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Engaging plots, made easy.

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

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

Chord(matrix, names).show()

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Preamble

Preamble

from plotapi import HeatMap
import json

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

Introduction

In this notebook we're going to use PlotAPI Heat Map to visualise the co-occurrences between Pokémon types. We"ll use Python, but PlotAPI can be used from any programming language.

Dataset

We're going to use Pokémon (Gen 1-8) data, a fork of which is available in this repository. Let"s get loading the data.

with open("pokemon_types.json", "r") as f:
    data = json.load(f)
    
names = ["Bug", "Dark", "Dragon", "Electric", "Fairy", "Fighting",
         "Fire", "Flying", "Ghost", "Grass", "Ground", "Ice",
         "Normal", "Poison", "Psychic", "Rock", "Steel", "Water"]

Visualisation

Let's use PlotAPI Heat Map for this visualisation, you can see more examples in the Gallery.

We're going to adjust some layout and template parameters, and flip the intro animation on too.

Because we're using a data-table, we can also click on any part of the diagram to "lock" the selection.

HeatMap(
    data["matrix"],
    col_names=names,
    row_names=names,
    colors="turbo"
    details_thumbs=data["details_thumbs"],
    noun="Pokemon",
    thumbs_width=50,
    thumbs_margin=1,
    popup_width=600,
    data_table_column_width=100,
    data_table=data["data_table"],
    data_table_show_indices=False,
    zero_color="transparent",
    scale="exponential",
    scale_exponent=0.40,
).show()
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