Skip to content

Latest commit

 

History

History
65 lines (39 loc) · 3.33 KB

Readme.md

File metadata and controls

65 lines (39 loc) · 3.33 KB
Raw

Force Velocity ⚡️

Notebook for obtaining data and KPIs needed in Force Velocity Profiles (from instant velocity over time e.g. GPS, Radar) w/ Usain Bolt Example Data

Bolt

Picture from Film by Gatorade: The Boy Who Learnt To Fly

Getting Started

Duplicate the project on Deepnote (See launch in Deepnote button at top of Readme), or, fork this repo to clone in a local Python environment e.g.

$ git clone git@github.com:githubusername/force_velocity_profile.git && cd force_velocity_profile

Note: For learning purposes, recreate this repository yourself as apposed to cloning or forking.

Story

The methods used in this notebook for calculating Force Velocity Profile data and KPIs were inspired by this post and excel template by JB Morin.

Speed Export Usain Bolt 120805.csv

This csv file contains Usain Bolt's velocity over the period of his 100m Final Race in London, 2012. You'll find it in the data folder. The data has recorded velocity at every 10th of a second (this would be similar to having a GPS device sampling at 10hz).

fvp.ipynb

This is the notebook used for calculating and plotting Usain Bolt's Force Velocity Profile. The notebook can still run without the plots and output the FVP data with KPIs to a csv file within the fvp folder.

helpers.py

This is a Python Module containing some methods imported for use in the notebook. This was mainly done to keep the notebook clean, however, if in Deepnote, you can now hide code from a code cell and still display it's output (open command pallet on a notebook and search: hide), if you prefer that.

Usain Bolt FVP Stats 120805.csv

This is the result of a smooth run of the fvp.ipynb notebook. The KPIS will be simply be appened onto the end of the modeled FVP data (to avoid having that data separate, could alternatively store as JSON).

Dependencies

If on Deepnote, please see the init.ipynb (environment tab) to see how the project is setup. If cloned locally, install dependencies in Pipfile. See the docs for help on pipenv (if not familiar) e.g.

# Install pipenv (if not already)
$ pip install --user pipenv
# Run pipenv install (within cloned project directory)
$ pipenv install

And install jupyter if you'd like to run the notebook version e.g.

$ pipenv install jupyter

Running

To run the notebook simply open the fvp.ipynb file within your chosen Python environment (Jupyter/Deepnote). For a local development setup, do something like...

$ pipenv run jupyter notebook .

Contributing

See contributing.md