用faker和pandas库生成测试数据【杭州多测师】【杭州多测师_王sir】
from faker import Faker import csv import pandas as pd # from urllib import parse class Create_Data(object): def __init__(self): # 选择中文 fake = Faker('zh_CN') # 生成数据改变循环体来控制数据量rang(?) self.data_total = [ [fake.name(), fake.job(), fake.company(), fake.phone_number(), fake.company_email(), fake.address(), fake.date_time(tzinfo=None)] for x in range(5)] print(self.data_total) # 写入excel # def deal_excel(self): # df = pd.DataFrame(self.data_total, # columns=['name', 'job', 'company', 'phone_number', 'company_email', 'address', 'date_time']) # # 保存到本地excel # df.to_excel("data_total.xlsx", index=False) # print("Processing completed to excel") # 写入txt def deal_txt(self): with open('data_total.txt', 'w', errors='ignore', encoding='utf-8') as output: # output.write('name,job,company,phone_number.company_email.address.date_time\n') for row in self.data_total: rowtxt = '{},{},{},{},{}'.format(row[0], row[1], row[2], row[3],row[4]) # print(rowtxt) output.write(rowtxt.strip(" ")) # output.write('\n') output.close() print("Processing completed to txt") # 写入 csv def deal_csv(self): with open("data_toral.csv",'w',encoding='utf-8') as output: csv_writer = csv.writer(output) for row in self.data_total: csv_writer.writerow(row) output.close() # f = open("data_toral.csv",'w',encoding='utf-8') # csv_writer = csv.writer(f) # for i in self.data_total: # csv_writer.writerow(i) def write_raw_index(self,filename): ''' """在csv文件中第一行添加索引字段""" :return: ''' with open(filename, 'r+', encoding='utf-8') as f: content = f.read() f.seek(0, 0) text = 'name'+ ','+'job'+ ',' + 'company'+ ',' + 'phone_number'+ ',' + 'company_email'+ ',' + 'address'+',' + 'date_time' f.write(text + '\n' + content) if __name__ == '__main__': cd = Create_Data() cd.deal_txt() cd.deal_csv() f = "D:\project\hangzhou\dcs15\lesson\data_toral.csv" cd.write_raw_index(f)