Python DataPreprocessing示例

示例#1

文件： main_add_features.py 项目： CKettler/DataminingAssignment2

import data_preprocessing as dp
from datetime import datetime

filepath = 'data/data_slice_2.csv'

data_aggregator = dp.DataPreprocessing(filepath)

data_aggregator.add_data()

print 'data added', datetime.now().time()

data_aggregator.df.to_csv("data/data_slice_2_added_variables.csv")

print 'data saved', datetime.now().time()

filepath = 'data/data_slice_3.csv'

data_aggregator = dp.DataPreprocessing(filepath)

data_aggregator.add_data()

print 'data added', datetime.now().time()

data_aggregator.df.to_csv("data/data_slice_3_added_variables.csv")

print 'data saved', datetime.now().time()

示例#2

文件： model_by_pumsa.py 项目： yoonjaeSong/ICO

 def __init__(self):
     self.x_train, self.x_test, self.y_train, self.y_test = dp.DataPreprocessing(
     ).preprocessing_data_by_pumsa()
     self.common_words_list = self.load_pickle_file("common_words_list")