def retrieve_data():
y_val = 'pts_scored'
y_data = pull_data.pull_pts('offensive', update_dbs.mysql_client())
def_data = pull_data.pull_model_features(y_val, 'defensive_stats',
update_dbs.mongodb_client)
def_data = hfa_patch(def_data, update_dbs.mysql_client())
off_data = pull_data.pull_model_features(y_val, 'offensive_stats',
update_dbs.mongodb_client)
off_feats = [i for i in list(off_data) if i not in list(def_data)]
off_data = off_data[off_feats]
off_data = hfa_patch(off_data, update_dbs.mysql_client())
poss_data = pull_data.pull_model_features(y_val, 'possessions',
update_dbs.mongodb_client)
poss_data = hfa_patch(poss_data, update_dbs.mysql_client())
tar_data = pull_data.pull_model_features(y_val, 'target',
update_dbs.mongodb_client)
tar_data = hfa_patch(tar_data, update_dbs.mysql_client())
x_data = def_data.join(off_data, how='inner')
x_data = x_data.join(poss_data, how='inner')
x_data = x_data.join(tar_data, how='inner')
train_index = pull_data.pull_train_index(update_dbs.mysql_client())
x_data = x_data.loc[x_data.index.isin(train_index)]
x_data = x_data.join(y_data, how='inner')[list(x_data)]
def_data = None
off_data = None
poss_data = None
tar_data = None
data = x_data.join(y_data, how='inner')
data = data.reset_index()
Y = data['pts']
x_feats = [
'expected_pts_pg_for', '75_g_HAspread_for_floor-percentage',
'pregame_pts_pg_for', 'expected_poss_pg_for', 'expected_ppp_for',
'50_game_avg_15_g_HAweight_allow_assist--per--turnover-ratio',
'75_g_HAspread_allow_points-per-game',
'100_g_HAspread_allow_block-pct', 'pregame_poss_pg_for',
'10_game_avg_30_g_HAweight_allow_personal-foul-pct',
'expected_turnovers-per-possession_for',
'expected_offensive-rebounding-pct_for',
'30_g_HAspread_for_floor-percentage',
'expected_ftm-per-100-possessions_for',
'expected_effective-field-goal-pct_for',
'pregame_effective-field-goal-pct_for',
'100_g_HAspread_allow_assist--per--turnover-ratio',
'30_g_HAspread_allow_floor-percentage',
'10_game_avg_30_g_HAweight_allow_two-point-rate',
'5_game_avg_50_g_HAweight_for_points-per-game`/`possessions-per-game',
'10_game_avg_50_g_Tweight_for_effective-field-goal-pct',
'30_game_avg_5_g_Tweight_for_points-per-game`/`possessions-per-game'
]
X = data[x_feats]
return X, Y
def raw_data():
def_data = pull_data.pull_model_features('pts_scored', 'defensive_stats',
update_dbs.mongodb_client)
def_data = hfa_patch(def_data, update_dbs.mysql_client())
off_data = pull_data.pull_model_features('pts_scored', 'offensive_stats',
update_dbs.mongodb_client)
off_feats = [i for i in list(off_data) if i not in list(def_data)]
off_data = off_data[off_feats]
off_data = hfa_patch(off_data, update_dbs.mysql_client())
poss_data = pull_data.pull_model_features('pts_scored', 'possessions',
update_dbs.mongodb_client)
poss_data = hfa_patch(poss_data, update_dbs.mysql_client())
tar_data = pull_data.pull_model_features('pts_scored', 'target',
update_dbs.mongodb_client)
tar_data = hfa_patch(tar_data, update_dbs.mysql_client())
x_data = def_data.join(off_data, how='inner')
x_data = x_data.join(poss_data, how='inner')
x_data = x_data.join(tar_data, how='inner')
x_data = x_data.loc[x_data.index.isin(validation_index)]
y_data = pull_data.pull_pts('offensive', update_dbs.mysql_client())
team_data = x_data.join(y_data, how='inner')[list(x_data)]
def_data = None
off_data = None
poss_data = None
tar_data = None
def_data = pull_data.pull_model_features('pts_allowed', 'defensive_stats',
update_dbs.mongodb_client)
def_data = hfa_patch(def_data, update_dbs.mysql_client())
off_data = pull_data.pull_model_features('pts_allowed', 'offensive_stats',
update_dbs.mongodb_client)
off_feats = [i for i in list(off_data) if i not in list(def_data)]
off_data = off_data[off_feats]
off_data = hfa_patch(off_data, update_dbs.mysql_client())
poss_data = pull_data.pull_model_features('pts_allowed', 'possessions',
update_dbs.mongodb_client)
poss_data = hfa_patch(poss_data, update_dbs.mysql_client())
tar_data = pull_data.pull_model_features('pts_allowed', 'target',
update_dbs.mongodb_client)
tar_data = hfa_patch(tar_data, update_dbs.mysql_client())
x_data = def_data.join(off_data, how='inner')
x_data = x_data.join(poss_data, how='inner')
opponent_data = x_data.join(tar_data, how='inner')
def_data = None
off_data = None
poss_data = None
tar_data = None
cnx = update_dbs.mysql_client()
cursor = cnx.cursor()
query = 'SELECT * from gamedata;'
cursor.execute(query)
switch = pd.DataFrame(cursor.fetchall(),
columns=['teamname', 'date', 'opponent', 'location'])
idx_switch = {}
for t, d, o, l in np.array(switch):
idx_switch[str(d) + t.replace(' ', '_')] = str(d) + o.replace(' ', '_')
idx = []
for idxx in opponent_data.index:
idx.append(idx_switch[idxx])
opponent_data['idx'] = idx
opponent_data = opponent_data.set_index('idx')
opponent_data *= -1
opponent_data = opponent_data.rename(
columns={i: '-' + i
for i in list(opponent_data)})
data = opponent_data.join(team_data)
data = data.join(y_data, how='inner')
data = data.replace([np.inf, -np.inf], np.nan)
data = data.replace('NULL', np.nan)
data = data.dropna(how='any')
return data