oos
A basic framework for object-oriented sports analysis
Object-Oriented Sports!
This package aims to build a very basic framework to perform sports analysis in a more object-oriented fashion
While data is frequently better suited for a Pandas DataFrame, An object-oriented framework allows for a more natural way to link together the nested structure of sporting events from the players to the plays to the games to the seasons.
This framework is built to be extensible by giving a simple way to transistion lists of objects to DataFrames and visa-versa.
Install
pip install oos
or
conda install oos
or better yet
mamba install oos
How to use
Fill me in please! Don't forget code examples:
1+1
2
Metadata
Release files for oos 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| oos-0.0.2.tar.gz | 11.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| oos-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.6 kB
Release files / oos-0.0.2.tar.gz
| Download URL | oos-0.0.2.tar.gz |
|---|---|
| Size | 11.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
|
Release files / oos-0.0.2-py3-none-any.whl
| Download URL | oos-0.0.2-py3-none-any.whl |
|---|---|
| Size | 9.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
|