Package: chartify
Chartify is a Python library that makes it easy 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 the API as intuitive and easy to learn as possible.Flexibility: Chartify is built on top ofBokeh, so if you do need more control you can always fall back on Bokeh’s API.ExamplesSee this notebook for more examples!.InstallationChartify can be installed via pip:pip3 install chartifyInstall chromedriver requirement (Optional. Needed for PNG output):Install google chrome.Download the appropriate version of chromedriver for your OShere.Copy the executable file to a directory within your PATH.View directorys in your PATH variable:echo $PATHCopy chromedriver to the appropriate directory, e.g.:cp chromedriver /usr/local/binGetting startedThistutorial notebookis the best place to get started with a guided tour of the core concepts of Chartify.From there, check out theexample notebookfor a list of all the available plots.DocsDocumentation available onchartify.readthedocs.ioGetting supportJoin #chartify on spotify-foss.slack.com (Get an invite)Use thechartify tag on StackOverflow.ResourcesData Visualization withChartifyCode of ConductThis project adheres to theOpen Code of Conduct. By participating, you are expected to honor this code.ContributingSee the contributing docs.History4.0.5 (2023-10-12)Relaxed scipy and pandas version requirements to allow verions 2.x4.0.4 (2023-08-23)Documentation build fixPin tornado requirement to reduce vulnerability4.0.3 (2023-04-21)Require jupyter_bokeh to enable html output4.0.2 (2023-03-30)Fix categorical_order_by check for scatter plotFix categorical_order_by check for _construct_sourceRefactor category sorting in _construct_sourceAdd tests for categorical_order_byFix scatter plot tests that used line plots4.0.1 (2023-03-24)Updated version requirement of pillow to avoid bug4.0.0 (2023-03-23)Dropped support for python 3.6 and 3.73.1.0 (2023-03-22)Added Boxplot Chart including example in examples notebook3.0.5 (2022-12-13)Fixed a few errors in example and tutorial notebooksFixed a typo in requirements.txt3.0.4 (2022-10-18)Updated package requirementsGot rid of future deprecation warningsBugfix related to legend for graphs with multiple groups and colors3.0.2 (2020-10-21)Support pyyaml 5.2+3.0.1 (2020-06-02)Reduce dependencies by switching from Jupyter to IPython.3.0.0 (2020-05-29)Updated Python to 3.6+ and Pandas to 1.0+ (Thanks @tomasaschan!)Updated Bokeh to 2.0+Removed colour dependency to fix setup errors.2.7.0 (2019-11-27)Bugfixes:Updated default yaml loader to move off of
deprecated method (Thanks @vh920!)Updated legend handling to adjust for deprecated methods
in recent versions of Bokeh (Thanks for reporting @jpkoc)Updated license in setup.py (Thanks for reporting @jsignell)Bump base Pillow dependency to avoid insecure version.Update MANIFEST to include missing files (Thanks @toddrme2178!)2.6.1 (2019-08-15)Bugfixes:Moved package requirements and fixed bug that occured with
latest version of Bokeh (Thanks @emschuch & @mollymzhu!)Fixed bug in README while generating docs (Thanks @Bharat123rox!)2.6.0 (2019-03-08)Improvements:Allows users to plot colors on bar charts that aren’t contained in the
categorical axis.Bugfixes:Fixed bug that caused float types to break when plotted with categorical
text plots (Thanks for finding @danela!)Fixed broken readme links.2.5.0 (2019-02-17)Improvements:Added Radar Chart2.4.0 (2019-02-16)Improvements:Added second Y axis plotting.Removed Bokeh loading notification on import (Thanks @canavandl!)Added support for custom Bokeh resource loading (Thanks @canavandl!)Added example for Chart.save() method (Thanks @david30907d!)Bugfixes:Updated documentation for saving and showing svgs.Fixed bug that broke plots with no difference between min and max
points. (Thanks for finding @fabioconcina!)2.3.5 (2018-11-21)Improvements:Updated docstrings (Thanks @gregorybchris @ItsPugle!)Added SVG output options to Chart.show() and Chart.save()
(Thanks for the suggestion @jdmendoza!)Bugfixes:Fixed bug that caused source label to overlap with xaxis labels.Fixed bug that prevented x axis orientation changes
with datetime axes (Thanks for finding @simonwongwong!)Fixed bug that caused subtitle to disappear
withoutside_toplegend location (Thanks for finding @simonwongwong!)Line segment callout properties will work
correctly. (Thanks @gregorybchris!)2.3.4 (2018-11-13)Updated Bokeh version requirements to support 1.02.3.3 (2018-10-24)Removed upper bound of Pillow dependency.2.3.2 (2018-10-18)Stacked bar and area order now matches default vertical legend order.Added method for shifting color palettes.Added scatter plots with a single categorical axis.Fixed bug with text_stacked that occurred with multiple categorical levels.2.3.1 (2018-09-27)Fix scatter plot bug that can occur due to nested data types.2.3.0 (2018-09-26)Added hexbin plot type.More control over grouped axis label orientation.Added alpha control to scatter, line, and parallel plots.Added control over marker style to scatter plot.Added ability to create custom color palettes.Changed default accent color.Visual tweaks to lollipop plot.Bar plots with a few number of series will have better widths.2.2.0 (2018-09-17)First release on PyPI.