本文整理匯總了Python中joblib.Parallel.columns方法的典型用法代碼示例。如果您正苦於以下問題：Python Parallel.columns方法的具體用法？Python Parallel.columns怎麽用？Python Parallel.columns使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類joblib.Parallel的用法示例。
在下文中一共展示了Parallel.columns方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: create_training_data
# 需要導入模塊: from joblib import Parallel [as 別名]
# 或者: from joblib.Parallel import columns [as 別名]
def create_training_data():
num_cores = 8
# getting total number of trips
list_of_files = [[folder, f.replace('.csv','')] for folder in os.listdir('drivers') if 'DS_Store' not in folder
for f in os.listdir('drivers/'+folder) if '.csv' in f]
raw_data = Parallel( n_jobs=num_cores )(delayed(create_attributes)(i) for i in list_of_files)
raw_data = pd.DataFrame(raw_data)
raw_data.columns = ['driver_trip','trip_time','total_distance','skyway_distance','avg_speed','std_speed',
'avg_speed_up','avg_speed_down',
'avg_acc','std_acc','avg_turn','std_turn','standing_time','standing_speed']
# save to file for later training
raw_data.to_csv('training_set.csv', index=False)
return raw_data