Boost Your Testing with Python’s Faker: Generate Realistic Data Instantly

The Faker library provides a simple way to generate realistic fake data for testing, covering names, addresses, phone numbers, emails, IPs, and many other types.

1. Installation

pip install Faker

2. Simple usage

from faker import Faker</code>
<code>fake = Faker(locale='zh_CN')</code>
<code>fake.name()</code>
<code>'李洁'</code>
<code>fake.address()</code>
<code>'上海市兴安盟县江北东莞路r座 803484'

The locale parameter selects the cultural locale for generated data; default is en_US. Common locales include zh_CN (Chinese Mainland), zh_TW (Chinese Taiwan), and en_US (English United States).

3. Other methods

3.1 Geographic information

city_suffix()

country()

country_code()

district()

geo_coordinate()

latitude()

longitude()

postcode()

province()

address()

street_address()

street_name()

street_suffix()

3.2 Basic profile

ssn()

bs()

company()

company_prefix()

company_suffix()

credit_card_expire()

credit_card_full()

credit_card_number()

credit_card_provider()

credit_card_security_code()

job()

first_name_female()

first_name_male()

name()

name_female()

name_male()

phone_number()

phonenumber_prefix()

3.3 Email information

ascii_company_email()

ascii_email()

company_email()

email()

safe_email()

3.4 Network basics

domain_name()

domain_word()

ipv4()

ipv6()

mac_address()

tld()

uri()

uri_extension()

uri_page()

uri_path()

url()

user_name()

image_url()

3.5 Browser information

chrome()

firefox()

internet_explorer()

opera()

safari()

linux_platform_token()

user_agent()

3.6 Numeric information

numerify()

random_digit()

random_digit_not_null()

random_int()

random_number()

pyfloat()

pyint()

pydecimal()

3.7 Text and encryption

pystr()

random_element()

random_letter()

paragraph()

paragraphs()

sentence()

sentences()

text()

word()

words()

binary()

boolean()

language_code()

locale()

md5()

null_boolean()

password()

sha1()

sha256()

uuid4()

4. Practical example

import pymysql</code>
<code>from faker import Faker</code>
<code>conn = pymysql.connect(host="114.215.129.166", port=3306, user="nice", password="", db="flask201", charset="utf8")</code>
<code>cursor = conn.cursor()</code>
<code>sql1 = """drop table if exists faker_user"""</code>
<code>sql2 = """
create table faker_user(
    pid int primary key auto_increment,
    username varchar(20),
    password varchar(20),
    address varchar(35)
)
"""</code>
<code>cursor.execute(sql1)</code>
<code>cursor.execute(sql2)</code>
<code>fake = Faker("zh_CN")</code>
<code>for i in range(20):</code>
<code>    sql = """insert into faker_user(username,password,address) values('%s','%s','%s')""" % (fake.name(), fake.password(special_chars=False), fake.address())</code>
<code>    print('姓名:'+fake.name() + '|密码:'+fake.password(special_chars=False) + '|地址:'+fake.address())</code>
<code>    cursor.execute(sql)</code>
<code>conn.commit()</code>
<code>cursor.close()</code>
<code>conn.close()

Sample output shows generated Chinese names, passwords, and addresses for each inserted record.