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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()

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