A python library for generating pseudo-random (but "realistic") data.
The easiest way is to install via pip:
pip install pyfaker
Works with many languages and locales (the same as Ruby's Faker) so your fake data will be relevant to your location.
In [1]: from pyfaker import Fake
In [2]: fake = Fake(lang_code='en')
In [3]: fake.Address.street_address()
Out[3]: u'72449 Ward Shore'
In [4]: fake.Address.street_address()
Out[4]: u'7954 Waelchi Mall'
In [5]: fake.Company.bs()
Out[5]: u'whiteboard visionary markets'
In [6]: fake.Company.bs()
Out[6]: u'exploit innovative paradigms'
In [7]: fake.Name.name()
Out[7]: u'Aaliyah Bauch'
In [8]: fake.Name.name()
Out[8]: u"Chad O'Keefe"
In [9]: fake_de = Fake('de')
In [10]: fake_de.Address.street_address()
Out[10]: u'Imbacher Weg 471'
In [11]: fake_de.Address.city()
Out[11]: u'Schreiberdorf'
In [12]: fake_gb = Fake('en-gb')
In [13]: fake_gb.PhoneNumber.formats()
Out[13]: u'0800 906569'
In [14]: fake_gb.PhoneNumber.formats()
Out[14]: u'01662 12756'
all of this is generated from the faker gem's yamls.
The languages, which may have different levels of support:
In [14]: from pyfaker import LANGS
In [15]: print LANGS
[u'en-gb', u'fr', u'en-us', u'nl', u'vi', u'de', u'de-ch', u'en-ind', u'en-au', u'en', u'pt-br', u'en-bork', u'en-ca', u'pl', u'no-nb'
Here, en-gb denotes British English, etc.
One way is to put the instance of Fake as a default argument to __init__, this means that it's only created once (when it's defined):
class Person:
def __init__(self, fake=Fake()):
self.name = fake.Name.name()
self.phone_number = fake.PhoneNumber.formats()
p = Person()
# access the attributes
p.name
p.phone_number
Please create a github issue, if you can fix whatever it: pull-requests are much appreciated! :)
####Next up:
- more sentences and other standard random things
- make decorator (?) or apply to classes?
- guess what to fake based on names