Metadata-Version: 2.3
Name: nhl_vis_386
Version: 0.1.8
Summary: Simple functions for obtaining and visualizing NHL data
License: MIT
Requires-Dist: matplotlib>=3.10.7
Requires-Dist: numpy>=2.3.5
Requires-Dist: openpyxl>=3.1.5
Requires-Dist: pandas>=2.3.3
Requires-Dist: plotly>=6.5.0
Requires-Python: >=3.13
Project-URL: Homepage, https://github.com/mcooperjay/NHL-vis
Project-URL: Issues, https://github.com/mcooperjay/NHL-vis/issues
Project-URL: Repository, https://github.com/mcooperjay/NHL-vis.git
Description-Content-Type: text/markdown

# 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

```bash
pip install nhl_vis_386 
```

## Usage

```python

# 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