RaChord

RaChord is a maintained fork of the original openchord library for visualising networks and graphs.

It uses the drawsvg library and can display figures in a Jupyter notebook or Jupyter lab. Other libraries for drawing chord diagram includes PlotAPI (paid), Bokeh (visible moire artifact), and Plotly (tedious).

Installation

RaChord is now on PyPI.org! Install using the command

pip install rachord

Usage

The chord diagram is defined by an adjacency matricies (possibly non-symmetric)

import rachord as ocd

adjacency_matrix = [[ 3, 18,  9,  0, 23],
                    [18,  0, 12,  5, 29],
                    [ 9, 12,  0, 27, 10],
                    [ 0,  5, 27,  0,  0],
                    [23, 29, 10,  0,  0]]
labels = ['Emma', 'Isabella', 'Ava', 'Olivia', 'Sophia']

fig = ocd.Chord(adjacency_matrix, labels)
fig.show()

Color can be changed like so

fig.colormap = ['#636EFA', '#EF553B', '#00CC96', '#AB63FA', '#FFA15A', '#19D3F3', '#FF6692', '#B6E880', '#FF97FF', '#FECB52']
fig.show()

You can export the figure as an .svg file and open it in a vector graphics software such as Inkscape

fig.save_svg("figure.svg")

More tutorials and examples

I wrote a few more tutorials available via the link below and in the /examples directory. Feel free to download them and run it yourself.

1. Quick Start

   • First chord diagram
   • Radius
   • Padding
   • Font size and font family
   • Colormap
   • Background color and transparancy

2. The Logo (The text is not centered vertically when viewed on GitHub)

   • Rotation
   • Custom plot area
   • Gradient style
   • Arc thickness
   • Text position
   • Gap size
   • Ribbon gap
   • Ribbon stiffness
   • Save as SVG