 5006. I can run the following bokeh serv command and connect to it successfully from a browser client with the IP address of 192.168.1.31.
bokeh serve --host 192.168.1.31:5006 --host localhost:5006
I can create simple plots using the following code in an jupyter notebook cell from client 192.168.1.31:
import bokeh
from bokeh.plotting import figure, show, output_server, push
p2 = figure(title=“Server Plot”)
p2.circle([2, 1, 5], [4, 3, 4])
output_server(“test2”)
push()
Ive come up with the following questions:
What is the correct URL to use to go and view the plot for p2?
Is there a way to determine the correct URL from the client or browse a list of available plots on the server?
I can navigate to http://192.168.1.31:5006/?bokeh-session-id=test2 and see this plot however I also see every other plot I have made to the server regardless of the values used. Is there a way to reset or remove the plots that belong to a specific session id so that i only have one there?
What are the appropriate steps to update an existing plot on a server?
Thanks,
Jonathan
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