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

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Animation Settings and Intro

Made with Plotapi

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

Preamble

In [1]:
from plotapi import Sankey

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

Introduction

Plotapi Sankey supports animations - both for interactions and for nice introductions to our visualisation.

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

Dataset

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

In [2]:
links = [
    {"source":"Group A", "target":"Rank 1", "value": 1000},
    {"source":"Group B", "target":"Rank 1", "value": 300},
    {"source":"Group B", "target":"Rank 2", "value": 600},
    {"source":"Group B", "target":"Rank 3", "value": 400},
    {"source":"Rank 1", "target":"Club A", "value": 700},
    {"source":"Rank 1", "target":"Club B", "value": 400},
    {"source":"Rank 1", "target":"Club C", "value": 200},
    {"source":"Rank 2", "target":"Club B", "value": 200},
    {"source":"Rank 2", "target":"Club C", "value": 400},
    {"source":"Rank 3", "target":"Withdrawn", "value": 400},
    {"source":"Club A", "target":"The Most Amazing Prize", "value": 500},
]

We can add many sources and targets in any arrangement.

Visualisation

We can control the animations with the following:

  • animated_intro - If set to true, will play an animation when the visualisaiton is loaded. This works nicely when paired with the.to_mp4() end-point to create a video.
  • animated_duration - The duration of the intro animation in milliseconds.
  • animated_links_speed - The duration of the animation when traversing each link when mousing over a node.
  • animated_hide_speed - The duration of the animation when moving the mouse out of a node.

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!

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

In [10]:
Sankey(links, animated_intro=True, animated_duration=5000,
       animated_links_speed=3000, animated_hide_speed=2000).show()
Plotapi - Sankey Diagram
In [12]:
Sankey(links, animated_intro=True, animated_duration=5000,
       animated_links_speed=3000, animated_hide_speed=2000).show_mp4()

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.

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