Faker 40.23.0
pip install Faker
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Faker is a Python package that generates fake data for you.
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- License: MIT License (MIT License)
- Author: joke2k
- Tags faker , fixtures , data , test , mock , generator
- Requires: Python >=3.10
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Project description
Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you.
Faker is heavily inspired by PHP Faker, Perl Faker, and by Ruby Faker.
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Compatibility
Starting from version 4.0.0, Faker dropped support for Python 2 and from version 5.0.0 only supports Python 3.8 and above. If you still need Python 2 compatibility, please install version 3.0.1 in the meantime, and please consider updating your codebase to support Python 3 so you can enjoy the latest features Faker has to offer. Please see the extended docs for more details, especially if you are upgrading from version 2.0.4 and below as there might be breaking changes.
This package was also previously called fake-factory which was already deprecated by the end of 2016, and much has changed since then, so please ensure that your project and its dependencies do not depend on the old package.
Basic Usage
Install with pip:
pipinstallFakerUse faker.Faker() to create and initialize a faker generator, which can generate data by accessing properties named after the type of data you want.
fromfakerimport Fakerfake = Faker()fake.name()# 'Lucy Cechtelar'fake.address()# '426 Jordy Lodge# Cartwrightshire, SC 88120-6700'fake.text()# 'Sint velit eveniet. Rerum atque repellat voluptatem quia rerum. Numquam excepturi# beatae sint laudantium consequatur. Magni occaecati itaque sint et sit tempore. Nesciunt# amet quidem. Iusto deleniti cum autem ad quia aperiam.# A consectetur quos aliquam. In iste aliquid et aut similique suscipit. Consequatur qui# quaerat iste minus hic expedita. Consequuntur error magni et laboriosam. Aut aspernatur# voluptatem sit aliquam. Dolores voluptatum est.# Aut molestias et maxime. Fugit autem facilis quos vero. Eius quibusdam possimus est.# Ea quaerat et quisquam. Deleniti sunt quam. Adipisci consequatur id in occaecati.# Et sint et. Ut ducimus quod nemo ab voluptatum.'Each call to method fake.name() yields a different (random) result. This is because faker forwards faker.Generator.method_name() calls to faker.Generator.format(method_name).
for _ in range(10): print(fake.name())# 'Adaline Reichel'# 'Dr. Santa Prosacco DVM'# 'Noemy Vandervort V'# 'Lexi O'Conner'# 'Gracie Weber'# 'Roscoe Johns'# 'Emmett Lebsack'# 'Keegan Thiel'# 'Wellington Koelpin II'# 'Ms. Karley Kiehn V'Pytest fixtures
Faker also has its own pytest plugin which provides a faker fixture you can use in your tests. Please check out the pytest fixture docs to learn more.
Providers
Each of the generator properties (like name, address, and lorem) are called βfakeβ. A faker generator has many of them, packaged in βprovidersβ.
fromfakerimport Fakerfromfaker.providersimport internetfake = Faker()fake.add_provider(internet)print(fake.ipv4_private())Check the extended docs for a list of bundled providers and a list of community providers.
Localization
faker.Faker can take a locale as an argument, to return localized data. If no localized provider is found, the factory falls back to the default LCID string for US english, ie: en_US.
fromfakerimport Fakerfake = Faker('it_IT')for _ in range(10): print(fake.name())# 'Elda Palumbo'# 'Pacifico Giordano'# 'Sig. Avide Guerra'# 'Yago Amato'# 'Eustachio Messina'# 'Dott. Violante Lombardo'# 'Sig. Alighieri Monti'# 'Costanzo Costa'# 'Nazzareno Barbieri'# 'Max Coppola'faker.Faker also supports multiple locales. New in v3.0.0.
fromfakerimport Fakerfake = Faker(['it_IT', 'en_US', 'ja_JP'])for _ in range(10): print(fake.name())# ι΄ζ¨ ι½δΈ# Leslie Moreno# Emma Williams# ζΈ‘θΎΊ θ£ηΎε# Marcantonio Galuppi# Martha Davis# Kristen Turner# δΈζ΄₯ε· ζ₯ι¦# Ashley Castillo# ε±±η° ζ‘εYou can check available Faker locales in the source code, under the providers package. The localization of Faker is an ongoing process, for which we need your help. Please donβt hesitate to create a localized provider for your own locale and submit a Pull Request (PR).
Optimizations
The Faker constructor takes a performance-related argument called use_weighting. It specifies whether to attempt to have the frequency of values match real-world frequencies (e.g. the English name Gary would be much more frequent than the name Lorimer). If use_weighting is False, then all items have an equal chance of being selected, and the selection process is much faster. The default is True.
