Nationality = įake_nationality_generator.add_provider(NationalityProvider) # we'll need this later to make a random choice from a list of possibles In the following example we create a new generator for nationalities. Finally, the custom provider is added to the maker Faker generator object so the new provider methods are accessible. The pre-made providers are often sufficient, but you may want to create your own if you have uncommon data you wish to fake, or find that the built-in providers do not have the richness you require.Ĭreating a custom provider is a matter of creating a class for your provider, along with generator methods for the fake data you wish to generate. There are also community-made providers, see here. The methods in each provider are available via the main faker object.įor example the address provider contains the ‘address’ method to produce a whole address, as well as a ‘building_number’ to only generate a building number.Ī list of available providers is available here. A provider can hold multiple methods, which are what you call to generate the data. An example of some of these basics is below:įaker uses the concept of a ‘provider’ to contain similar types of fake data. Faker Basicsįaker is easily able to handle basic biographic information such as name, address, phone number, sign-post other providers. This post gives an overview of the Python fake data package faker, which is invaluable for generating this data. This lets you protect your production data or help you get started when you don’t yet have a production system set up. Fake data can be invaluable for testing or demonstrating behaviour without using live, production data.
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