What is the best way of getting random numbers in NumPy?

Question

I want to generate random numbers in the range -1, 1 and want each one to have equal probability of being generated. I.e. I don\'t want the extremes to be less

Answer 1

From the documentation for numpy.random.random_sample:

Results are from the “continuous uniform” distribution over the stated interval. To sample Unif[A, b), b > a multiply the output of random_sample by (b-a) and add a:

 (b - a) * random_sample() + a

Per Sven Marnach's answer, the documentation probably needs updating to reference numpy.random.uniform.