Custom Metric Created for the NBA by Strictly By The Numbers
Project description
Player Metrics:
This repository contains the source code for the #StrictlyBytheNumbers PlayerMetric module. The PlayerMetric module attempts to provide key player metrics that could be then leveraged in a variety ways for a multitude of downstream baskebtall applications.
open source, you can publish by
- 1.) Change the version number in setup.py then publish
- 2.) python setup.py sdist
- 3.) twine upload --skip-existing dist/*
Installation:
- 1.) Install python package depedencies.
$ pip install strictly-metric -U
Example Usage:
# Import python package
from player_metric import player_metric
# Instantiate player object
player_object = player_metric.PlayerMetric(df_all=df_all, df_boxscore=df_boxscore)
# Calculate aggregate and per game metrics for the player, based on df_all and df_boxscore.
player_object.calculate_aggregate_metric()
player_object.calculate_per_game_metric()
# Examine transformed data
player_object.df_all.head()
player_object.df_boxscore.head()
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
File details
Details for the file strictly-metric-1.0.13.tar.gz.
File metadata
- Download URL: strictly-metric-1.0.13.tar.gz
- Upload date:
- Size: 7.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ce150dfc76e1c0786b0979e95825d38efc5c6c22353d6d60bc799614071aac2e
|
|
| MD5 |
44612f5fe3e9c4fc74a6d6f9bda5307c
|
|
| BLAKE2b-256 |
d64408a40dad2dd5c88604563e4a9c63bb6111dd67f115482b80747ada166d45
|