fakers 0.4.0

A package that provides ready-made objects of fake-data.

fakers

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This generates pre-built container objects filled with fabricated data.

What goal this library achieved.

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The Faker library primarily offers fake data on an individual basis, so if you need fake data structured in groups of fields, it typically requires additional time and effort. This library saves you that extra time by providing pre-structured fake data groups.

Usage example

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Currently, there are two modules available for use: Retail and Person. The Retail module includes entities such as user, product, order, and sale. The Person module provides fake personal and address data.

from fakers.providers.retail import Retail
import pandas as pd

user = Retail.fake_user()
users = Retail.fake_users(5)

df = users.to_pandas()

Modules to use

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Module	Function	Description
fakers.providers.person	Retail.fake_persons	This retrieves details for either a single individual or multiple individuals.
fakers.providers.person	Retail.fake_addresses	This retrieves a fake address for an individual or multiple fake addresses.
fakers.providers.retail	Retail.fake_user	This retrieves a single user or multiple users.
fakers.providers.retail	Retail.fake_products	This retrieves one or more fake products.
fakers.providers.retail	Retail.fake_orders	This retrieves one or more fake orders.
fakers.providers.retail	Retail.fake_sales	This retrieves one or more fake sales.