openchord 0.1.7

A library for ploting chord diagrams

OpenChord

OpenChord is a Python library I am developing to plot beautiful chord diagrams for visualising networks and graphs. OpenChord 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

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

pip install openchord

Usage

Currently, the function only support symmetric adjacency matricies (i.e. weighted graph, non-directed)

import openchord 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
   • Gap size
   • 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
   • Ribbon gap
   • Ribbon stiffness
   • Save as SVG