Simple functions for obtaining and visualizing NHL data
Project description
nhl_vis_386
Class package to analyze NHL player data from the last 25 years.
Description
This package features:
- Data acquisition functions
- Data aggregation/filtering functions to get stats from specific players and seasons
- Data filters to get stats from a specific team/season roster
- Functions to visualize NHL player stats relative to the rest of the league
Installation
pip install nhl_vis_386
Usage
# Get stats for a player in specific seasons, unaggregated
get_player_stats("Connor Bedard", season=[2023, 2024], aggr=False)
# Get stats for a team's roster
get_roster_stats("CHI", 2024)
# Visualize scatterplot of common metrics, highlighting a team and player
score_scatter(player="Connor Bedard", season = 2024, metrics = ["A", "G"])
# Visualize a player's scoring relative to the league average
score_plot("Connor Bedard", season=2024)
License
MIT
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
nhl_vis_386-0.1.2.tar.gz
(3.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file nhl_vis_386-0.1.2.tar.gz.
File metadata
- Download URL: nhl_vis_386-0.1.2.tar.gz
- Upload date:
- Size: 3.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3c1ac5ded0168803402576ded7f1295771e27d49bc88525205447a0908fde9ec
|
|
| MD5 |
5c2299337e3c3aecca75059d6df7b860
|
|
| BLAKE2b-256 |
68aeeae92b1b42896f21747f659895be8e6f4ac1a800bbe82fe907714677b878
|
File details
Details for the file nhl_vis_386-0.1.2-py3-none-any.whl.
File metadata
- Download URL: nhl_vis_386-0.1.2-py3-none-any.whl
- Upload date:
- Size: 3.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ee44cf0ee9d603db120664f203aa3b10fb25ac3e1b35816e19b416651cfd09fa
|
|
| MD5 |
38634ec49f67c511d92df04f945fc19d
|
|
| BLAKE2b-256 |
8fe8231e8ab0e322e601a8a22226a02c86964c21a9bdc97fcec561bfc1229c7e
|