How to specify upper and lower limits when using numpy.random.normal

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For sigma_span = 4 (+2s and -2s), 95% of values of a normal distribution would fall into the bounds. sigma_span=1 produces a very broad distribution, higher values (>6) will be almost indistinguishable from a normal distribution (most values will not reach the bounds).


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