Engaging plots, made easy.

Easily turn your data into engaging visualizations. Powerful API for coders. Powerful app for everyone.

from plotapi import Chord

Chord(matrix, names).show()

API for coders

Pipe bundling

Let's take a look at the bundling parameter. This will group together the input, giving the impression that they are entering through the same pipe.

Sample data

Let’s import PlotAPI and load our sample data.

from plotapi import Terminus

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},


To enable bundled pipes, all we need to do is set bundled to True.

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.

Terminus(links, pipe_color="#000000", pipe_opacity=0.1,
Terminus(links, pipe_color="#000000", pipe_opacity=0.1,
         pipe_alignment="middle", bundled=True).show_png()
Notebook PNG image