I am using the numpy's random.normal
routine to create a Gaussian with a given mean and standard deviation.
array_a = an array of len(100)
gaussian = np.random.normal(loc=array_a,scale=0.1,size=len(2*array_a))
So I expect the gaussian
to have a mean=array_a
and stddev=0.1
and the size of the gaussian
array to be 2 times array_a
. However the above returns me an array with the same size as that of array_a
!
How do I get the len(gaussian)
to be 2 times len(array_a)
with the given mean
and standard deviation
?
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