Deploy Bokeh Plot into Server

Question

I have one bokeh plot plot.ipynb i want to deploy this plot into my server , so that i can do dynamic data updation into my plot in my own server deployment . Can you please tell me what is the best way/easy way to do deployment of my plot into my own server.

from shapely.geometry import Point
import pandas as pd

import numpy as np
import geoviews as gv
 .......
dd=df_div.opts(width=70, height=70)
dd1=df_div1.opts(width=600, height=90)
dd2=df_div2.opts(width=100,height=10)
finalplot=pn.Column(pn.Row(dd, dd1, dd2), tiles*rasterize(hmap1).options(**opts)*logo1.opts(hooks= 
[absolute_position], apply_ranges=False)).servable()
finalplot

I am thinking to :- 1. convert plot.ipynb file to plot.py . 2. then run plot.py as a dynamic webpage

Deploying through bokeh server i can do but i am thinking that if i am having all the modules files ( pandas, bokeh , panel etc) files then why not use those modules files , my own server and deploy the plot into my own server instead of first deploying my plot into bokeh serve then my own server as the loading time will get increase.

But i don't know how to do this deployment OR is there any other best / fast way to do plot deployment into my own server with dynamic data behavior .

Sander van den Oord Sander van den Oord · Accepted Answer · 2019-11-20T08:25:30

In your script I can see you are using import panel as pn and you are using final_plot.servable().

If you just want to deploy your notebook quickly to a local server, you can use the command line and go to the directory where this file is located. Then type:
panel serve your_plot.ipynb

If you want to do some real deployment then start with the documentation of panel on this:

There is also an explanation of deploying on Heroku there, which is also a good option if you don't want to do local deployment.

Deploy Bokeh Plot into Server

1 Answers