https://github.com/olgabot/prettyplotlib

Painlessly create beautiful matplotlib plots.
https://github.com/olgabot/prettyplotlib

Last synced: about 1 month ago
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Painlessly create beautiful matplotlib plots.

• Host: GitHub
• URL: https://github.com/olgabot/prettyplotlib
• Owner: olgabot
• License: mit
• Created: 2013-07-18T14:39:58.000Z (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2019-01-31T16:40:48.000Z (about 6 years ago)
• Last Synced: 2025-02-28T03:04:49.333Z (about 2 months ago)
• Language: Python
• Homepage: olgabot.github.io/prettyplotlib
• Size: 27.4 MB
• Stars: 1,696
• Watchers: 84
• Forks: 148
• Open Issues: 11
• Metadata Files:
  • Readme: README
  • Changelog: CHANGES.txt
  • License: LICENSE.txt

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• fintech-awesome-libraries - prettyplotlib - Painlessly create beautiful matplotlib plots. (Data Visualization / General Purposes)

README

        
# Announcement

Thank you to everyone who has used `prettyplotlib` and made it what it is today! Unfortunately, I no longer have the bandwidth to maintain prettyplotlib. I recommend using [`seaborn`](https://github.com/mwaskom/seaborn). Using `seaborn`, to get the `prettyplotlib` style, do:

    import seaborn as sns

    sns.set(style='ticks', palette='Set2')

And to remove "chartjunk", do:

    sns.despine()

If you have discrete pull requests, I will accept them, but I personally will no longer fix bugs.

If you are a biological scientist looking for ways to analyze your big-ish (20+ samples) data, check out my main project, [`flotilla`](https://github.com/YeoLab/flotilla).

[![Build Status](https://travis-ci.org/olgabot/prettyplotlib.png?branch=master)](https://travis-ci.org/olgabot/prettyplotlib)

prettyplotlib

=============

Python matplotlib-enhancer library which painlessly creates beautiful default `matplotlib`

 plots. Inspired by [Edward Tufte](http://www.edwardtufte.com/tufte/)'s work on information design and [Cynthia Brewer](http://www.personal.psu.edu/cab38/)'s work on [color perception](http://colorbrewer2.org/).

I truly believe that scientific progress is impeded when improper data visualizations are used. I spent a lot of time tweaking my figures to make them more understandable, and realized the scientific world could be a better place if the default parameters for plotting libraries followed recent advances in information design research. And thus `prettyplotlib` was born.

Requirements:

* [`matplotlib`](http://matplotlib.org/). Can be installed via `pip install matplotlib` or `easy_install matplotlib`

* [`brewer2mpl`](https://github.com/jiffyclub/brewer2mpl). Can be installed via `pip install brewer2mpl` or `easy_install brewer2mpl`

## Comparison to `matplotlib`

  

    matplotlib default plot


    prettyplotlib default plot


  

  

    matplotlib default scatter


    prettyplotlib default scatter


  

  

    matplotlib default bar


    prettyplotlib default bar


  

  

    matplotlib default hist


    prettyplotlib default hist


  

    matplotlib default hist
with grid


    prettyplotlib default hist
with grid


  

    matplotlib default boxplot


    prettyplotlib default boxplot


  

    matplotlib default pcolormesh
positive and negative data


    prettyplotlib default pcolormesh
positive and negative data


  

    

    matplotlib default pcolormesh
positive data only


    prettyplotlib default pcolormesh
positive data only


  

    

    matplotlib pcolormesh
 negative-valued data with labels


    prettyplotlib pcolormesh
 negative-valued data with labels


  

### Quotes

_"Dis ain't no **ugly**plotlib"_ - Anonymous