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Getting started with Plotapi Heat Map

2 min read

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Preamble

In [1]:
from plotapi import HeatMap

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

Introduction

Our first Plotapi Heat Map Diagram! As we can see, we have set our license details in the preamble with HeatMap.set_license()

Dataset

Plotapi Heat Map expects a matrix (list[list[float]]) as input.

In [2]:
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],
]

row_names = ["Action", "Adventure", "Comedy", "Drama", "Fantasy", "Thriller"]
col_names = ["Action", "Adventure", "Comedy", "Drama", "Fantasy", "Thriller"]

Optionally, we can include a list of row_names and col_names (list[str]).

It may look more clear if we present this as a table with the columns and indices labelled. This is entirely optional.

In [3]:
import pandas as pd
pd.DataFrame(matrix, columns=col_names, index=row_names)
Out[3]:
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 Heat Map Diagram is as easy as calling Plotapi with our 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!

In [4]:
HeatMap(matrix, row_names=row_names, col_names=col_names).show()
Plotapi - Heat Map Diagram

If we omit the row_names and col_names, Plotapi will auto-generate the names for us.

In [5]:
HeatMap(matrix).show()
Plotapi - Heat Map 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. and the Plotapi Gallery.

Made with Plotapi

You can create beautiful, interactive, and engaging visualisations like this one in any programming language with Plotapi.

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