def get_player_stats(player_id):
p = nba.Player(player_id)
stats = p.get_stats()
regular_season = stats["regularSeason"]
post_season = stats["postSeason"]
return jsonify({
"regularSeason": regular_season,
"postSeason": post_season
})
def get_player(player_id): # 201935 --> James Harden
p = nba.Player(player_id)
common_info, available_seasons, headline_stats = p.get_common_info()
awards = p.get_awards()
return jsonify({
"commonInfo": common_info,
"availableSeasons": available_seasons,
"headlineStats": headline_stats[0],
"awards": awards
})
def process_stats(choice):
if choice == 1:
#print conference stats here
conf = input("Enter conference name: (East/West)")
scrape_conference(conf)
elif choice == 2:
#print team stats here
team = input("Enter team name: ")
url = build_team_url(team)
scrape_team(url, team)
elif choice == 3:
#print player stats here
player = input("Enter player name: (first name) (last name)")
first, last = player.split()
url = build_player_url(first, last)
list_of_stats = scrape_player(url, team)
player = n.Player(list_of_stats)
player.display()
elif choice == 4:
pass
def process_csv_creation(choice):
if choice == 1:
#create csv file for conference
conf = input("Enter conference name: (East/West)")
myConf = n.Conference(conf, s.scrape_conference(conf))
myConf.create_conf_csv()
elif choice == 2:
#create csv file for team
team = input("Enter team name: ")
url = build_team_url(team)
myTeam = n.Team(team, s.scrape_team(url))
myTeam.create_team_csv()
elif choice == 3:
#create csv file for player
player = input("Enter player name: (first name) (last name) and year (2016-17)")
first,last,year = player.split()
url = build_player_url(first, last)
myPlayer = n.Player(first + last,s.scrape_player(url,year))
myPlayer.create_player_csv()
elif choice == 4:
pass
def process_csv_creation(choice):
if choice == 1:
#create csv file for conference
conf = input("Enter conference name: (East/West)")
myConf = n.Conference(conf, scrape_conference(conf))
elif choice == 2:
#create csv file for team
team = input("Enter team name: ")
url = build_team_url(team)
myTeam = n.Team(team, scrape_team(url, team))
myTeam.create_team_csv(team)
elif choice == 3:
#create csv file for player
player = input("Enter player's full name: ")
team = input("Enter team name: ")
url = build_team_url(team)
url = build_player_url(player, team)
myPlayer = n.Player(scrape_player(url, team))
myPlayer.create_player_csv()
elif choice == 4:
pass
def process_stats(choice):
if choice == 1:
#print conference stats here
conf = input("Enter conference name: (East/West)")
new_conf = n.Conference(conf, s.scrape_conference(conf))
new_conf.display()
elif choice == 2:
#print team stats here
team = input("Enter team name: ")
url = build_team_url(team)
if url:
new_team = n.Team(team,s.scrape_team(url))
new_team.display()
elif choice == 3:
#print player stats here
player = input("Enter player name: (first name) (last name) and year (2016-17)")
first,last,year = player.split()
url = build_player_url(first, last)
list_of_stats = s.scrape_player(url,year)
player = n.Player(first + last,list_of_stats)
player.display()
elif choice == 4:
pass
def graphStats(n_clicks, children, stat_list, selection, permode):
if n_clicks is None:
raise PreventUpdate
else:
ids = []
start_dates = []
end_dates = []
dic = ''
if (selection == 'team'):
i = 1
dic = team_stats
while i < len(children):
if "value" in children[i]['props'].keys(
) and "value" in children[i + 2]['props'].keys(
) and "value" in children[i + 4]['props'].keys():
ids.append(nba.Team(children[i]['props']['value'],
permode))
start_dates.append(children[i + 2]['props']['value'])
end_dates.append(children[i + 4]['props']['value'])
i += 6
else:
i = 1
dic = player_stats
while i < len(children):
if "value" in children[i]['props'].keys(
) and "value" in children[i + 2]['props'].keys(
) and "value" in children[i + 4]['props'].keys():
ids.append(
nba.Player(children[i]['props']['value'], permode))
start_dates.append(children[i + 2]['props']['value'])
end_dates.append(children[i + 4]['props']['value'])
i += 6
same_dates = True
for i in range(len(start_dates)):
if (len(start_dates) != len(end_dates)
or start_dates[i] != start_dates[i - 1]
or end_dates[i] != end_dates[i - 1]):
same_dates = False
break
graphs = []
for j in stat_list:
traces = []
for i in range(len(ids)):
df = ids[i].get_stats(j, str(start_dates[i]),
str(end_dates[i]))
if same_dates == False:
traces.append(
dict(x=(str(df.index)),
y=df,
name=ids[i].name,
text=df.index))
typ = ''
else:
traces.append(dict(x=df.index, y=df, name=ids[i].name))
typ = 'category'
graphs.append(
dcc.Graph(
figure={
'data':
traces,
'layout':
dict(xaxis={
'title': 'Range',
'type': typ
},
yaxis={'title': dic[j]},
title=dic[j],
showlegend=True)
}))
return html.Div(graphs)
def get_player_game_log(player_id, season, season_type):
p = nba.Player(player_id)
games = p.get_game_log(season, season_type)
return jsonify(games)