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Changing Animation Properties

Made with Plotapi

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

Preamble

In [2]:
from plotapi import Terminus

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

Introduction

The Terminus animation can be modified to improve the presentation of our diagram, giving us control over a pixel's journey duration, how many pixels are dispatched at once, and the delay before the animation begins.

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

Dataset

Terminus expects a list of dictionary items, these will define the flow of pixels between a source and a target.

In [3]:
links = [
    {"source":"England", "target":"Germany", "value": 1000},
    {"source":"England", "target":"France", "value": 3000},
    {"source":"England", "target":"Spain", "value": 5000},
    {"source":"England", "target":"Italy", "value": 4000},
    {"source":"England", "target":"Japan", "value": 800},

    
    {"source":"Ireland", "target":"Germany", "value": 3500},
    {"source":"Ireland", "target":"France", "value": 3750},
    {"source":"Ireland", "target":"Spain", "value": 1750},
    {"source":"Ireland", "target":"Italy", "value": 5000},
    {"source":"Ireland", "target":"Japan", "value": 400},
]

We can add many source's and target's! As they increase, we may need to adjust Terminus layout properties to accomodate the diagram's size and throughput.

Visualisation

There are many opportunities to customise the Terminus animation.

  • delay, how long to wait before the animation begins
  • pixel_journey_duration, how long each pixel should take from the beginning to end terminus.
  • pixel_batch_size, how many pixels will start their journey at each interval.

Higher pixel_journey_duration and pixel_batch_size values will result in worse performance. We may need to tune them if we want to go to an extreme.

Let's try a fast-moving Terminus diagram.

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

In [7]:
Terminus(links, delay=3000, pixel_journey_duration=1500, pixel_batch_size=10).show()
Plotapi - Terminus Diagram

You can do so much more than what's presented in this example, and this is covered in other sections. If you want to see the full list of growing features, check out the Plotapi API Documentation.

Made with Plotapi

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

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