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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 bokeh.io 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 bokeh.sampledata.download()
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.
