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Coloured and Invisible Diagonals

Preamble

In [1]:
from plotapi import Chord

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

Introduction

By default, Plotapi Chord displays occurrences where a category is not related to another category. These values appear in the diagonal of the matrix. It may be desirable to hide (but not remove) these values, this is possible with Plotapi.

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]:
names=['one','two','three','four','five','six']

matrix = [
    [19, 5, 6, 4, 7, 4],
    [5, 4, 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],
]

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]:
one two three four five six
one 19 5 6 4 7 4
two 5 4 5 4 6 5
three 6 5 0 4 5 5
four 4 4 4 0 5 5
five 7 6 5 5 0 4
six 4 5 5 5 4 0

Visualisation

The representation of the diagonal values can be hidden by setting colored_diagonals=False.

Let's first see what they look like when they're visible.

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, title="Diagonals coloured").show()
Plotapi - Chord Diagram

Now let's see what it looks like when they're not visible.

In [5]:
Chord(matrix, names, title="Diagonals not coloured",
      colored_diagonals=False).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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