central teams list

README.md

@@ -8,29 +8,27 @@ This documentation provides the necessary information to use the NBA Stats API.
 
 # [View API Documentation](https://documenter.getpostman.com/view/24232555/2s93shzpR3)
 
-
-
 ---
 
-
 ### Base URL
 
 All URLs referenced in this documentation use the following base URL:
 
-> https://nba-stats-db.herokuapp.com/
+> <https://nba-stats-db.herokuapp.com/>
 
 ### Endpoints
 
 Top 20 Scorers by Season
 Method: `Get`
 
-> https://nba-stats-db.herokuapp.com/api/playerdata/topscorers/total/season/2023/
+> <https://nba-stats-db.herokuapp.com/api/playerdata/topscorers/total/season/2023/>
 
 Success Response:
 
 `Code: 200`
 
 Content:
+
 ```
 {
     "count": 20,
@@ -101,8 +99,8 @@ Content:
             "team": "PHI",
             "season": 2023
         },
-	...
+ ...
-	]
+ ]
 }  
 
 ```
@@ -110,13 +108,14 @@ Content:
 Top 20 Scorers in Playoffs
 Method: `Get`
 
-> https://nba-stats-db.herokuapp.com/api/playerdata/topscorers/playoffs/2022/
+> <https://nba-stats-db.herokuapp.com/api/playerdata/topscorers/playoffs/2022/>
 
 Success Response:
 
 `Code: 200`
 
 Content:
+
 ```
 {
     "count": 20,
@@ -187,8 +186,8 @@ Content:
             "team": "GSW",
             "season": 2022
         },
-	...
+ ...
-	]
+ ]
 }  
 
 ```
@@ -196,13 +195,14 @@ Content:
 Top 20 Assists by Season
 Method: `Get`
 
-> https://nba-stats-db.herokuapp.com/api/top_assists/totals/2023/
+> <https://nba-stats-db.herokuapp.com/api/top_assists/totals/2023/>
 
 Success Response:
 
 `Code: 200`
 
 Content:
+
 ```
 {
     "count": 20,
@@ -273,8 +273,8 @@ Content:
             "team": "DEN",
             "season": 2023
         },
-	...
+ ...
-	]
+ ]
 }  
 
 ```
@@ -282,14 +282,14 @@ Content:
 Top 20 Assists in Playoffs
 Method: `Get`
 
-> https://nba-stats-db.herokuapp.com/api/top_assists/playoffs/2022/
+> <https://nba-stats-db.herokuapp.com/api/top_assists/playoffs/2022/>
-
 
 Success Response:
 
 `Code: 200`
 
 Content:
+
 ```
 {
     "count": 20,
@@ -360,8 +360,8 @@ Content:
             "team": "GSW",
             "season": 2022
         },
-	...
+ ...
-	]
+ ]
 }  
 
 ```
@@ -369,13 +369,14 @@ Content:
 Top 20 Rebounders (Total Rebounds) by Season
 Method: `Get`
 
-> https://nba-stats-db.herokuapp.com/api/top_rebounds/totals/2023/
+> <https://nba-stats-db.herokuapp.com/api/top_rebounds/totals/2023/>
 
 Success Response:
 
 `Code: 200`
 
 Content:
+
 ```
 {
     "count": 20,
@@ -446,8 +447,8 @@ Content:
             "team": "CHI",
             "season": 2023
         },
-	...
+ ...
-	]
+ ]
 }  
 
 ```

USAGE.md

@@ -0,0 +1,5 @@
+# Activate Python Shell
+
+```
+source venv/bin/activate
+```

nba_data/data.py

@@ -0,0 +1 @@
+teams_data = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOK', 'DAL', 'SAS', 'DEN', 'MIN', 'SEA', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']

nba_data/nba_scraper_advanced.py

@@ -6,6 +6,7 @@ from bs4 import BeautifulSoup
 import csv
 import json
 import time
+from data import teams_data
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -27,10 +28,11 @@ from nba_data.models import PlayerAdvancedData
 # Change MEM to VAN for 2001 and prior.
 # Change LAC to SDC for 1984 and prior.
 
-teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'SEA', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+
 season = input('What season? ')
 
-for team in teams:
+for team in teams_data:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)
 

nba_data/nba_scraper_playoffs_advanced.py

@@ -6,6 +6,7 @@ from bs4 import BeautifulSoup
 import csv
 import json
 import time
+from data import teams_data
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -29,13 +30,11 @@ from nba_data.models import PlayerPlayoffAdvancedData
 
 teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
 
-teams2 = ['HOU' ,'PHI', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
-
-team_abbreviations = ['ATL', 'BOS', 'BRK', 'CHI', 'CHO', 'CLE', 'DAL', 'DEN', 'DET', 'GSW', 'HOU', 'IND', 'LAC', 'LAL', 'MEM', 'MIA', 'MIL', 'MIN', 'NOP', 'NYK', 'OKC', 'ORL', 'PHI', 'PHO', 'POR', 'SAC', 'SAS', 'TOR', 'UTA', 'WAS']
-
 season = input('What season? ')
 
-for team in teams:
+teams2 = 'PHI'
+
+for team in teams2:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)
 

nba_data/nba_scraper_playoffs_totals.py

@@ -6,6 +6,7 @@ from bs4 import BeautifulSoup
 import csv
 import json
 import time
+from data import teams_data
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -27,14 +28,11 @@ from nba_data.models import PlayerPlayoffTotalsData
 # Change LAC to SDC for 1984 and prior.
 
 
-teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'SEA', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
-
-
-team_abbreviations = ['ATL', 'BOS', 'BRK', 'CHI', 'CHO', 'CLE', 'DAL', 'DEN', 'DET', 'GSW', 'HOU', 'IND', 'LAC', 'LAL', 'MEM', 'MIA', 'MIL', 'MIN', 'NOP', 'NYK', 'OKC', 'ORL', 'PHI', 'PHO', 'POR', 'SAC', 'SAS', 'TOR', 'UTA', 'WAS']
 
 season = input('What season? ')
 
-for team in teams:
+for team in teams_data:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)
 

nba_data/nba_scraper_shot_chart.py

@@ -12,10 +12,11 @@ django.setup()
 
 from nba_data.models import PlayerShotChartData
 
-player_name = 'James Harden'
+player_name = 'Damian Lillard'
-season = 2010
+season = 2013
-# team = 'LAL'  # You might want to find a way to get this from the webpage
+
-url = 'https://www.basketball-reference.com/players/h/hardeja01/shooting/' + \
+# Player name and season will be inserted into DB. Modify before running script. 
+url = 'https://www.basketball-reference.com/players/l/lillada01/shooting/' + \
     str(season)
 
 response = requests.get(url)

nba_data/nba_scraper_totals.py

@@ -6,6 +6,7 @@ from bs4 import BeautifulSoup
 import csv
 import json
 import time
+from data import teams_data
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -26,14 +27,14 @@ from nba_data.models import PlayerTotalsData
 # Change MEM to VAN for 2001 and prior.
 # Change LAC to SDC for 1984 and prior.
 
-teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'SEA', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
 
 
 # team = input('What team? ') 
 #  OMIT above. Will now only ask for season and iterate thru teams list.
 season = input('What season? ')
 
-for team in teams:
+for team in teams_data:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)