使用Python Faker生成5000行的不同数据 [英] Using Python Faker generate different data for 5000 rows

问题描述

我想使用Python Faker库生成500行数据，但是我使用下面提供的代码重复获取数据.您能指出我要去哪里了吗?我相信这与for循环有关.预先感谢:

I would like to use the Python Faker library to generate 500 lines of data, however I get repeated data using the code I came up with below. Can you please point out where I'm going wrong. I believe it has something to do with the for loop. Thanks in advance:

from faker import Factory
import pandas as pd
import random

def create_fake_stuff(fake):


df = pd.DataFrame(columns=('name'
    , 'email'
    , 'bs'
    , 'address'
    , 'city'
    , 'state'
    , 'date_time'
    , 'paragraph'
    , 'Conrad'
    ,'randomdata'))

stuff = [fake.name()
    , fake.email()
    , fake.bs()
    , fake.address()
    , fake.city()
    , fake.state()
    , fake.date_time()
    , fake.paragraph()
    , fake.catch_phrase()
    , random.randint(1000,2000)]

for i in range(10):
        df.loc[i] = [item for item in stuff]
print(df)

if __name__ == '__main__':
    fake = Factory.create()
    create_fake_stuff(fake)

推荐答案

我将伪造的东西数组放在我的for循环中，以实现所需的结果:

I placed the fake stuff array inside my for loop to achieve the desired result:

for i in range(10):
    stuff = [fake.name()
        , fake.email()
        , fake.bs()
        , fake.address()
        , fake.city()
        , fake.state()
        , fake.date_time()
        , fake.paragraph()
        , fake.catch_phrase()
        , random.randint(1000, 2000)]
    df.loc[i] = [item for item in stuff]
    print(df)

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