Chord Diagram with Bokeh

logo of a chart:Chord

A chord chart is used for representing the relationships between data points. Each data points are arranged into a circle and their relationships are displayed with chords. This post describes how to draw a chord chart using bokeh library of pyhton.

You can use Chord element of holoviews library to produce chord diagrams. It uses bokeh and matplotlib libraries as backends. The following example is taken from the official documentation where you can find more information about the chord element.

# libraries
import pandas as pd
import holoviews as hv
from holoviews import opts, dim
from bokeh.sampledata.les_mis import data

# Should the diagram be plotted with 'bokeh' or 'matplotlib'?
# How large should be the diagram?

# Data set
nodes = hv.Dataset(pd.DataFrame(data['nodes']), 'index')
links = pd.DataFrame(data['links'])

# Chord diagram
chord = hv.Chord((links, nodes)).select(value=(5, None))
    opts.Chord(cmap='Category20', edge_cmap='Category20', edge_color=dim('source').str(), 
               labels='name', node_color=dim('index').str()))

# Not needed in a jupyter notebook
# It shows the diagram when run in another IDE or from a python script:
from bokeh.plotting import show

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