From the documentation for numpy’s random.Generator.choice function, one of the arguments is shuffle, which defaults to True.

The documentation states:

shuffle bool, optional

Whether the sample is shuffled when sampling without replacement. Default is True, False provides a speedup.

There isn’t enough information for me to figure out what this means. I don’t understand why we would shuffle if it’s already appropriately random, and I don’t understand why I would be given the option to not shuffle if that yields a biased sample.

If I set shuffle to False am I still getting a random (independent) sample? I’d love to also understand why I would ever want the default setting of True.