def specific_shot_stats(shot_type='Jump Shot', players=['Felton'],
team='NYK', s_date='10000101', f_date='21001231',
path='D:\Gal\Work\Results'):
''' '''
actions_per_game = tf.relevant_actions(team, path,
s_date=s_date, f_date=f_date)
res = []
for actions in actions_per_game:
this_game = [0, 0]
for a in actions:
for p in players:
if a.player == p and type(a) is c.Shot:
if shot_type == a.kind:
this_game[0] += 1
if a.made:
this_game[1] += 1
res.append(this_game)
return res
def shooting_stats_over_games(players=['Felton'], team='NYK',
s_date='10000101', f_date='21001231',
path='D:\Gal\Work\Results'):
'''The function of dates nedd to added '''
actions_per_game = tf.relevant_actions(team, path,
s_date=s_date, f_date=f_date)
dic = {}
for actions in actions_per_game:
for a in actions:
for p in players:
if a.player == p and type(a) is c.Shot:
shot_kind = a.kind
if not dic.has_key(shot_kind):
dic[shot_kind] = [0, 0]
dic[shot_kind][0] += 1
if a.made:
dic[a.kind][1] += 1
return dic
def time_raster(player, team='SAS', s_date='10000101', f_date='21001231',
path='D:\Gal\Work\Results'):
'''
plots a made time raster.
Y axis is the number of the game.
X axis is the minute in the game.
'''
actions_per_game = tf.relevant_actions(team, path,
s_date=s_date, f_date=f_date)
time_list, played_games = [], []
i = 0
for actions in actions_per_game:
i += 1
toc = time_on_court(player, actions)
# print g, toc # DEBUG
if len(toc) != 0:
for t in toc:
time_list += tf.break_it(t)
played_games.append(i)
return time_list, played_games
def actions_raster(players=['Duncan'], team='SAS',
s_date='10000101', f_date='21001231',
path='D:\Gal\Work\Results', action=c.Shot):
'''
creates an actions raster.
Y axis is the number of the game.
X axis is the minute in the game.
'''
actions_per_game = tf.relevant_actions(team, path,
s_date=s_date, f_date=f_date)
final_actions, played_games = [], []
i = 0
for actions in actions_per_game:
i += 1
for a in actions:
for p in players:
if a.player == p and type(a) is action:
final_actions.append(a.time)
played_games.append(i)
return final_actions, played_games
def shooting_other(shooting_player='Parker', over_player='Duncan', team='SAS',
s_date='10000101', f_date='21001231',
path='D:\Gal\Work\Results'):
'''
This function calculates the shots of spesific player
when other player is on the court
'''
actions_per_game = tf.relevant_actions(team, path,
s_date=s_date, f_date=f_date)
dic = {}
for actions in actions_per_game:
for a in actions:
if a.player == shooting_player and type(a) is c.Shot and action_when_on_court(a, over_player, actions):
shot_kind = a.kind
if not dic.has_key(shot_kind):
dic[shot_kind] = [0, 0]
dic[shot_kind][0] += 1
if a.made:
dic[a.kind][1] += 1
return dic
def shots_made_raster(players=['Duncan'], team='SAS',
s_date='10000101', f_date='21001231',
path='D:\Gal\Work\Results'):
'''
plots a made shots raster.
Y axis is the number of the game.
X axis is the minute in the game
'''
actions_per_game = tf.relevant_actions(team, path,
s_date=s_date, f_date=f_date)
shots, played_games = [], []
i = 0
for actions in actions_per_game:
i += 1
for a in actions:
for p in players:
if a.player == p and type(a) is c.Shot:
if a.made:
shots.append(a.time)
played_games.append(i)
return shots, played_games
