# iterate over games and parse play-by-play
print('parsing play-by-play data...')
for game in gamedict.keys():
print('on game', game)
# get teams
home, away = game[-3:], game[-6:-3]
teams = [home, away]
# get players on those teams
active = [p for p in pstats.keys() if pstats[p].team() in teams]
# initialize new game for those players
for p in active:
pstats[p]._newgame(game)
# parse game
data = pbp[gamedict[game][0]:gamedict[game][1]]
pstats, score = PPBP.processgame(data, pstats, teams, active)
# get players from game that actually played
played_game = [p for p in active if pstats[p].playedgame()]
# get total game stats from players involved
gstats[game] = NBAP.game(game, pstats, score, players)
update(game, pstats, active, score)
# flush game stats for players involved
for p in active:
pstats[p]._flushgame()
# write out data parsed from pbp
print("writing out game stats...")
import NBA_playerclass as NBAP
'''
Assume that each play-by-play file has an associated "players" file that
provides the list of active players and their ESPN IDs, and an associated
player-stats file with data for each game that allows starters to be
assessed;
'''
datadirectory = os.path.join(chdir,'DataFiles')
playbyplayfile = os.path.join(datadirectory, playbyplayname)
playerstotfile = os.path.join(datadirectory, playerstotname)
playesstatfile = os.path.join(datadirectory, playesstatname)
gstats = list()
pstats = LAS.createplayers(playerstotfile)
gamedict, pbp = LAS.getpbp(playbyplayfile, ['times', 'actions'])
print('parsing play-by-play data...')
for game in gamedict.keys():
print('on game', game)
teams = [game[-3:], game[-6:-3]] # [home, away]
curplayers = [p for p in pstats.keys() if pstats[p].team() in teams]
curgame = pbp[gamedict[game][0]:gamedict[game][1]]
for p in curplayers: pstats[p]._newgame(game)
pstats, score = PPBP.processgame(curgame, pstats, teams, curplayers)
played_game = [p for p in curplayers if pstats[p].playedgame()]
for p in active: pstats[p]._flushgame()
return gstats, pstats
print('Done with current file')
'''
Assume that each play-by-play file has an associated "players" file that
provides the list of active players and their ESPN IDs, and an associated
player-stats file with data for each game that allows starters to be
assessed;
'''
datadirectory = os.path.join(chdir, 'DataFiles')
playbyplayfile = os.path.join(datadirectory, playbyplayname)
playerstotfile = os.path.join(datadirectory, playerstotname)
playesstatfile = os.path.join(datadirectory, playesstatname)
gstats = list()
pstats = LAS.createplayers(playerstotfile)
gamedict, pbp = LAS.getpbp(playbyplayfile, ['times', 'actions'])
print('parsing play-by-play data...')
for game in gamedict.keys():
print('on game', game)
teams = [game[-3:], game[-6:-3]] # [home, away]
curplayers = [p for p in pstats.keys() if pstats[p].team() in teams]
curgame = pbp[gamedict[game][0]:gamedict[game][1]]
for p in curplayers:
pstats[p]._newgame(game)
pstats, score = PPBP.processgame(curgame, pstats, teams, curplayers)
played_game = [p for p in curplayers if pstats[p].playedgame()]
for p in active:
pstats[p]._flushgame()
return gstats, pstats
print('Done with current file')
# load play-by-play and find game indicies; pbp is times and actions
gamedict, pbp = LAS.getpbp(fhandlepbp, ['times', 'actions'])
# iterate over games and parse play-by-play
print('parsing play-by-play data...')
for game in gamedict.keys():
# get teams
home, away = game[-3:], game[-6:-3]
teams = [home, away]
# get players on those teams
active = [p for p in pstats.keys() if pstats[p].team() in teams]
# initialize new game for those players
for p in active:
pstats[p]._newgame(game)
# parse game
data = pbp[gamedict[game][0]:gamedict[game][1]]
pstats, score = NBA1.processgame(data, pstats, teams, active)
# get total game stats from players involved
gstats.update(game, pstats, active, score)
# flush game stats for player involved
for p in active:
pstats[p]._flushgame()
# write out data parsed from pbp
print("writing out game stats...")
gamestats = gstats.getgames()
with open(os.path.join(chdir ,'DataFiles', gstats._pbpfile + \
"GameStats.txt"), 'w') as f1:
for game in gamestats.keys():
if game != 'statlist':
home, away = gamestats[game]['home'], gamestats[game]['away']
