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.
Installation:
- 1.) Install python package depedencies.
$ pip install strictly-metric
Example Usage:
from player_metric import player_metric
player_object = player_metric.PlayerMetric(df_all=df_all, df_boxscore=df_boxscore)
#Calculate aggregate and per game metrics for the player.
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
strictly-metric-1.0.9.tar.gz
(5.1 kB
view details)
File details
Details for the file strictly-metric-1.0.9.tar.gz.
File metadata
- Download URL: strictly-metric-1.0.9.tar.gz
- Upload date:
- Size: 5.1 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 |
5f0f0be57aec0430649118f6d3d9decfd9dd81f5b3c92926425574b12f5377c7
|
|
| MD5 |
94159555beb492002a7e5cad0651b148
|
|
| BLAKE2b-256 |
022138e9a6fa368bf0559049928acad0782aecf4a88f74900b53069db1a4b9a2
|