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main.py
notebook.ipynb
main.rs
from plotapi import Chord

Chord(matrix, names).show()

Visualizations Showcase

Top Olympic Medal Earning Countries

In this notebook we're going to use PlotAPI Chord to visualise the co-occurrences between countries and medals earned in the olympic games. We"ll use Python, but PlotAPI can be used from any programming language.


Preamble

import json

from plotapi import Chord

Introduction

In this notebook we're going to use PlotAPI Chord to visualise the co-occurrences between countries and medals earned in the olympic games. We"ll use Python, but PlotAPI can be used from any programming language.

Dataset

We're going to use the 120 years of Olympic history dataset, a copy of which is available at this link. Let"s get loading the data.

with open("olympic_medals.json", "r") as f:
    data = json.load(f)

Visualisation

Let's use PlotAPI Chord for this visualisation.

plot = Chord(
    data["matrix"],
    data["names"],
    colors=data["colors"],
    curved_labels=False,
    noun="medals",
    conjunction="awarded",
    verb="",
    details_separator="",
    bipartite=True,
    bipartite_idx=data["bipartite_idx"],
    bipartite_size=0.2,
)

Display inline

plot

Upload to cloud

With our plot created, let's upload it to PlotAPI cloud and get a shareable link.

plot.upload(
    name="Top Olympic Medal Earning Countries",
    description='''In this notebook we're going to use PlotAPI Chord to visualise the co-occurrences between countries and medals earned in the olympic games. We"ll use Python, but PlotAPI can be used from any programming language.''',
    public=True,
)
Your visualization has been uploaded successfully! You can view and share it at https://plotapi.com/explore/view/9539a716-556e-423f-bf75-de0ec8fab3f4.
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