Getting started with Plotapi Chord
source link: https://datacrayon.com/posts/plotapi/chord/getting-started-with-chord/
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Plotapi - Chord Diagram
Preamble¶
from plotapi import Chord
Chord.set_license("your username", "your license key")Introduction¶
Your first Plotapi Chord Diagram! 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.
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.
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
Visualisation¶
Creating our first Chord Diagram is as easy as calling Plotapi with our two inputs.
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!
Chord(matrix, names).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.
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