Matplotlib JOTA style for making figures

Overview

JOTA VIZ STYLES

Matplotlib JOTA style for making figures This repo has Matplotlib JOTA style to format plots and figures for publications and presentation.

Getting Started

The easist way to install jotaviz is to use pip:

# to install the latest release (from PyPI) 
pip install jotaviz

# in Ubuntu/Debian
python3 -m pip install jotaviz

# to install latest commit (from GitHub)
pip install git+https://github.com/JOTAJornalismo/jotaviz.git

# to clone and install from a local copy
git clone https://github.com/JOTAJornalismo/jotaviz.git
cd jotaviz
pip install -e .

The pip installation will automatically move all of the Matplotlib style files *.mplstyle into the appropriate directory on your computer.

Please see the FAQ section for more information and troubleshooting.

Using the Style

"extensys" is the main style from this repo. Whenever you want to use it, simply add the following to the top of your python script:

import matplotlib.pyplot as plt
plt.style.use('jotaviz')

Available styles include:

jotaviz, jotaviz-black, jotaviz-white, jotaviz-glass

To use any of the styles temporarily, you can use:

with plt.style.context(['jotaviz']):
    plt.figure()
    plt.plot(x, y)
    plt.show()

The default format to save figure is .png with dpi=500. Other formats by obtained by passing it in the plt.savefig as well as the dpi. For example:

plt.savefig("figures/fig1" + ".pdf", dpi=1000)

Examples

The jotaviz style:

The jotaviz-white style (with markers)

The jotaviz-black style (with grid)

The extensys + dark_background style

Help and Contribution

Please feel free to contribute to the jotaviz repo! Before starting a new style or making any changes, please create an issue through the GitHub issue tracker.

If you need any help with jotaviz, please first check the FAQ and search through the previous GitHub issues. If you can't find an answer, create a new issue through the GitHub issue tracker.

You can checkout Matplotlib's documentation for more information on plotting settings.

Citation

You don't have to cite jotaviz if you use it but it's nice if you do:

@article{jotaviz,
    author    = {Daniel Marcelino},
    title     = {{JOTAJornalismo/jotaviz}},
    month     = {nov},
    year      = {2021},
    publisher = {},
    version   = {1.0.0},
    doi       = {},
    url       = {}
}

License

MIT

Owner
JOTA JORNALISMO
JOTA JORNALISMO
The Python ensemble sampling toolkit for affine-invariant MCMC

emcee The Python ensemble sampling toolkit for affine-invariant MCMC emcee is a stable, well tested Python implementation of the affine-invariant ense

Dan Foreman-Mackey 1.3k Jan 04, 2023
Python support for Godot 🐍🐍🐍

Godot Python, because you want Python on Godot ! The goal of this project is to provide Python language support as a scripting module for the Godot ga

Emmanuel Leblond 1.4k Jan 04, 2023
The interactive graphing library for Python (includes Plotly Express) :sparkles:

plotly.py Latest Release User forum PyPI Downloads License Data Science Workspaces Our recommended IDE for Plotly’s Python graphing library is Dash En

Plotly 12.7k Jan 05, 2023
Area-weighted venn-diagrams for Python/matplotlib

Venn diagram plotting routines for Python/Matplotlib Routines for plotting area-weighted two- and three-circle venn diagrams. Installation The simples

Konstantin Tretyakov 400 Dec 31, 2022
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
Simple Python interface for Graphviz

Simple Python interface for Graphviz

Sebastian Bank 1.3k Dec 26, 2022
Leyna's Visualizing Data With Python

Leyna's Visualizing Data Below is information on the number of bilingual students in three school districts in Massachusetts. You will also find infor

11 Oct 28, 2021
Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from time series data.

ts2vg: Time series to visibility graphs The Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from t

Carlos Bergillos 26 Dec 17, 2022
Simple CLI python app to show a stocks graph performance. Made with Matplotlib and Tiingo.

stock-graph-python Simple CLI python app to show a stocks graph performance. Made with Matplotlib and Tiingo. Tiingo API Key You will need to add your

Toby 3 May 14, 2022
Graphical display tools, to help students debug their class implementations in the Carcassonne family of projects

carcassonne_tools Graphical display tools, to help students debug their class implementations in the Carcassonne family of projects NOTE NOTE NOTE The

1 Nov 08, 2021
Use Perspective to create the chart for the trader’s dashboard

Task Overview | Installation Instructions | Link to Module 3 Introduction Experience Technology at JP Morgan Chase Try out what real work is like in t

Abdulazeez Jimoh 1 Jan 22, 2022
Simple and lightweight Spotify Overlay written in Python.

Simple Spotify Overlay This is a simple yet powerful Spotify Overlay. About I have been looking for something like this ever since I got Spotify. I th

27 Sep 03, 2022
Time series visualizer is a flexible extension that provides filling world map by country from real data.

Time-series-visualizer Time series visualizer is a flexible extension that provides filling world map by country from csv or json file. You can know d

Long Ng 3 Jul 09, 2021
Extract data from ThousandEyes REST API and visualize it on your customized Grafana Dashboard.

ThousandEyes Grafana Dashboard Extract data from the ThousandEyes REST API and visualize it on your customized Grafana Dashboard. Deploy Grafana, Infl

Flo Pachinger 16 Nov 26, 2022
Peloton Stats to Google Sheets with Data Visualization through Seaborn and Plotly

Peloton Stats to Google Sheets with Data Visualization through Seaborn and Plotly Problem: 2 peloton users were looking for a way to track their metri

9 Jul 22, 2022
Profile and test to gain insights into the performance of your beautiful Python code

Profile and test to gain insights into the performance of your beautiful Python code View Demo - Report Bug - Request Feature QuickPotato in a nutshel

Joey Hendricks 138 Dec 06, 2022
Statistics and Visualization of acceptance rate, main keyword of CVPR 2021 accepted papers for the main Computer Vision conference (CVPR)

Statistics and Visualization of acceptance rate, main keyword of CVPR 2021 accepted papers for the main Computer Vision conference (CVPR)

Hoseong Lee 78 Aug 23, 2022
Glue is a python project to link visualizations of scientific datasets across many files.

Glue Glue is a python project to link visualizations of scientific datasets across many files. Click on the image for a quick demo: Features Interacti

675 Dec 09, 2022
Learn Basic to advanced level Data visualisation techniques from this Repository

Data visualisation Hey, You can learn Basic to advanced level Data visualisation techniques from this Repository. Data visualization is the graphic re

Shashank dwivedi 16 Jan 03, 2023
Yata is a fast, simple and easy Data Visulaization tool, running on python dash

Yata is a fast, simple and easy Data Visulaization tool, running on python dash. The main goal of Yata is to provide a easy way for persons with little programming knowledge to visualize their data e

Cybercreek 3 Jun 28, 2021