🧇 Make Waffle Charts in Python.

Overview

PyWaffle

PyPI version ReadTheDocs Binder

PyWaffle is an open source, MIT-licensed Python package for plotting waffle charts.

It provides a Figure constructor class Waffle, which could be passed to matplotlib.pyplot.figure and generates a matplotlib Figure object.

PyPI Page: https://pypi.org/project/pywaffle/

Documentation: http://pywaffle.readthedocs.io/

Installation

pip install pywaffle

Requirements

  • Python 3.5+
  • Matplotlib

Examples

1. Value Scaling

import matplotlib.pyplot as plt
from pywaffle import Waffle
fig = plt.figure(
    FigureClass=Waffle, 
    rows=5, 
    columns=10, 
    values=[48, 46, 6],
    figsize=(5, 3)
)
plt.show()

basic

The values are automatically scaled to 24, 23 and 3 to fit 5 * 10 chart size.

2. Values in dict & Auto-sizing

data = {'Democratic': 48, 'Republican': 46, 'Libertarian': 3}
fig = plt.figure(
    FigureClass=Waffle, 
    rows=5, 
    values=data, 
    legend={'loc': 'upper left', 'bbox_to_anchor': (1.1, 1)}
)
plt.show()

Use values in dictionary; use absolute value as block number, without defining columns

In this example, since only rows is specified and columns is empty, absolute values in values are used as block numbers. Similarly, rows could also be optional if columns is specified.

If values is a dict, its keys are used as labels.

3. Title, Legend, Colors, Background Color, Block Color, Direction and Style

data = {'Democratic': 48, 'Republican': 46, 'Libertarian': 3}
fig = plt.figure(
    FigureClass=Waffle, 
    rows=5, 
    values=data, 
    colors=["#232066", "#983D3D", "#DCB732"],
    title={'label': 'Vote Percentage in 2016 US Presidential Election', 'loc': 'left'},
    labels=[f"{k} ({v}%)" for k, v in data.items()],
    legend={'loc': 'lower left', 'bbox_to_anchor': (0, -0.4), 'ncol': len(data), 'framealpha': 0},
    starting_location='NW',
    block_arranging_style='snake'
)
fig.set_facecolor('#EEEEEE')
plt.show()

Add title, legend and background color; customize the block color

Many parameters, like title and legend, accept the same parameters as in Matplotlib.

4. Plot with Icons - Pictogram Chart

data = {'Democratic': 48, 'Republican': 46, 'Libertarian': 3}
fig = plt.figure(
    FigureClass=Waffle, 
    rows=5, 
    values=data, 
    colors=["#232066", "#983D3D", "#DCB732"],
    legend={'loc': 'upper left', 'bbox_to_anchor': (1, 1)},
    icons='child', 
    font_size=12, 
    icon_legend=True
)
plt.show()

Use Font Awesome icons

PyWaffle supports Font Awesome icons in the chart.

5. Multiple Plots in One Chart

import pandas as pd
data = pd.DataFrame(
    {
        'labels': ['Hillary Clinton', 'Donald Trump', 'Others'],
        'Virginia': [1981473, 1769443, 233715],
        'Maryland': [1677928, 943169, 160349],
        'West Virginia': [188794, 489371, 36258],
    },
).set_index('labels')

# A glance of the data:
#                  Maryland  Virginia  West Virginia
# labels                                            
# Hillary Clinton   1677928   1981473         188794
# Donald Trump       943169   1769443         489371
# Others             160349    233715          36258


fig = plt.figure(
    FigureClass=Waffle,
    plots={
        '311': {
            'values': data['Virginia'] / 30000,
            'labels': [f"{k} ({v})" for k, v in data['Virginia'].items()],
            'legend': {'loc': 'upper left', 'bbox_to_anchor': (1.05, 1), 'fontsize': 8},
            'title': {'label': '2016 Virginia Presidential Election Results', 'loc': 'left'}
        },
        '312': {
            'values': data['Maryland'] / 30000,
            'labels': [f"{k} ({v})" for k, v in data['Maryland'].items()],
            'legend': {'loc': 'upper left', 'bbox_to_anchor': (1.2, 1), 'fontsize': 8},
            'title': {'label': '2016 Maryland Presidential Election Results', 'loc': 'left'}
        },
        '313': {
            'values': data['West Virginia'] / 30000,
            'labels': [f"{k} ({v})" for k, v in data['West Virginia'].items()],
            'legend': {'loc': 'upper left', 'bbox_to_anchor': (1.3, 1), 'fontsize': 8},
            'title': {'label': '2016 West Virginia Presidential Election Results', 'loc': 'left'}
        },
    },
    rows=5,  # outside parameter applied to all subplots
    colors=["#2196f3", "#ff5252", "#999999"],  # outside parameter applied to all subplots
    figsize=(9, 5)
)
plt.show()

Multiple plots

In this chart, 1 block = 30000 votes.

