Faker
faker.readthedocs.io › en › master › providers › faker.providers.python.html
faker.providers.python — Faker 40.12.0 documentation
pyobject(object_type: Type[bool | str | float | int | tuple | set | list | Iterable | dict] | None = None) → bool | str | float | int | tuple | set | list | Iterable | dict | None¶ · Generates a random object passing the type desired. ... pyset(nb_elements: int = 10, variable_nb_elements: ...
Faker
faker.readthedocs.io › en › master › providers › baseprovider.html
faker.providers. - BaseProvider - Faker's documentation!
>>> Faker.seed(0) >>> for _ in range(10): ... fake.random_element(elements=OrderedDict([("a", 0.45), ("b", 0.35), ("c", 0.15), ("d", 0.05), ])) ... 'c' 'b' 'a' 'a' 'b' 'a' 'b' 'a' 'b' 'b' random_elements(elements: Collection[T] | OrderedDict[T, float] = ('a', 'b', 'c'), length: int | None = None, unique: bool = False, use_weighting: bool | None = None) → Sequence[T]¶
Videos
18:34
Generate Dummy Data using Faker Library For Projects | #faker #python ...
17:59
How to Generate Random and Fake Data in Python - Create Mock Datasets!
19:22
Generating Professional Sample Data with Faker in Python - YouTube
How To Easily Create Data With Python Faker Library
03:55
How to generate random fake data using Faker - YouTube
Blue Book
lyz-code.github.io › blue-book › coding › python › faker
Faker - The Blue Book
OptionalProvider uses existent faker providers to create the data, so you can use the provider method arguments. For example, optional_int uses the python provider pyint, so you can use the min_value, max_value, and step arguments. Every optional_ method accepts the float ratio argument between 0 and 1, with a default value of 0.5 to define what percent of results should be None, a greater value will mean that less results will be None.
GitHub
github.com › joke2k › faker › issues › 1068
Error when calling pyfloat provider · Issue #1068 · joke2k/faker
December 4, 2019 - from faker import Faker fake = Faker() # just any random float numbers in min_value < max_value fake.pyfloat(min_value=-15.23, max_value=4512313) Above call should not raise any error. Running the code above will raise the following error: .... File "/usr/lib/python3.7/random.py", line 186, in randrange raise ValueError("non-integer arg 1 for randrange()") ValueError: non-integer arg 1 for randrange()
Author raikel
Faker
faker.readthedocs.io › en › master › providers › faker.providers.python.html
faker.providers.python — Faker 40.11.1 documentation
pyobject(object_type: Type[bool | str | float | int | tuple | set | list | Iterable | dict] | None = None) → bool | str | float | int | tuple | set | list | Iterable | dict | None¶ · Generates a random object passing the type desired. ... pyset(nb_elements: int = 10, variable_nb_elements: ...
CodingNomads
codingnomads.com › how-to-use-python-faker-random-data-generator
How to Use Python Faker: Random Data Generator
Learn to use Python Faker's random data generator to generate data for testing & development. Configure the fake data generator so it does not use dummy data in production.
HotExamples
python.hotexamples.com › examples › faker › Faker › pyfloat › python-faker-pyfloat-method-examples.html
Python Faker.pyfloat Examples, faker.Faker.pyfloat Python Examples - HotExamples
def get_test_row(self): f = Faker(locale="zh_CN") detail = str(f.random_int(max=100)) + "," + str(f.random_int(max=100)) + "," + \ str(f.random_int(max=100)) + "," + str(f.random_int(max=100)) row = [f.random_int(min=1, max=3), f.random_int(min=1, max=3), f.job(), f.random_letter(), f.name(), f.pyfloat(left_digits=2, right_digits=1), detail, f.sentence()] return row ... def book_generator(count: int = 10) -> Iterator[tuple]: """ ( title: str, isbn13: str, pages: int, year: int, price: float, discount: Optional[int] = None ) :param count: количество книг для случайной
Top answer 1 of 4
12
You can use python providers as well.
class MyModel(factory.django.DjangoModelFactory)
number_field = factory.Faker('pyint', min_value=0, max_value=1000)
class Meta:
model = SomeModel
Documentation
2 of 4
9
I was able to figure out this problem by using a lazy attribute (factory.LazyAttribute). From the docs:
Most factory attributes can be added using static values that are evaluated when the factory is defined, but some attributes (such as fields whose value is computed from other elements) will need values assigned each time an instance is generated.
class FabricFactory(DjangoModelFactory):
class Meta:
model = Fabric
title = factory.Faker('name')
description = factory.Faker('catch_phrase')
price = factory.LazyAttribute(random.randrange(MIN_PRICE, MAX_PRICE + 1))
GitHub
github.com › joke2k › faker › blob › master › faker › providers › python › __init__.py
faker/faker/providers/python/__init__.py at master · joke2k/faker
object_type: Optional[Type[Union[bool, str, float, int, tuple, set, list, Iterable, dict]]] = None,
Author joke2k
Faker
faker.readthedocs.io › en › stable › providers › faker.providers.python.html
faker.providers.python — Faker 40.4.0 documentation
pyobject(object_type: Type[bool | str | float | int | tuple | set | list | Iterable | dict] | None = None) → bool | str | float | int | tuple | set | list | Iterable | dict | None¶ · Generates a random object passing the type desired. ... pyset(nb_elements: int = 10, variable_nb_elements: ...
