nprasad2077/nbaStats
1
0 Fork 0
mirror of https://github.com/nprasad2077/nbaStats.git synced 2026-11-05 17:45:48 +00:00
Code Issues Packages Projects Releases Wiki Activity

scatter plot select views

Browse Source
This commit is contained in:
nprasad2077 committed 2023-05-02 10:50:09 -05:00
1 parent 47bd481069
commit 6cdd81890a
2 files changed
+97 -2
Download Patch File Download Diff File Expand all files Collapse all files

No files matched your search

nba_data/urls.py
+3 -1
View File
@@ -1,5 +1,5 @@
from django.urls import path
from .views import PlayerDataList, PlayerDataByTeamList, PlayerDataBySeasonList, PlayerDataByNameList, TopScorersbySeasonList, TopScorersbySeasonListPlayoffs, ThreeTwoTopPointTrends, TopAssistsBySeasonList, TopReboundsBySeasonList, TopBlocksBySeasonList, TopStealsBySeasonList, TopOffensiveReboundsBySeasonList, TopDefensiveReboundsBySeasonList, PointsPerGameHistogramBySeasonList, TopPtsScatterPlotData, TopPtsScatterPlotDataFast, TopPtsScatterPlotDataFast2018, Top20ScorersPost2009WS, Top20ScorersPost2014WS, Top20ScorersPost2018WS, TopAssistsBySeasonListPlayoffs
from .views import PlayerDataList, PlayerDataByTeamList, PlayerDataBySeasonList, PlayerDataByNameList, TopScorersbySeasonList, TopScorersbySeasonListPlayoffs, ThreeTwoTopPointTrends, TopAssistsBySeasonList, TopReboundsBySeasonList, TopBlocksBySeasonList, TopStealsBySeasonList, TopOffensiveReboundsBySeasonList, TopDefensiveReboundsBySeasonList, PointsPerGameHistogramBySeasonList, TopPtsScatterPlotData, TopPtsScatterPlotDataFast, TopPtsScatterPlotDataFast2018, Top20ScorersPost2009WS, Top20ScorersPost2014WS, Top20ScorersPost2018WS, TopAssistsBySeasonListPlayoffs, Top25ScorersPostSeasonPlayoffs, TopPtsScatterPlotDataFastSelect
urlpatterns = [
path('api/playerdata/', PlayerDataList.as_view(), name='playerdata_list'),
@@ -23,4 +23,6 @@ urlpatterns = [
path('api/top_20_post_2009_PTS_ws/', Top20ScorersPost2009WS.as_view(), name='top_20_post_2009_PTS_ws'),
path('api/top_20_post_2014_PTS_ws/', Top20ScorersPost2014WS.as_view(), name='top_20_post_2014_PTS_ws'),
path('api/top_20_post_2018_PTS_ws/', Top20ScorersPost2018WS.as_view(), name='top_20_post_2018_PTS_ws'),
path('api/top_25_PTS_ws/playoffs/<int:season>/', Top25ScorersPostSeasonPlayoffs.as_view(), name='top_25_PTS_ws_playoffs'),
path('api/top_25_PTS_ws/season/<int:season>/', TopPtsScatterPlotDataFastSelect.as_view(), name='top_25_PTS_ws_season'),
]
nba_data/views.py
+94 -1
View File
@@ -1,5 +1,5 @@
from django.shortcuts import render
from django.http import JsonResponse
from django.http import JsonResponse, Http404
from django.core import serializers
from .models import PlayerData, PlayerTotalsData, PlayerAdvancedData, PlayerPlayoffTotalsData, PlayerPlayoffAdvancedData
from rest_framework import generics
@@ -297,6 +297,50 @@ class TopPtsScatterPlotDataFast2018(APIView):
})
return Response(result)
class TopPtsScatterPlotDataFastSelect(APIView):
def get(self, request, season):
with connection.cursor() as cursor:
cursor.execute("""
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 >= %s
GROUP BY player_name
ORDER BY total_pts DESC
LIMIT 25) as top_25_players)
AND season >= %s
GROUP BY player_name, season
),
player_season_ws AS (
SELECT player_name, season, SUM("ws") as season_ws
FROM nba_data_playeradvanceddata
WHERE season >= %s
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;
""", (season, season, 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
@@ -430,6 +474,55 @@ class Top20ScorersPost2018WS(APIView):
})
return Response(result)
class Top25ScorersPostSeasonPlayoffs(APIView):
def get(self, request, season):
try:
season = int(season)
except ValueError:
raise Http404("Invalid season format.")
with connection.cursor() as cursor:
cursor.execute("""
WITH player_playoff_pts AS (
SELECT player_name, season, SUM("PTS") as season_pts
FROM nba_data_playerplayofftotalsdata
WHERE player_name IN (SELECT player_name FROM (
SELECT player_name, SUM("PTS") as total_pts
FROM nba_data_playerplayofftotalsdata
WHERE season >= %s
GROUP BY player_name
ORDER BY total_pts DESC
LIMIT 25) as top_25_players)
AND season >= %s
GROUP BY player_name, season
),
player_playoff_ws AS (
SELECT player_name, season, SUM("ws") as season_ws
FROM nba_data_playerplayoffadvanceddata
WHERE season >= %s
GROUP BY player_name, season
)
SELECT player_playoff_pts.player_name, player_playoff_pts.season, player_playoff_pts.season_pts, player_playoff_ws.season_ws
FROM player_playoff_pts
JOIN player_playoff_ws
ON player_playoff_pts.player_name = player_playoff_ws.player_name AND player_playoff_pts.season = player_playoff_ws.season
ORDER BY player_playoff_pts.player_name, player_playoff_pts.season;
""", (season, season, 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)
class TopScorersbySeasonListPlayoffs(generics.ListAPIView):