pitrou commented on issue #47288: URL: https://github.com/apache/arrow/issues/47288#issuecomment-3200713218
Copying part of the comment I posted on the PyArrow side: > Generating random data for testing (where you generally want data to be "interesting" but you don't need high statistical quality) is not the same thing as providing random generation facilities for production (where you generally want data to have guaranteed statistical properties, such as: uniform/normal/etc., with certain parameters). We can definitely provide more random generation kernels for other numeric types, but you can also generate `float64` and cast to the target type (the exception being higher-precision data types such as decimals). As for random binary types, are there well-known distributions we can expose? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
