nfl-stadiums 1.0.1

A simple python package that provides easy access to NFL stadium data

NFLTeamStadiums

A simple python package that provides easy access to NFL stadium data such as capacity, location, and weather.

This package utilizes the Wikipedia API to retrieve NFL stadium data, Open-Meteo.com for weather information, and provides methods for easy access to the same. Stadium data is fairly static, so by default, this class will save the data retrieved from Wikipedia locally for subsequent uses for quicker access and less load on Wikipedia. See the below documentation for details on basic usage.

Installation and Basic Usage

1. Clone or download the repository
2. Import the class in your code
3. Instantiate the class

pip install nfl-stadiums

from nfl_stadiums import NFLStadiums

# Default instantiation will use local cache if available and print to console
nfl_stadiums = NFLStadiums()

# Set verbose=false to stop printing to console and use_cache=false to retrieve data from wikipedia and overwrite cache
nfl_stadiums = NFLStadiums(use_cache=False, verbose=False)

Methods

get_stadium_by_team

nfl_stadiums.get_stadium_by_team("lions")

get_stadium_by_name

nfl_stadiums.get_stadium_by_team("ford field")

results

{
    "name": "Ford Field",
    "capacity": 65000,
    "imgUrl": "https://en.wikipedia.org/wiki/File:Packers_at_Lions_Dec_2020_(50715608723).jpg",
    "city": "Detroit, Michigan",
    "surface": "FieldTurf CORE",
    "roofType": "Fixed",
    "teams": [
        "Detroit Lions"
    ],
    "yearOpened": 2002,
    "sharedStadium": false,
    "currentTeams": [
        "DET"
    ],
    "coordinates": {
        "lat": 42.34,
        "lon": -83.04555556,
        "primary": "",
        "globe": "earth"
    }
}

calculate_distance_between_stadiums

distance_in_miles = nfl_stadiums.calculate_distance_between_stadiums('lions', 'chiefs')

get_weather_forecast_for_stadium

# To get the full day
ford_field_weather = nfl_stadiums.get_weather_forecast_for_stadium('lions', '2024-05-30')

# Fine tune with additional parameters, for example, for just gametime
ford_field_weather = nfl_stadiums.get_weather_forecast_for_stadium('lions', '2024-05-30', hour_start=12, hour_end=15, 
                                                                   day_format="%Y-%m-%d",
                                                                   timezone='America/New_York')

results

{
    "latitude": 42.351395, 
    "longitude": -83.06134, 
    "generationtime_ms": 0.10704994201660156, 
    "utc_offset_seconds": -14400, 
    "timezone": "America/New_York", 
    "timezone_abbreviation": "EDT", 
    "elevation": 188.0, 
    "hourly_units": 
        {
            "time": "iso8601", "temperature_2m": "°F", "apparent_temperature": "°F", "precipitation_probability": "%", "precipitation": "inch", "rain": "inch", "showers": "inch", 
            "snowfall": "inch", "snow_depth": "ft", "wind_speed_10m": "mp/h", "wind_speed_80m": "mp/h", "wind_direction_10m": "°"
        }, 
    "hourly": 
        {
            "time": ["2024-05-30T00:00", "2024-05-30T01:00", "2024-05-30T02:00", "2024-05-30T03:00", "2024-05-30T04:00", "2024-05-30T05:00", "2024-05-30T06:00", 
                     "2024-05-30T07:00", "2024-05-30T08:00", "2024-05-30T09:00", "2024-05-30T10:00", "2024-05-30T11:00", "2024-05-30T12:00", "2024-05-30T13:00", 
                     "2024-05-30T14:00", "2024-05-30T15:00", "2024-05-30T16:00", "2024-05-30T17:00", "2024-05-30T18:00", "2024-05-30T19:00", "2024-05-30T20:00", 
                     "2024-05-30T21:00", "2024-05-30T22:00", "2024-05-30T23:00"], 
            "temperature_2m": [50.0, 48.6, 47.3, 46.4, 44.6, 44.4, 43.6, 46.0, 52.3, 57.9, 62.4, 65.8, 67.4, 69.3, 70.6, 72.5, 72.0, 71.1, 70.8, 67.0, 65.3, 61.5, 58.5, 56.0], 
            "apparent_temperature": [44.8, 43.4, 43.0, 42.2, 40.4, 39.7, 40.1, 43.6, 49.1, 53.8, 58.1, 62.2, 65.1, 66.5, 68.5, 69.5, 67.8, 67.2, 65.1, 60.8, 59.9, 57.1, 54.2, 52.0], 
            "precipitation_probability": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 
            "precipitation": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 
            "rain": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 
            "showers": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 
            "snowfall": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 
            "snow_depth": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 
            "wind_speed_10m": [4.4, 3.5, 2.2, 1.8, 2.0, 3.5, 1.6, 0.2, 2.3, 4.0, 5.2, 6.7, 7.5, 9.0, 7.8, 9.0, 8.3, 6.3, 5.7, 9.0, 6.5, 4.8, 4.8, 4.8], 
            "wind_speed_80m": [13.5, 11.1, 10.3, 7.9, 6.5, 5.5, 6.2, 7.1, 6.1, 5.5, 7.3, 9.7, 9.4, 11.0, 9.9, 11.1, 9.0, 7.6, 6.8, 11.5, 8.6, 10.5, 11.0, 11.7], 
            "wind_direction_10m": [15, 18, 323, 284, 270, 255, 286, 360, 343, 326, 350, 354, 17, 23, 357, 347, 346, 358, 21, 71, 63, 49, 37, 37]
        }
}

get_stadium_coordinates_by_team

self.get_stadium_by_team('jaguars')

get_stadium_coordinates_by_name

self.get_stadium_by_name('arrowhead stadium')

results

{'globe': 'earth', 
 'lat': 30.32388889, 
 'lon': -81.6375, 
 'primary': ''
 }

get_list_of_stadium_names

nfl_stadiums.get_list_of_stadium_names()

results

['Acrisure Stadium', 'Allegiant Stadium', 'Arrowhead Stadium', 'AT&T Stadium', 'Bank of America Stadium' ...]

Data Source

This package utilizes data from Wikipedia. The core page is here.

This package utilizes the Open_Meteo.com API found here.

You are responsible for how you access and use the data.

Wikipedia content is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License. For more details on the terms of use, please refer to the Wikimedia Foundation's Terms of Use.

See Open-Meteo's terms of use here.

License

This project is licensed under the MIT License. See the LICENSE file for details.