openchord 0.1.0

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

I am working on hosting the library on PyPI.org. At the meantime, you can download the openchord.py file into your working directory/folder and use it that way. You will also need to install the drawsvg library (https://github.com/cduck/drawsvg) using the command

python3 -m pip install "drawsvg[all]"

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.color_map = ['#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")