dict_abbrevs['Carolina'] = 'CAR'
dict_abbrevs['St. Louis'] = 'STL'
dict_abbrevs['NY Rangers'] = 'NYR'
dict_abbrevs['New Jersey'] = 'N.J'
dict_abbrevs['Dallas'] = 'DAL'
dict_abbrevs['Florida'] = 'FLA'
dict_abbrevs['Nashville'] = 'NSH'
dict_abbrevs['Edmonton'] = 'EDM'
dict_abbrevs['Anaheim'] = 'ANA'
dict_abbrevs['Colorado'] = 'COL'
dict_abbrevs['Winnipeg'] = 'WPG'
dict_abbrevs['Columbus'] = 'COL'
dict_abbrevs['Arizona'] = 'PHX'
dict_abbrevs['NY Islanders'] = 'NYI'
common_logger = get_logger(name="common_logger",
debug_log_file_name="common_logger.log")
print("Debug will be written in {}".format(
common_logger.handlers[1].baseFilename))
coaches_evaluator = Coach_Evaluator(common_logger)
# coaches_evaluator.evaluate_all_coaches(season_year_begin = 2012, teams_opt=None, n_games=2) # 10) # ['PHX'])
grades = coaches_evaluator.read_and_display_coaches_evals()
df = pd.DataFrame.from_csv(
"/Users/luisd/Downloads/NHLAttendance2012-2013.csv")
# add column with abbreviation
def name2abbrev(name: str) -> str:
a = name.split(" ")
if len(a) > 2:
key = ' '.join(a[:-1])
db_root = Config().data_dir #This is the location of the Hockey database
# db_root = '/Users/younes_zerouali/Documents/Stradigi/Databases/Hockey'
# db_root = '/Users/luisd/dev/NHL_stats/data'
repoPbP = path.join(db_root, 'PlayByPlay')
repoPSt = path.join(db_root, 'PlayerStats/player')
repoModel = path.join(
repoCode,
'ReinforcementLearning/NHL/playerstats/offVSdef/Automatic_classification/MODEL_backup_trainedonallseasons_rankstatprediction'
)
repoModel = path.join(
repoCode,
'ReinforcementLearning/NHL/playerstats/offVSdef/Automatic_classification/MODEL_perceptron_1layer_10units_relu'
)
repoSave = None #path.join(repoCode, 'ReinforcementLearning/NHL/playbyplay/data')
a_logger = get_logger(name="a_logger", debug_log_file_name="/tmp/a_logger.log")
print("Debug will be written in {}".format(a_logger.handlers[1].baseFilename))
# =======================
# ==== RETRIEVE INFOS
seasons = ut_find_folders(repoPbP)
# Prep containers
gmInfo = pd.DataFrame(columns=['allE', 'filtE'])
# Loop on seasons
print('Launching analysis\n')
for iS in seasons:
print('\tAnalysing season %s (%i/%i): ' %
(iS, seasons.index(iS) + 1, len(seasons)))
from Utils.base import get_logger
global_logger = get_logger(name="global_logger",
debug_log_file_name="/tmp/global_logger.log")