semvec/pypi-packages huggingface dataset:
nwslpy 0.0.0.7000
Python wrapper around the nwslR library
Requires Python: >=3.7

# nwslpy <img src="nwslR.png" align="right" height="139" />

`nwslpy` is a Python wrapper around the data generated by the [nwslR](https://github.com/nwslR/nwslR) package. The goal of this package is to make the data from `nwslR` available to an even broader audience.

If you see anything you’d like added, changed, or updated, please open up a new issue of your own. If you are interested in contributing, please contact us directly. If you use this data in any work, please cite us.

## Installing the package

Install nwspy using the following command:

```
pip install nwslpy
```

## API

- `load_player_match_stats(match_id)`: Loads player level stats for a given
  match
- `load_player_season_stats(team_id, season)`: Loads player level stats for a
  team/season
- `load_team_match_stats(match_id)`: Loads team level stats for a given match
- `load_team_season_stats(team_id, season)`: Loads team level stats for a team/season
- `load_matches()`: All matches from 2016-present with information and
  match IDs
- `load_players()`: All players rostered from 2016-present with
  information and player IDs
- `load_teams()`: All teams active from 2016-present with information
  and team IDs
- `load_metrics()` All metrics available from scrapers with definitions.
  Not all metrics are available for all players/matches/teams/etc.

## Usage

If you wanted to see the list of matches from 2022, you could try:

```py
import nwslpy

# Load all matches and filter to ones in the year 2022
matches = nwslpy.load_matches()
matches[matches["year"] == 2022]
```

If you wanted to see which players took the most shots in the 2022 NWSL Championship, you could try:

```py
import nwslpy

stats = nwslpy.load_player_match_stats("portland-thorns-fc-vs-kansas-city-current-2022-10-29")
players = nwslpy.load_players()

# Select the columns of interest
stats = stats[["shots_total"]]
# Join with information about the players
stats = stats.join(players)[["shots_total", "player_match_name"]]
# Find the players with the most shots
stats = stats.sort_values("shots_total", ascending=False)
```

For more complicated examples, including how to visualize the data, check out the [examples](examples/) directory.