def find_summary(game_id):
# 0041400161
summary = 'http://stats.nba.com/stats/boxscoresummaryv2?GameID=' \
+ str(game_id)
summary_resp = requests.get(summary)
if summary_resp.status_code >= 400:
print('no such game ' + str(summary_resp.status_code))
return False
try:
home_team_id = summary_resp.json()['resultSets'][0]['rowSet'][0][6]
line_score = summary_resp.json()['resultSets'][5]
line_score['headers'].append('IS_HOME')
is_home = (line_score['rowSet'][0][3] == home_team_id)
line_score['rowSet'][0].append(is_home)
line_score['rowSet'][1].append(not is_home)
# CsvHelper.list2d_to_csv(
# dict_to_list2d(game_summary), 'summary_' + str(game_id)
# )
CsvHelper.list2d_to_csv(
dict_to_list2d(line_score), PATH + 'line_score_' + str(game_id)
)
except (KeyError, IndexError, TypeError, ValueError):
print(summary)
return True
def find_every_player_hot():
stats = find_all_players(1)
l2d = dict_to_list2d(stats)[1:]
i = 0
for l in l2d:
print(i)
names = l[1].lower().split(',')
# assert len(names) == 2
find_hot(names[1].strip() + UNDER + names[0].strip())
i += 1
def find_every_player_hot():
stats = find_all_players(1)
l2d = dict_to_list2d(stats)[1:]
i = 0
for l in l2d:
print(i)
names = l[1].lower().split(',')
# assert len(names) == 2
find_hot(names[1].strip() + UNDER + names[0].strip())
i += 1
def team_profile(team_id, season='2014-15'):
url = 'http://stats.nba.com/stats/teaminfocommon?LeagueID=00&SeasonType=Regular+Season&TeamID=' \
+ str(team_id) + \
'&season=' \
+ str(season)
response = requests.get(url)
if not valid_response(response):
return
stats = response.json()['resultSets'][0]
list2d_to_csv(dict_to_list2d(stats),
PATH + 'team_profile_' + str(team_id) + UNDER + season)
def player_profile(player_id, season=SeasonType.regular):
url = 'http://stats.nba.com/stats/commonplayerinfo?LeagueID=00&PlayerID=' \
+ str(player_id) + \
'&SeasonType=' \
+ season.value
response = requests.get(url)
if not valid_response(response):
return
stats = response.json()['resultSets'][0]
CsvHelper.list2d_to_csv(dict_to_list2d(stats),
'player_profile_' + str(player_id))
def find_detail(season, game_id, detail_type):
# http://stats.nba.com/stats/boxscoreadvancedv2?EndPeriod=10&EndRange=28800&GameID=
# 0020000654
# &RangeType=2&Season=
# 2000-01
# &SeasonType=Regular+Season&StartPeriod=1&StartRange=0
# '2014-15', 0021400160
detail = 'http://stats.nba.com/stats/boxscore' \
+ str(detail_type.name) + \
'v2?EndPeriod=10&EndRange=28800&' \
'GameID=' \
+ str(game_id) + \
'&RangeType=2&Season=' \
+ str(season) + \
'&SeasonType=Regular+Season&StartPeriod=1&StartRange=0'
detail_resp = requests.get(detail)
if detail_resp.status_code >= 400:
print('no such game ' + str(detail_resp.status_code))
return False
try:
player_stats = detail_resp.json()['resultSets'][0]
team_stats = detail_resp.json()['resultSets'][1]
from hw_scrape import CsvHelper
CsvHelper.list2d_to_csv(
dict_to_list2d(player_stats), PATH + 'player_' + str(game_id) + UNDER + str(detail_type.name)
)
CsvHelper.list2d_to_csv(
dict_to_list2d(team_stats), PATH + 'team_' + str(game_id) + UNDER + str(detail_type.name)
)
except (KeyError, IndexError, TypeError):
print(detail)
return True
def player_profile(player_id, season=SeasonType.regular):
url = 'http://stats.nba.com/stats/commonplayerinfo?LeagueID=00&PlayerID=' \
