Welcome to Faker’s documentation!¶
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.
_|_|_|_| _|
_| _|_|_| _| _| _|_| _| _|_|
_|_|_| _| _| _|_| _|_|_|_| _|_|
_| _| _| _| _| _| _|
_| _|_|_| _| _| _|_|_| _|
For more details, see the extended docs, especially if you are upgrading
from version 2.0.4
and below as there might be breaking changes.
Basic Usage¶
Install with pip:
pip install Faker
Note: this package was previously called fake-factory
.
Use faker.Faker()
to create and initialize a faker
generator, which can generate data by accessing properties named after
the type of data you want.
from faker import Faker
fake = 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'
Providers¶
Each of the generator properties (like name
, address
, and
lorem
) are called “fake”. A faker generator has many of them,
packaged in “providers”.
from faker import Faker
from faker.providers import internet
fake = 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 en_US locale.
from faker import Faker
fake = 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.
from faker import Faker
fake = Faker(['it_IT', 'en_US', 'ja_JP'])
for _ in range(10):
print(fake.name())
# 鈴木 陽一
# Leslie Moreno
# Emma Williams
# 渡辺 裕美子
# Marcantonio Galuppi
# Martha Davis
# Kristen Turner
# 中津川 春香
# Ashley Castillo
# 山田 桃子
You 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 don’t hesitate to create a localized provider for your own locale and submit a Pull Request (PR).
Included localized providers:
- ar_EG - Arabic (Egypt)
- ar_PS - Arabic (Palestine)
- ar_SA - Arabic (Saudi Arabia)
- bg_BG - Bulgarian
- bs_BA - Bosnian
- cs_CZ - Czech
- de_DE - German
- dk_DK - Danish
- el_GR - Greek
- en_AU - English (Australia)
- en_CA - English (Canada)
- en_GB - English (Great Britain)
- en_NZ - English (New Zealand)
- en_US - English (United States)
- es_ES - Spanish (Spain)
- es_MX - Spanish (Mexico)
- et_EE - Estonian
- fa_IR - Persian (Iran)
- fi_FI - Finnish
- fr_FR - French
- hi_IN - Hindi
- hr_HR - Croatian
- hu_HU - Hungarian
- hy_AM - Armenian
- it_IT - Italian
- ja_JP - Japanese
- ka_GE - Georgian (Georgia)
- ko_KR - Korean
- lt_LT - Lithuanian
- lv_LV - Latvian
- ne_NP - Nepali
- nl_NL - Dutch (Netherlands)
- no_NO - Norwegian
- pl_PL - Polish
- pt_BR - Portuguese (Brazil)
- pt_PT - Portuguese (Portugal)
- ro_RO - Romanian
- ru_RU - Russian
- sl_SI - Slovene
- sv_SE - Swedish
- tr_TR - Turkish
- uk_UA - Ukrainian
- zh_CN - Chinese (China)
- zh_TW - Chinese (Taiwan)
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 otherpkg.containing.custom_provider}]
[fake] [fake argument [fake argument ...]]
Where:
faker
: is the script when installed in your environment, in development you could usepython -m faker
instead-h
,--help
: shows a help message--version
: shows the program’s 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 {my.custom_provider other.custom_provider}
list of additional custom providers to use. Note that is the import path of the package containing your Provider class, not the custom Provider class itself.fake
: is the name of the fake to generate an output for, such asname
,address
, ortext
[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:
$ faker address
968 Bahringer Garden Apt. 722
Kristinaland, NJ 09890
$ faker -l de_DE address
Samira-Niemeier-Allee 56
94812 Biedenkopf
$ faker profile ssn,birthdate
{'ssn': u'628-10-1085', 'birthdate': '2008-03-29'}
$ faker -r=3 -s=";" name
Willam Kertzmann;
Josiah Maggio;
Gayla Schmitt;
How to create a Provider¶
from faker import Faker
fake = Faker()
# first, import a similar Provider or use the default one
from faker.providers import BaseProvider
# create new provider class. Note that the class name _must_ be ``Provider``.
class Provider(BaseProvider):
def foo(self):
return 'bar'
# then add new provider to faker instance
fake.add_provider(Provider)
# now you can use:
fake.foo()
# 'bar'
How to customize the Lorem Provider¶
You can provide your own sets of words if you don’t want to use the default lorem ipsum one. The following example shows how to do it with a list of words picked from cakeipsum :
from faker import Faker
fake = 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
:
import factory
from myapp.models import Book
class BookFactory(factory.Factory):
class Meta:
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:
from faker import Faker
fake = Faker()
fake.random
fake.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.
Seeding the Generator¶
When using Faker for unit testing, you will often want to generate the same
data set. For convenience, the generator also provide a seed()
method,
which seeds the shared random number generator. Calling the same methods with
the same version of faker and seed produces the same results.
from faker import Faker
fake = Faker()
Faker.seed(4321)
print(fake.name())
# 'Margaret Boehm'
Each generator can also be switched to its own instance of random.Random
,
separate to the shared one, by using the seed_instance()
method, which acts
the same way. For example:
from faker import Faker
fake = 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.
Contribute¶
Please see CONTRIBUTING.
Contents¶
- Using the Faker Class
- Standard Providers
faker.providers
faker.providers.address
faker.providers.automotive
faker.providers.bank
faker.providers.barcode
faker.providers.color
faker.providers.company
faker.providers.credit_card
faker.providers.currency
faker.providers.date_time
faker.providers.file
faker.providers.geo
faker.providers.internet
faker.providers.isbn
faker.providers.job
faker.providers.lorem
faker.providers.misc
faker.providers.person
faker.providers.phone_number
faker.providers.profile
faker.providers.python
faker.providers.ssn
faker.providers.user_agent
- Community Providers
- Localized Providers
- Locale ar_AA
- Locale ar_EG
- Locale ar_JO
- Locale ar_PS
- Locale ar_SA
- Locale bg_BG
- Locale bs_BA
- Locale cs_CZ
- Locale de
- Locale de_AT
- Locale de_CH
- Locale de_DE
- Locale dk_DK
- Locale el_CY
- Locale el_GR
- Locale en
- Locale en_AU
- Locale en_CA
- Locale en_GB
- Locale en_IE
- Locale en_NZ
- Locale en_PH
- Locale en_TH
- Locale en_US
- Locale es
- Locale es_CA
- Locale es_ES
- Locale es_MX
- Locale et_EE
- Locale fa_IR
- Locale fi_FI
- Locale fil_PH
- Locale fr_CH
- Locale fr_FR
- Locale fr_QC
- Locale he_IL
- Locale hi_IN
- Locale hr_HR
- Locale hu_HU
- Locale hy_AM
- Locale id_ID
- Locale it_IT
- Locale ja_JP
- Locale ka_GE
- Locale ko_KR
- Locale la
- Locale lb_LU
- Locale lt_LT
- Locale lv_LV
- Locale mt_MT
- Locale ne_NP
- Locale nl_BE
- Locale nl_NL
- Locale no_NO
- Locale pl_PL
- Locale pt_BR
- Locale pt_PT
- Locale ro_RO
- Locale ru_RU
- Locale sk_SK
- Locale sl_SI
- Locale sv_SE
- Locale ta_IN
- Locale th_TH
- Locale tl_PH
- Locale tr_TR
- Locale tw_GH
- Locale uk_UA
- Locale zh_CN
- Locale zh_TW
- Coding Style
- Writing Documentation