Welcome to chartify’s documentation!

(What’s new?).

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.

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.

Indices and tables