Data source https://en.wikipedia.org/wiki/United_States_presidential_election,_2016.

Demo

Wanna try it yourself? There is Online Demo!

What's New

See CHANGELOG

License

  • PyWaffle is under MIT license, see LICENSE file for the details.
  • The Font Awesome font is licensed under the SIL OFL 1.1: http://scripts.sil.org/OFL
Owner
Guangyang Li
Guangyang Li
A Python package for caclulations and visualizations in geological sciences.

geo_calcs A Python package for caclulations and visualizations in geological sciences. Free software: MIT license Documentation: https://geo-calcs.rea

Drew Heasman 1 Jul 12, 2022
script to generate HeN ipfs app exports of GLSL shaders

HeNerator A simple script to generate HeN ipfs app exports from any frag shader created with: GlslViewer GlslEditor The Book of Shaders glslCanvas VS

Patricio Gonzalez Vivo 22 Dec 21, 2022
`charts.css.py` brings `charts.css` to Python. Online documentation and samples is available at the link below.

charts.css.py charts.css.py provides a python API to convert your 2-dimension data lists into html snippet, which will be rendered into charts by CSS,

Ray Luo 3 Sep 23, 2021
Manim is an animation engine for explanatory math videos.

A community-maintained Python framework for creating mathematical animations.

12.4k Dec 30, 2022
A command line tool for visualizing CSV/spreadsheet-like data

PerfPlotter Read data from CSV files using pandas and generate interactive plots using bokeh, which can then be embedded into HTML pages and served by

Gino Mempin 0 Jun 25, 2022
A custom qq-plot for two sample data comparision

QQ-Plot 2 Sample Just a gist to include the custom code to draw a qq-plot in python when dealing with a "two sample problem". This means when u try to

1 Dec 20, 2021
nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.

nptsne nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation and HSNE modelling. For more detail s

Biomedical Visual Analytics Unit LUMC - TU Delft 29 Jul 05, 2022
Visualizations of some specific solutions of different differential equations.

Diff_sims Visualizations of some specific solutions of different differential equations. Heat Equation in 1 Dimension (A very beautiful and elegant ex

2 Jan 13, 2022
Make sankey, alluvial and sankey bump plots in ggplot

The goal of ggsankey is to make beautiful sankey, alluvial and sankey bump plots in ggplot2

David Sjoberg 156 Jan 03, 2023
This project is an Algorithm Visualizer where a user can visualize algorithms like Bubble Sort, Merge Sort, Quick Sort, Selection Sort, Linear Search and Binary Search.

Algo_Visualizer This project is an Algorithm Visualizer where a user can visualize common algorithms like "Bubble Sort", "Merge Sort", "Quick Sort", "

Rahul 4 Feb 07, 2022
Learn Data Science with focus on adding value with the most efficient tech stack.

DataScienceWithPython Get started with Data Science with Python An engaging journey to become a Data Scientist with Python TL;DR Download all Jupyter

Learn Python with Rune 110 Dec 22, 2022
Curvipy - The Python package for visualizing curves and linear transformations in a super simple way

Curvipy - The Python package for visualizing curves and linear transformations in a super simple way

Dylan Tintenfich 55 Dec 28, 2022
Make scripted visualizations in blender

Scripted visualizations in blender The goal of this project is to script 3D scientific visualizations using blender. To achieve this, we aim to bring

Praneeth Namburi 10 Jun 01, 2022
Simulation du problème de Monty Hall avec Python et matplotlib

Le problème de Monty Hall C'est un jeu télévisé où il y a trois portes sur le plateau de jeu. Seule une de ces portes cache un trésor. Il n'y a rien d

ETCHART YANG 1 Jan 06, 2022
HM02: Visualizing Interesting Datasets

HM02: Visualizing Interesting Datasets This is a homework assignment for CSCI 40 class at Claremont McKenna College. Go to the project page to learn m

Qiaoling Chen 11 Oct 26, 2021
GitHubPoster - Make everything a GitHub svg poster

GitHubPoster Make everything a GitHub svg poster 支持 Strava 开心词场 扇贝 Nintendo Switch GPX 多邻国 Issue

yihong 1.3k Jan 02, 2023
Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js

Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js

Péter Ferenc Gyarmati 1 Jan 17, 2022
A library for bridging Python and HTML/Javascript (via Svelte) for creating interactive visualizations

A library for bridging Python and HTML/Javascript (via Svelte) for creating interactive visualizations

Anthropic 98 Dec 27, 2022
Because trello only have payed options to generate a RunUp chart, this solves that!

Trello Runup Chart Generator The basic concept of the project is that Corello is pay-to-use and want to use Trello To-Do/Doing/Done automation with gi

Rômulo Schiavon 1 Dec 21, 2021
A little word cloud generator in Python

Linux macOS Windows PyPI word_cloud A little word cloud generator in Python. Read more about it on the blog post or the website. The code is tested ag

Andreas Mueller 9.2k Dec 30, 2022