[SciPy-User] generate integer numbers between 0 and 75 from a normal distribution

[cassiope]

So make yourself a function that re-samples the distribution if a
given draw
exceeds your boundaries.  No, the result won't be perfectly normal,
but that
was already given by your non-normal boundaries.

There are many more complex ways of achieving this, mostly less
flexible
in terms of flexible mean/sd.  If the mean & sd are fixed, you might
be able
to come up with a faster method that adequately approximates "normal"
from
a set of integer samples.

On Jul 20, 3:38 am, franck kalala <franckkal... at googlemail.com> wrote:
> yes I want to restrict these numbers between 0 and 75,
>
> 2011/7/20 Brennan Williams <brennan.willi... at visualreservoir.com>
>
>
>
>
>
> > For a normal distribution you would use...
>
> > scipy.stats.norm(loc=mean,scale=stddev)
>
> > but if you want to restrict the range of generated values to being >=0 and
> > <=75 you will need to use a truncated normal. Is that what you want to do?
>
> > On 20/07/2011 10:22 p.m., franck kalala wrote:
>
> > Hi list,
>
> > I want to generate number between 0 and 75 from normal distribution,  what
> > can I use?
>
> > Thank you
>
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