# -*- coding: utf-8 -*- """ Created on Mon May 14 13:35:26 2018 @author: fangyucheng """ import json import pandas as pd def dic_file_to_lst(filename): openfile = open(filename) task = [] for line in openfile: line_dic = json.loads(line) task.append(line_dic) return task def str_file_to_lst(filename): openfile = open(filename, 'r', encoding='utf-8') task = [] for line in openfile: line_str = line.replace('\n','') task.append(line_str) return task def csv_to_lst(csvname): openfile = open(csvname, 'r') task = [] for line in openfile: task.append(line) task_lst = [] for line in task: line_lst = line.split(',') task_lst.append(line_lst) return task_lst def csv_to_lst_with_headline(csvname): result_lst = [] openfile = open(csvname, 'r', encoding='gb18030') head = openfile.readline() head = head.replace('\n', '') head_lst = head.strip().split(',') for line in openfile: line = line.replace('\n', '') line_lst = line.strip().split(',') test_dict = dict(zip(head_lst,line_lst)) result_lst.append(test_dict) return result_lst def dic_lst_to_file(listname, filename): file = open(filename, 'a') for line in listname: json_line = json.dumps(line) file.write(json_line) file.write('\n') file.flush() file.close() def str_lst_to_file(listname, filename): file = open(filename, 'a', encoding='gb18030') for line in listname: file.write(line) file.write('\n') file.flush() file.close() def lst_to_csv_practical(lst_name, csv_name): dataframe=pd.DataFrame(lst_name) if len(str(lst_name[0]['release_time'])) == 10: dataframe['midstep'] = dataframe['release_time']+8*3600 dataframe['realtime'] = pd.to_datetime(dataframe['midstep'],unit='s') else: dataframe['midstep'] = dataframe['release_time']+8*3600*1e3 dataframe['realtime'] = pd.to_datetime(dataframe['midstep'],unit='ms') del dataframe['midstep'] del dataframe['release_time'] del dataframe['fetch_time'] dataframe.to_csv(csv_name, encoding='gb18030', index=False) def lst_to_csv(listname, csvname): dataframe = pd.DataFrame(listname) dataframe.to_csv(csvname, encoding='gb18030', index=False) def csv_to_file(filename, csvname): file = open(filename) task = [] for line in task: json_line = json.dumps(line) file.write(json_line) file.write('\n') file.flush() dataframe = pd.DataFrame(task) dataframe.to_csv(csvname, encoding='gb18030', index=False) file.close()