├── README.md
└── main.py


/README.md:
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 1 | # NBA Stats Project Python
 2 | 
 3 | This script retrieves NBA stats and data from the NBA API and displays them in the terminal.
 4 | 
 5 | ## Requirements
 6 | 
 7 | - Python 3.x
 8 | - `requests` module (`pip install requests`)
 9 | 
10 | ## Usage
11 | 
12 | 1. Clone the repository
13 | 2. Navigate to the project directory
14 | 3. Run the script using `python main.py`
15 | 4. The console will display team stats sorted by points per game.
16 | 
17 | ## Code Explanation
18 | - `get_links()` function retrieves links to data from the NBA API
19 | - `get_scoreboard()` function retrieves current scores and game information and prints them to the console
20 | - `get_stats()` function retrieves team stats and prints them to the console, sorted by points per game
21 | - The script uses the `requests` module to make HTTP requests to the NBA API and the `pprint` module to format the output.
22 | 
23 | ## Notes
24 | 
25 | The NBA API is subject to change, which may cause this script to fail or produce unexpected output.
26 | 


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/main.py:
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 1 | from requests import get
 2 | from pprint import PrettyPrinter
 3 | 
 4 | BASE_URL = "https://data.nba.net"
 5 | ALL_JSON = "/prod/v1/today.json"
 6 | 
 7 | printer = PrettyPrinter()
 8 | 
 9 | 
10 | def get_links():
11 |     data = get(BASE_URL + ALL_JSON).json()
12 |     links = data['links']
13 |     return links
14 | 
15 | 
16 | def get_scoreboard():
17 |     scoreboard = get_links()['currentScoreboard']
18 |     games = get(BASE_URL + scoreboard).json()['games']
19 | 
20 |     for game in games:
21 |         home_team = game['hTeam']
22 |         away_team = game['vTeam']
23 |         clock = game['clock']
24 |         period = game['period']
25 | 
26 |         print("------------------------------------------")
27 |         print(f"{home_team['triCode']} vs {away_team['triCode']}")
28 |         print(f"{home_team['score']} - {away_team['score']}")
29 |         print(f"{clock} - {period['current']}")
30 | 
31 | 
32 | def get_stats():
33 |     stats = get_links()['leagueTeamStatsLeaders']
34 |     teams = get(
35 |         BASE_URL + stats).json()['league']['standard']['regularSeason']['teams']
36 | 
37 |     teams = list(filter(lambda x: x['name'] != "Team", teams))
38 |     teams.sort(key=lambda x: int(x['ppg']['rank']))
39 | 
40 |     for i, team in enumerate(teams):
41 |         name = team['name']
42 |         nickname = team['nickname']
43 |         ppg = team['ppg']['avg']
44 |         print(f"{i + 1}. {name} - {nickname} - {ppg}")
45 | 
46 | 
47 | get_stats()


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