Plotapi, beautiful by default.

Let plotapi do the heavy lifting – enabling beautiful interactive visualisations with a single line of code (instead of hundreds).

Get Plotapi

Animations: Intros and Loops


In [1]:
from plotapi import Chord

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


Plotapi Chord supports animations - both for looping and for nice introductions to your visualisation.

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


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)
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


Animations can be controlled with the following parameters:

  • animated_loop will result in an animation that loops forever, this is primarily useful in combination with the to_mp4() end-point to create a looping video.
  • animated_intro will result in an animation that loops once, and serves as a nice introduction to your visualisation as it loads.
  • animated_duration determines how long a single loop will take.

Let's try both approaches.

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!

You may miss the first - you can refresh the page and scroll back down here to catch it!

In [6]:
Chord(matrix, names, wrap_labels=True,
     animated_intro=True, animated_duration=3000).show()
Plotapi - Chord Diagram

This next one will loop forever.

In [8]:
Chord(matrix, names, wrap_labels=True,
     animated_loop=True, animated_duration=3000).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.

Get the Books

Enjoying these notebooks and want more on the subject? Check out the practical books on Data Science, Visualisation, and Evolutionary Algorithms.

Get the books