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Adjusting the Radius scales

Preamble

In [1]:
from plotapi import Chord

Chord.set_license("your username", "your license key")

Introduction

We can adjust the inner and outer radius scale of our Chord diagram if it suites our desired design. This will change the thickness of the segmets.

As we can see, we have set our license details in the preamble with Chord.set_license()

Dataset

Chord expects a list of names (list[str]) and a co-occurence matrix (list[list[float]]) as input.

In [2]:
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"]

It may look more clear if we present this as a table with the columns and indices labelled. This is entirely optional.

In [3]:
import pandas as pd
pd.DataFrame(matrix, columns=names, index=names)
Out[3]:
Action Adventure Comedy Drama Fantasy Thriller
Action 0 5 6 4 7 4
Adventure 5 0 5 4 6 5
Comedy 6 5 0 4 5 5
Drama 4 4 4 0 5 5
Fantasy 7 6 5 5 0 4
Thriller 4 5 5 5 4 0

Visualisation

We can control the radius scales by setting the inner_radius_scale and outer_radius_scale parameters.

Here we're using .show() which outputs to a Jupyter Notebook cell, however, we may want to output to a HTML file with .to_html() instead. More on the different output methods later!

Be sure to interact with the visualisation to see what the default settings can do!

In [4]:
Chord(matrix, names, inner_radius_scale=0.3, outer_radius_scale=1.5).show()
Plotapi - Chord Diagram

You can do so much more than what's presented in this example, and we'll cover this in later sections. If you want to see the full list of growing features, check out the Plotapi Documentation. and the Plotapi Gallery.

Made with Plotapi

You can create beautiful, interactive, and engaging visualisations like this one in any programming language with Plotapi.

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