GeeksforGeeks
geeksforgeeks.org › python › python-faker-library
Python Faker Library - GeeksforGeeks
January 9, 2026 - Python · from faker import Faker import json from random import randint fake = Faker() n1 = 5 students = {} for i in range(n1): students[i] = { 'id': randint(1, 10), 'name': fake.name(), 'address': fake.address(), 'latitude': float(fake.latitude()), 'longitude': float(fake.longitude()) } print(json.dumps(students, indent=4)) with open('students.json', 'w') as fp: json.dump(students, fp, indent=4) print(f"JSON file created with {n1} student records.") Output ·
Fwhy
fwhy.github.io › faker-docs › formatters › base › random_float.html
randomFloat | FakerPHP非公式リファレンス
November 22, 2023 - randomFloat 🇯🇵 🇺🇸 ランダムな浮動小数点数を返します。 パラメータ $nbMaxDecimals 返される浮動小数点数の小数桁数。 nullを指定した場合、randomDigit()で生成されたランダムな値に...
GitHub
github.com › joke2k › faker › issues › 2039
pyfloat() - floats passed as min_value and max_value params TypeError: 'float' object cannot be interpreted as an integer · Issue #2039 · joke2k/faker
May 2, 2024 - output does not include floats below 1 or above the max value. ... File "/usr/src/app/contracts/management/commands/populate_contracts.py", line 42, in handle "currency_value": faker.pyfloat( ^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/faker/providers/python/__init__.py", line 133, in pyfloat left_number = self._safe_random_int( ^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/faker/providers/python/__init__.py", line 172, in _safe_random_int return self.random_int(min_value, max_value - 1) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/pyth
Author josidridolfo
Medium
medium.com › @abhr1994 › generate-sample-data-using-faker-cc0c8707cf80
Generate Sample Data using Faker. In this article lets see how we can… | by Abhishek Raviprasad | Medium
December 14, 2022 - import decimal int_col = random.randint(1000, 10000) decimal_col = int_col/2.123243 # or random.uniform(10.5, 75.5) long_col = random.randint(1000, 10000) * random.randint(1000000, 1000000000) float_col = float(decimal.Decimal(random.randrange(155, 389))/100) date_col = fake.date_between(start_date='-90d', end_date='today') start_date = datetime.now() from datetime import timedelta end_date = start_date + timedelta(days=10) random_date = start_date + (end_date - start_date) * random.random() timestamp_col = str(random_date) string_col = fake.name()
FakerPHP
fakerphp.org › formatters › numbers-and-strings
Numbers and Strings - FakerPHP / Faker
echo $faker->randomNumber(5, false); // 123, 43, 19238, 5, or 1203 echo $faker->randomNumber(5, true); // 12643, 42931, or 32919 · Generates a random float.
CodeCut
codecut.ai › home › faker: generate realistic test data in python with one line of code
Faker: Generate Realistic Test Data in Python with One Line of Code | CodeCut
January 21, 2026 - Basics of Faker · Location-Specific Data Generation · Create Text · Create Profile Data · Create Random Python Datatypes · Conclusion · Let’s say you want to create data with certain data types (bool, float, text, integers) with special characteristics (names, address, color, email, phone number, location) to test some Python libraries or specific implementation.
Faker
faker.readthedocs.io › en › master › providers › faker.providers.misc.html
faker.providers.misc — Faker 40.11.1 documentation
Generate a random boolean value based on chance_of_getting_true. ... >>> Faker.seed(0) >>> for _ in range(5): ... fake.boolean(chance_of_getting_true=25) ...
Faker
faker.readthedocs.io › en › master › providers › faker.providers.geo.html
faker.providers.geo — Faker 40.12.0 documentation
coordinate(center: float | None = None, radius: float | int = 0.001) → Decimal¶ · Optionally center the coord and pick a point within radius. ... >>> Faker.seed(0) >>> for _ in range(5): ... fake.coordinate() ...
Top answer 1 of 7
32
What's "a random decimal"? Decimals have arbitrary precision, so generating a number with as much randomness as you can hold in a Decimal would take the entire memory of your machine to store.
You have to know how many decimal digits of precision you want in your random number, at which point it's easy to just grab an random integer and divide it. For example if you want two digits above the point and two digits in the fraction (see randrange here):
decimal.Decimal(random.randrange(10000))/100
2 of 7
16
From the standard library reference :
To create a Decimal from a float, first convert it to a string. This serves as an explicit reminder of the details of the conversion (including representation error).
>>> import random, decimal
>>> decimal.Decimal(str(random.random()))
Decimal('0.467474014342')
Is this what you mean? It doesn't seem like a pita to me. You can scale it into whatever range and precision you want.
PyPI
pypi.org › project › Faker › 0.7.4
Faker · PyPI
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)``. .. code:: python for _ in range(0, 10): print fake.name() # Adaline Reichel # Dr.
» pip install Faker