Skip to content
forked from spotify/chartify

Python library that makes it easier for data scientists to create charts.

License

Notifications You must be signed in to change notification settings

DaveG-P/chartify

 
 

Repository files navigation

Chartify

status release python

Chartify is a Python library that aims to make it as easy as possible for data scientists to create charts.

Why use Chartify?

  • Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format.
  • Smart default styles: Create pretty charts with very little customization required.
  • Simple API: We've attempted to make to the API as intuitive and easy to learn as possible.
  • Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API.

Examples

https://raw.githubusercontent.com/spotify/chartify/master/docs/_static/chartify1.png

https://raw.githubusercontent.com/spotify/chartify/master/docs/_static/chartify2.png

https://raw.githubusercontent.com/spotify/chartify/master/docs/_static/chartify3.png

https://raw.githubusercontent.com/spotify/chartify/master/docs/_static/chartify4.png

https://raw.githubusercontent.com/spotify/chartify/master/docs/_static/chartify5.png

https://raw.githubusercontent.com/spotify/chartify/master/docs/_static/chartify6.png

See this notebook for more examples!.

Installation

  1. Chartify can be installed via pip:

pip3 install chartify

  1. Install chromedriver requirement:
    • Install google chrome.
    • Download the appropriate version of chromedriver for your OS here.
    • Copy the executable file to a directory within your PATH.
      • View directorys in your PATH variable: echo $PATH
      • Copy chromedriver to the appropriate directory, e.g.: cp chromedriver /usr/local/bin

Getting started

This tutorial notebook is the best place to get started with a guided tour of the core concepts of Chartify.

From there, check out the example notebook for a list of all the available plots.

Code of Conduct

This project adheres to the Open Code of Conduct. By participating, you are expected to honor this code.

Contributing

See the contributing docs.

About

Python library that makes it easier for data scientists to create charts.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 99.0%
  • Makefile 1.0%