calculating a self.value, self.randomnum = normalvariate(x, y)
steve at REMOVETHIS.cybersource.com.au
Sat Jun 20 10:35:19 EDT 2009
Vincent Davis wrote:
> I currently have something like this.
> class applicant():
> def __int__(self, x, y):
> self.randomnum = normalvariate(x, y)
> then other stuff
> x, y are only used to calculate self.randomnum and this seems to
> work. But I want self.randomnum to be 0 <= randomnum <= 100.
Then it isn't a normal variate.
> The only
> way I can thing of to do this is is with a while statement and that
> seems more complicated than necessary.
Why? It's a perfectly simple procedure:
def __int__(self, x, y):
x = -1
while not 0 <= x <= 100:
x = normalvariate(x, y)
# do other stuff
That is the correct way to truncate a normal distribution.
Alternatively, truncate values past the end-points, but this will distort
the random distribution significantly:
x = max(0, min(100, normalvariate(x, y)))
You probably don't want that, as it will cause far more 0 and 100 values
than you would otherwise expect.
> I would really like to keep it
> on one line. How would I do that?
Why? Is the enter key on your keyboard broken?
More information about the Python-list