nprasad2077/nbaStats
1
0 Fork 0
mirror of https://github.com/nprasad2077/nbaStats.git synced 2026-11-13 21:33:46 +00:00
Code Issues Packages Projects Releases Wiki Activity

change views for 2014 and 2018

Browse Source
This commit is contained in:
nprasad2077 committed 2023-05-01 22:57:57 -05:00
1 parent 2ec7b206ba
commit 6310077e4f
1 file changed
+30 -18
Download Patch File Download Diff File Expand all files Collapse all files
nba_data/views.py
+30 -18
View File
@@ -347,26 +347,32 @@ class Top20ScorersPost2009WS(APIView):
class Top20ScorersPost2014WS(APIView): class Top20ScorersPost2014WS(APIView):
def get(self, request): 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 \ top_scorers = PlayerPlayoffTotalsData.objects \
.filter(season__gt=2014) \ .filter(season__gt=2014) \
.values('player_name') \ .values('player_name') \
.annotate(total_pts=Sum('PTS')) \ .annotate(total_pts=Sum('PTS')) \
.order_by('-total_pts')[:20] .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 = [] chart_data = []
for scorer in top_scorers: for scorer in top_scorers:
player_name = scorer['player_name'] player_name = scorer['player_name']
total_ws = PlayerPlayoffAdvancedData.objects \ player_season_data = PlayerPlayoffAdvancedData.objects \
.filter(player_name=player_name, season__gt=2014) \ .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({ for data in player_season_data:
'x': scorer['total_pts'], season_value = data['season_value']
'y': total_ws, season_pts = PlayerPlayoffTotalsData.objects \
'player_name': player_name .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 # Sort the data by total_ws DESC
chart_data = sorted(chart_data, key=lambda x: x['y'], reverse=True) chart_data = sorted(chart_data, key=lambda x: x['y'], reverse=True)
@@ -384,26 +390,32 @@ class Top20ScorersPost2014WS(APIView):
class Top20ScorersPost2018WS(APIView): class Top20ScorersPost2018WS(APIView):
def get(self, request): 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 \ top_scorers = PlayerPlayoffTotalsData.objects \
.filter(season__gt=2018) \ .filter(season__gt=2018) \
.values('player_name') \ .values('player_name') \
.annotate(total_pts=Sum('PTS')) \ .annotate(total_pts=Sum('PTS')) \
.order_by('-total_pts')[:20] .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 = [] chart_data = []
for scorer in top_scorers: for scorer in top_scorers:
player_name = scorer['player_name'] player_name = scorer['player_name']
total_ws = PlayerPlayoffAdvancedData.objects \ player_season_data = PlayerPlayoffAdvancedData.objects \
.filter(player_name=player_name, season__gt=2018) \ .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({ for data in player_season_data:
'x': scorer['total_pts'], season_value = data['season_value']
'y': total_ws, season_pts = PlayerPlayoffTotalsData.objects \
'player_name': player_name .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 # Sort the data by total_ws DESC
chart_data = sorted(chart_data, key=lambda x: x['y'], reverse=True) chart_data = sorted(chart_data, key=lambda x: x['y'], reverse=True)