Command line usage
When installed, you can invoke faker from the command-line:
faker [-h] [--version] [-o output]
[-l {bg_BG,cs_CZ,...,zh_CN,zh_TW}]
[-r REPEAT] [-s SEP]
[-i package.containing.custom_provider]
[fake] [fake argument [fake argument ...]]Where:
faker: is the script when installed in your environment, in development you could use python -m faker instead
-h, --help: shows a help message
--version: shows the programβs version number
-o FILENAME: redirects the output to the specified filename
-l {bg_BG,cs_CZ,...,zh_CN,zh_TW}: allows use of a localized provider
-r REPEAT: will generate a specified number of outputs
-s SEP: will generate the specified separator after each generated output
-i package.containing.custom_provider additional custom provider to use. Note this is the import path of the package containing your Provider class, not the custom Provider class itself. Can be repeated to add multiple providers.
fake: is the name of the fake to generate an output for, such as name, address, or text
[fake argument ...]: optional arguments to pass to the fake (e.g. the profile fake takes an optional list of comma separated field names as the first argument)
Examples:
$ fakeraddress968 Bahringer Garden Apt. 722
Kristinaland, NJ 09890
$ faker-lde_DEaddressSamira-Niemeier-Allee 56
94812 Biedenkopf
$ fakerprofilessn,birthdate{'ssn': '628-10-1085', 'birthdate': '2008-03-29'}
$ faker-r=3-s=";"nameWillam Kertzmann;
Josiah Maggio;
Gayla Schmitt;
$ faker-ifaker_credit_scorecredit_score_fullExperian/Fair Isaac Risk Model V2SM
Experian
801How to create a Provider
fromfakerimport Fakerfake = Faker()# first, import a similar Provider or use the default onefromfaker.providersimport BaseProvider# create new provider classclassMyProvider(BaseProvider): deffoo(self) -> str: return 'bar'# then add new provider to faker instancefake.add_provider(MyProvider)# now you can use:fake.foo()# 'bar'How to create a Dynamic Provider
Dynamic providers can read elements from an external source.
fromfakerimport Fakerfromfaker.providersimport DynamicProvidermedical_professions_provider = DynamicProvider( provider_name="medical_profession", elements=["dr.", "doctor", "nurse", "surgeon", "clerk"],)fake = Faker()# then add new provider to faker instancefake.add_provider(medical_professions_provider)# now you can use:fake.medical_profession()# 'dr.'How to customize the Lorem Provider
You can provide your own sets of words if you donβt want to use the default lorem ipsum one. The following example shows how to do it with a list of words picked from cakeipsum :
fromfakerimport Fakerfake = Faker()my_word_list = ['danish','cheesecake','sugar','Lollipop','wafer','Gummies','sesame','Jelly','beans','pie','bar','Ice','oat' ]fake.sentence()# 'Expedita at beatae voluptatibus nulla omnis.'fake.sentence(ext_word_list=my_word_list)# 'Oat beans oat Lollipop bar cheesecake.'How to use with Factory Boy
Factory Boy already ships with integration with Faker. Simply use the factory.Faker method of factory_boy:
importfactoryfrommyapp.modelsimport BookclassBookFactory(factory.Factory): classMeta: model = Book title = factory.Faker('sentence', nb_words=4) author_name = factory.Faker('name')Accessing the random instance
The .random property on the generator returns the instance of random.Random used to generate the values:
fromfakerimport Fakerfake = Faker()fake.randomfake.random.getstate()By default all generators share the same instance of random.Random, which can be accessed with from faker.generator import random. Using this may be useful for plugins that want to affect all faker instances.
Unique values
Through use of the .unique property on the generator, you can guarantee that any generated values are unique for this specific instance.
fromfakerimport Fakerfake = Faker()names = [fake.unique.first_name() for i in range(500)]assert len(set(names)) == len(names)On Faker instances with multiple locales, you can specify the locale to use for the unique values by using the subscript notation:
fromfakerimport Fakerfake = Faker(['en_US', 'fr_FR'])names = [fake.unique["en_US"].first_name() for i in range(500)]assert len(set(names)) == len(names)Calling fake.unique.clear() clears the already seen values.
Note, to avoid infinite loops, after a number of attempts to find a unique value, Faker will throw a UniquenessException. Beware of the birthday paradox, collisions are more likely than youβd think.
fromfakerimport Fakerfake = Faker()for i in range(3): # Raises a UniquenessException fake.unique.boolean()In addition, only hashable arguments and return values can be used with .unique.
Seeding the Generator
When using Faker for unit testing, you will often want to generate the same data set. For convenience, the generator also provides a seed() method, which seeds the shared random number generator. A Seed produces the same result when the same methods with the same version of faker are called.
fromfakerimport Fakerfake = Faker()Faker.seed(4321)print(fake.name())# 'Margaret Boehm'Each generator can also be switched to use its own instance of random.Random, separated from the shared one, by using the seed_instance() method, which acts the same way. For example:
fromfakerimport Fakerfake = Faker()fake.seed_instance(4321)print(fake.name())# 'Margaret Boehm'Please note that as we keep updating datasets, results are not guaranteed to be consistent across patch versions. If you hardcode results in your test, make sure you pinned the version of Faker down to the patch number.
If you are using pytest, you can seed the faker fixture by defining a faker_seed fixture. Please check out the pytest fixture docs to learn more.
Tests
Run tests:
$toxWrite documentation for the providers of the default locale:
$python-mfaker>docs.txtWrite documentation for the providers of a specific locale:
$python-mfaker--lang=de_DE>docs_de.txtContribute
Please see CONTRIBUTING.
License
Faker is released under the MIT License. See the bundled LICENSE file for details.
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- License: MIT License (MIT License)
- Author: joke2k
- Tags faker , fixtures , data , test , mock , generator
- Requires: Python >=3.10
-
Provides-Extra:
tzdata
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- Development Status
- Environment
- Intended Audience
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- Programming Language
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