+ str(player_id) + \
'&SeasonType=' \
+ season.value
response = requests.get(url)
if not valid_response(response):
return
stats = response.json()['resultSets'][0]
CsvHelper.list2d_to_csv(
dict_to_list2d(stats), 'player_profile_' + str(player_id)
)
def team_profile(team_id, season='2014-15'):
url = 'http://stats.nba.com/stats/teaminfocommon?LeagueID=00&SeasonType=Regular+Season&TeamID=' \
+ str(team_id) + \
'&season=' \
+ str(season)
response = requests.get(url)
if not valid_response(response):
return
stats = response.json()['resultSets'][0]
list2d_to_csv(
dict_to_list2d(stats), PATH + 'team_profile_' + str(team_id) + UNDER + season
)
def get_overall_pie(season):
stats = find_all_players()
l2d = dict_to_list2d(stats)[1:]
starter = []
bench = []
for l in l2d:
pie = get_pie(l[0], season, ptype=PIEType.overall)
if pie[0] == STARTER:
starter.append(pie[1])
elif pie[0] == BENCH:
bench.append(pie[1])
# list2d_to_csv(starter, 'starter_pie')
# list2d_to_csv(bench, 'bench_pie')
return [starter, bench]
def find_player(player_id, player_data_type, season_type=ParameterType.SeasonType.regular):
url = (
"http://stats.nba.com/stats/playerdashboardbygeneralsplits?DateFrom=&DateTo=&GameSegment=&LastNGames=0&LeagueID=00&Location=&MeasureType="
+ player_data_type.name
+ "&Month=0&OpponentTeamID=0&Outcome=&PaceAdjust=N&PerMode=PerGame&Period=0&PlayerID="
+ str(player_id)
+ "&PlusMinus=N&Rank=N&Season=2014-15&SeasonSegment=&SeasonType="
+ season_type.value
+ "&VsConference=&VsDivision="
)
response = requests.get(url)
if response.status_code > 400:
print("no such player")
return
overall = response.json()["resultSets"][0]
list2d_to_csv(dict_to_list2d(overall), "player_" + str(player_id) + "_" + player_data_type.name)
def find_player(player_id,
player_data_type,
season_type=ParameterType.SeasonType.regular):
url = 'http://stats.nba.com/stats/playerdashboardbygeneralsplits?DateFrom=&DateTo=&GameSegment=&LastNGames=0&LeagueID=00&Location=&MeasureType=' \
+ player_data_type.name + \
'&Month=0&OpponentTeamID=0&Outcome=&PaceAdjust=N&PerMode=PerGame&Period=0&PlayerID=' \
+ str(player_id) + \
'&PlusMinus=N&Rank=N&Season=2014-15&SeasonSegment=&SeasonType=' \
+ season_type.value + \
'&VsConference=&VsDivision='
response = requests.get(url)
if response.status_code > 400:
print('no such player')
return
overall = response.json()['resultSets'][0]
list2d_to_csv(dict_to_list2d(overall),
'player_' + str(player_id) + '_' + player_data_type.name)
def find_every_player():
stats = find_all_players(1)
l2d = dict_to_list2d(stats)[1:]
for l in l2d:
player_profile(l[0])
def find_every_player():
stats = find_all_players(1)
l2d = dict_to_list2d(stats)[1:]
for l in l2d:
find_player(l[0], PlayerType.Base)
def find_every_team(season='2013-14'):
stats = find_all_teams()
l2d = dict_to_list2d(stats)[1:]
for l in l2d:
team_profile(l[0], season)
def find_every_player():
stats = find_all_players(1)
l2d = dict_to_list2d(stats)[1:]
for l in l2d:
player_profile(l[0])
def find_every_team(season='2013-14'):
stats = find_all_teams()
l2d = dict_to_list2d(stats)[1:]
for l in l2d:
team_profile(l[0], season)
def find_every_player():
stats = find_all_players(1)
l2d = dict_to_list2d(stats)[1:]
for l in l2d:
find_player(l[0], PlayerType.Base)
