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totals scraped to 2010
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@@ -15,8 +15,19 @@ django.setup()
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from nba_data.models import PlayerTotalsData
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teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'BRK', 'TOR', 'MEM', 'NOP', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHO']
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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']
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# Change CHO to CHA 2014 and prior.
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# Change NOP to NOH for 2013 and prior.
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# Change OKC to SEA for 2008 and prior.
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# Change NOH to NOK for 2007 and 2006
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# Change NOK to NOH for 2005 and prior.
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# Change NOH to CHH for 2002 and prior. NOLA did not have a team before 2003.
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# Change WAS to WSB for 1997 and prior.
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# Change BRK to NJN for 2012 and prior.
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# Change MEM to VAN for 2001 and prior.
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# Change LAC to SDC for 1984 and prior.
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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']
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# team = input('What team? ')
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# OMIT above. Will now only ask for season and iterate thru teams list.
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