Normal Distribution

[Santanu Sarkar]

How to generate 1000 random integers which follow normal
distribution with mean 0 and variance 0.1?

[Vegard Lima]

You can do this with numpy:

sage: import numpy as np
sage: mu, sigma = 0, sqrt(0.1) # mean and standard deviation
sage: s = np.random.normal(mu, sigma, 1000)

Note that it takes std.deviation as input not variance.

Cheers,
--
Vegard

[Goebbe]

Not sure what generating "integers" means, when drawing from a
normal,
but if you just want to draw random numbers, the following should do
it:

NV001 = RealDistribution('gaussian',sqrt(0.1)) #N(0,0.1) mean=0 std
dev = sqrt(0.1)
randomdraws = [NV001.get_random_element() for _ in range(1000)]

[Santanu Sarkar]

Thanks for the help.

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