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modify 2009 route to return proper data

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nprasad2077 committed 2023-05-01 22:53:09 -05:00
1 parent 6995af94b2
commit 2ec7b206ba
2 files changed
+62 -10
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nba_data/views.py
+60 -9
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@@ -253,31 +253,82 @@ class TopPtsScatterPlotDataFast(APIView):
return Response(result)
class TopPtsScatterPlotDataFast2018(APIView):
def get(self, request):
with connection.cursor() as cursor:
cursor.execute("""
-- The modified query from earlier
WITH player_season_pts AS (
SELECT player_name, season, SUM("PTS") as season_pts
FROM nba_data_playertotalsdata
WHERE player_name IN (SELECT player_name FROM (
SELECT player_name, SUM("PTS") as total_pts
FROM nba_data_playertotalsdata
WHERE season >= 2018
GROUP BY player_name
ORDER BY total_pts DESC
LIMIT 25) as top_25_players)
AND season >= 2018
GROUP BY player_name, season
),
player_season_ws AS (
SELECT player_name, season, SUM("ws") as season_ws
FROM nba_data_playeradvanceddata
WHERE season >= 2018
GROUP BY player_name, season
)
SELECT player_season_pts.player_name, player_season_pts.season, player_season_pts.season_pts, player_season_ws.season_ws
FROM player_season_pts
JOIN player_season_ws
ON player_season_pts.player_name = player_season_ws.player_name AND player_season_pts.season = player_season_ws.season
ORDER BY player_season_pts.player_name, player_season_pts.season;
""")
rows = cursor.fetchall()
result = []
for row in rows:
player_name, season, season_pts, season_ws = row
result.append({
'player_name': player_name,
'season': season,
'season_pts': season_pts,
'season_ws': season_ws
})
return Response(result)
# Top 20 players in playoffs by PTS X ws for scatter plot in chart.js
class Top20ScorersPost2009WS(APIView):
def get(self, request):
# Get the top 20 scorers after the 2015 season
# Get the top 20 scorers after the 2009 season
top_scorers = PlayerPlayoffTotalsData.objects \
.filter(season__gt=2009) \
.values('player_name') \
.annotate(total_pts=Sum('PTS')) \
.order_by('-total_pts')[:20]
# Get the total WS for each of the top 20 scorers after the 2015 season
# Get the total WS for each of the top 20 scorers after the 2009 season
chart_data = []
for scorer in top_scorers:
player_name = scorer['player_name']
total_ws = PlayerPlayoffAdvancedData.objects \
player_season_data = PlayerPlayoffAdvancedData.objects \
.filter(player_name=player_name, season__gt=2009) \
.aggregate(total_ws=Sum('ws'))['total_ws']
.annotate(season_value=F('season')) \
.values('season_value', 'ws')
chart_data.append({
'x': scorer['total_pts'],
'y': total_ws,
'player_name': player_name
})
for data in player_season_data:
season_value = data['season_value']
season_pts = PlayerPlayoffTotalsData.objects \
.get(player_name=player_name, season=season_value).PTS
chart_data.append({
'x': season_pts,
'y': data['ws'],
'player_name': player_name,
'season': data['season_value']
})
# Sort the data by total_ws DESC
chart_data = sorted(chart_data, key=lambda x: x['y'], reverse=True)