Retrieve American football data in Python
Project description
cfbfastR-py
See CHANGELOG.md for details.
The goal of cfbfastR-py is to provide the community with a python package for working with American Football data as a companion to the cfbfastR R package. Beyond data aggregation and tidying ease, one of the multitude of services that cfbfastR-py provides is for benchmarking open-source expected points and win probability metrics.
Installation
cfbfastR-py can be installed via pip:
pip install cfbfastR-py
or from the repo (which may at times be more up to date):
git clone https://github.com/saiemgilani/cfbfastR-py
cd cfbfastR-py
pip install -e .
Our Authors
Citations
To cite the cfbfastR-py
Python package in publications, use:
BibTex Citation
@misc{saiemgilani2021cfbfastRpy,
author = {Gilani, Saiem},
title = {cfbfastR-py: The SportsDataverse's Python Package for American Football Data.},
url = {https://cfbfastR-py.sportsdataverse.org},
season = {2021}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file cfbfastR-py-0.0.9.tar.gz
.
File metadata
- Download URL: cfbfastR-py-0.0.9.tar.gz
- Upload date:
- Size: 31.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6e2d47cde48c17f1c872c4d0f33bbd129f480193f70fbf47803dfbfa9385cdc0 |
|
MD5 | 589df33c0b893b57ef3262565beed0bb |
|
BLAKE2b-256 | 56b39ff07db8ee8c36c20daccbb9418cc43ada0d4fe951e94d092575057a7c74 |
File details
Details for the file cfbfastR_py-0.0.9-py3-none-any.whl
.
File metadata
- Download URL: cfbfastR_py-0.0.9-py3-none-any.whl
- Upload date:
- Size: 29.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | afcfac7e9af0a110dad0606cebac61b025fdde0487aed3a518cc5948cd9bfcd6 |
|
MD5 | 4d8e53869debe7ea322e81bed58d24de |
|
BLAKE2b-256 | 3fd5b71334d845d3efae40c6b4c65106a689620a8d868907ed7dedf867450af6 |