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change views for 2014 and 2018

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nprasad2077 committed 2023-05-01 22:57:57 -05:00
1 parent 2ec7b206ba
commit 6310077e4f
1 file changed
+30 -18
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nba_data/views.py
+30 -18
View File
@@ -347,26 +347,32 @@ class Top20ScorersPost2009WS(APIView):
class Top20ScorersPost2014WS(APIView):
def get(self, request):
# Get the top 20 scorers after the 2015 season
# Get the top 20 scorers after the 2014 season
top_scorers = PlayerPlayoffTotalsData.objects \
.filter(season__gt=2014) \
.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 2014 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=2014) \
.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)
@@ -384,26 +390,32 @@ class Top20ScorersPost2014WS(APIView):
class Top20ScorersPost2018WS(APIView):
def get(self, request):
# Get the top 20 scorers after the 2015 season
# Get the top 20 scorers after the 2018 season
top_scorers = PlayerPlayoffTotalsData.objects \
.filter(season__gt=2018) \
.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 2018 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=2018) \
.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)