Python - 使用 Faker 生成假数据

pip install faker

from faker import fakerfake = faker()print(fake.name())      # generate a random nameprint(fake.address())   # generate a random addressprint(fake.email())     # generate a random email

print(fake.text())            # generate a random text paragraphprint(fake.date())            # generate a random dateprint(fake.company())         # generate a random company nameprint(fake.phone_number())    # generate a random phone numberprint(fake.job())             # generate a random job titleprint(fake.ssn())             # generate a random social security numberprint(fake.profile())         # generate a random user profile

fake_fr = faker('fr_fr')print(fake_fr.name())         # generate a french nameprint(fake_fr.address())      # generate a french addressprint(fake_fr.phone_number()) # generate a french phone number

from faker import fakerfake = faker()users = []for _ in range(10):    user = {        'name': fake.name(),        'address': fake.address(),        'email': fake.email(),        'dob': fake.date_of_birth(),        'phone': fake.phone_number()    }    users.append(user)print(users)

from faker import fakerfrom faker.providers import baseproviderclass bookprovider(baseprovider):    def book_title(self):        titles = [            'the great adventure',            'mystery of the old house',            'journey to the unknown',            'the secret garden',            'tales of the unexpected'        ]        return self.random_element(titles)fake = faker()fake.add_provider(bookprovider)print(fake.book_title())  # generate a random book title

from faker import Fakerfake = Faker()fake.seed_instance(12345)print(fake.name())  # This will always generate the same nameprint(fake.address())  # This will always generate the same address