Thanks to

Installing and Importing Bokeh in Python


Installing and Importing Bokeh in Python

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.


We will start by installing and importing the library in Python.

Installing Bokeh in Python using pip

Bokeh can be installed using python package manager pip as follows:

pip install bokeh 

Importing Bokeh in Python

Starting from this section onwards, we will be using Jupyter Notebooks as our Python IDE.

To import Bokeh in Python, write the following code and run it:

# Libraries/Modules import conventions
from import output_notebook, show
from bokeh.plotting import figure, output_file, show

Import sample data for bokeh

import bokeh.sampledata
# To download sample data for visualization

Check Bokeh version in Python

To check the version of the installed Bokeh library, write the following code and run it:

# Check version of bokeh installed
print(bokeh.__version__)  # version:1.4.0

This is it for the basic installation of Bokeh in Python. You are now ready to start plotting your own plots in Python.

Head over to the next chapter on ‘Basics of Bokeh‘.

Leave your thought here

Your email address will not be published. Required fields are marked *