cfanalytics is an open source project and Python package that aims to provide analyzes to CrossFit® workouts. The goal is to enhance data-driven performance of athletes.
The version numbers 0.1.X are all development versions as I chip away at the project on here in my spare time. I occasionally build the package if i've finished something large. But you can grab the least-buggy version of this package by typing:
pip install git+https://github.com/raybellwaves/cfanalytics
Make sure you have the optional dependencies installed below for this to work.
The psudo-stable packages are here.
conda install -c conda-forge cfanalytics
pip install cfanalytics
As a precautionary note, it has been developed entirely on Mac OSX using Python installed with anaconda. Therefore, use in Windows and Linux at your own peril.
As good practice, I recommend installing with anaconda/miniconda and in a new enviroment:
$ conda create -n cfa python=3.6 $ source activate cfa $ conda install -c matplotlib cartopy $ pip install git+https://github.com/raybellwaves/cfanalytics $ # eventually: conda install -c conda-forge cfanalytics matplotlib cartopy
You can type source deactivate when finished. You can also check which environments you have created by typing conda info --envs.
To remove an environment type conda remove --name cfa --all.
- matplotlib: for plotting.
- cartopy: for plotting.
See examples here.
The documentation is hosted at http://cfanalytics.readthedocs.io/
- Thanks to posts on r/crossfit. e.g. here, I worked out how to download data from the CrossFit® open.
Cfopendatais a very minor adaptation from captamericadevs/CFOpenData. Who smartly developed code to download CrossFit® open data using aiohttp.Affliatelistused this answer as well as this answer on SO.Cfplot().regionplot()was made possible by the work of the cartopy developers and developers of Natural Earth.- xarray developers. Whose package template I used for this package as well as the package itself.
This project is not affiliated with CrossFit, Inc.