Python library that makes it easy for data scientists to create charts.
APACHE-2.0 License
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Chartify is a Python library that makes it easy for data scientists to create charts.
Bokeh <http://bokeh.pydata.org/en/latest/>
_, so if you do need more control you can always fall back on Bokeh's API... image:: https://raw.githubusercontent.com/spotify/chartify/master/docs/_static/chartify1.png .. image:: https://raw.githubusercontent.com/spotify/chartify/master/docs/_static/chartify2.png .. image:: https://raw.githubusercontent.com/spotify/chartify/master/docs/_static/chartify3.png .. image:: https://raw.githubusercontent.com/spotify/chartify/master/docs/_static/chartify4.png .. image:: https://raw.githubusercontent.com/spotify/chartify/master/docs/_static/chartify5.png .. image:: https://raw.githubusercontent.com/spotify/chartify/master/docs/_static/chartify6.png
See this notebook for more examples! </examples/Examples.ipynb>
_.
pip3 install chartify
here <https://sites.google.com/chromium.org/driver/>
_.echo $PATH
cp chromedriver /usr/local/bin
This tutorial notebook <https://github.com/spotify/chartify/blob/master/examples/Chartify%20Tutorial.ipynb>
_ is the best place to get started with a guided tour of the core concepts of Chartify.
From there, check out the example notebook <https://github.com/spotify/chartify/blob/master/examples/Examples.ipynb>
_ for a list of all the available plots.
Documentation available on chartify.readthedocs.io <https://chartify.readthedocs.io/en/latest/>
_
Join #chartify on spotify-foss.slack.com (Get an invite <https://slackin.spotify.com/>
_)
Use the chartify tag on StackOverflow <https://stackoverflow.com/questions/tagged/chartify>
_.
Chartify <https://www.section.io/engineering-education/data-viz-chartify/>
_This project adheres to the Open Code of Conduct <https://github.com/spotify/code-of-conduct/blob/master/code-of-conduct.md>
_. By participating, you are expected to honor this code.
See the contributing docs <https://github.com/spotify/chartify/blob/master/CONTRIBUTING.rst>
_.