Input dataset
The dataset considered in this page provides the number of people migrating from one country to another. Data used comes from this scientific publication already discussed on data-to-viz.com.
The data is stored online here. Let's load it into Python as follow:
# Pandas is gonna be used to read the csv file stored on the web:
import pandas as pd
# Load dataset from github
data = pd.read_csv("https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/13_AdjacencyDirectedWeighted.csv", sep=" ")
data
# Create a list of all the items in the diagram
names = data.columns.values
data = data.values.tolist()
data
[[3.142471,
0.0,
2.107883,
0.0,
0.540887,
0.15598800000000002,
0.0,
0.0,
0.0,
0.673004],
[0.0,
1.630997,
0.6012649999999999,
0.0,
0.97306,
0.333608,
0.0,
0.380388,
0.0,
0.8693110000000001],
[0.0, 0.0, 2.4014759999999997, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 1.762587, 0.8791979999999999, 3.627847, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 1.215929, 0.276908, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.17037, 0.0, 0.0, 0.190706, 0.0, 0.0, 0.0, 0.0],
[0.0,
0.525881,
1.390272,
0.0,
1.508008,
0.34742,
1.307907,
0.0,
0.0,
4.902081],
[0.0,
0.145264,
0.468762,
0.0,
1.0579040000000002,
0.278746,
0.0,
0.781316,
0.0,
0.0],
[0.0, 0.0, 0.60923, 0.0, 0.0, 0.0, 0.0, 0.0, 1.8705009999999997, 0.0],
[0.0, 0.0, 0.44962299999999994, 0.0, 0.169274, 0.0, 0.0, 0.0, 0.0, 0.927243]]What's important to understand here is that the chord library used later needs a matrix as input.
Installing the chord library
All the hard work is gonna be tackled by the chord library. This library basically wraps some javascript functions available in a really powerful library called d3.js. But you do not really need to take care about this 🎉
In order to take advantage of this library, we need to use it:
pip install chordRequirement already satisfied: chord in /opt/anaconda3/lib/python3.8/site-packages (0.10.0)
Note: you may need to restart the kernel to use updated packages.
Most basic chord diagram
Let's start with the most simple chord diagram that can be built with this library
# Import the library
from chord import Chord
# Basic cord diagram
# TODO THIS WON'T WORK BECAUSE INPUT TYPE ISNT RECOGNIZE
# Chord(data, names).to_html("../../static/interactiveCharts/chord-diagram-chord-library.html")matrix = [
[0, 5, 6, 4, 7, 4],
[5, 0, 5, 4, 6, 5],
[6, 5, 0, 4, 5, 5],
[4, 4, 4, 0, 5, 5],
[7, 6, 5, 5, 0, 4],
[4, 5, 5, 5, 4, 0],
]
names = ["Action", "Adventure", "Comedy", "Drama", "Fantasy", "Thriller"]
matrix
[[0, 5, 6, 4, 7, 4],
[5, 0, 5, 4, 6, 5],
[6, 5, 0, 4, 5, 5],
[4, 4, 4, 0, 5, 5],
[7, 6, 5, 5, 0, 4],
[4, 5, 5, 5, 4, 0]]Chord(matrix, names).to_html("../../static/interactiveCharts/chord-diagram-chord-library.html")%%html
<iframe src="../../interactiveCharts/chord-diagram-chord-library.html" width="800" height="600" title="Chord diagram with the chord library" style="border:none"></iframe>
