Visualizations Showcase
Pokemon Types with Heat Map
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.
Preamble
import json
from plotapi import HeatMap
Introduction
In this notebook we're going to use PlotAPI HeatMap 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 Chord for this visualisation.
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.
plot = 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,
)
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="Pokémon Types (Gen 1-9)",
description='''In this project we're going to use PlotAPI to visualize the co-occurrences between Pokémon types. We're going to use Pokémon (Gen 1-9) data, a fork of which is available in @shahinrostami's GitHub.''',
maximized=True,
full_width=True,
public=True,
custom_css=custom_css
)