Re: [Numpy-discussion] how to get an array with "varying" poisson distribution

[James G. <jg...@ca...>]

Robert Kern wrote:
> Sebastian Haase wrote:
>> Hi,
>> Essentially I'm looking  for the equivalent of what was in numarray:
>>     from numarray import random_array
>>     random_array.poisson(arr)
>>
>> That is: if for example arr is a 256x256 array of positive integers, then this 
>> returns a new array of random numbers than are drawn according to the poisson 
>> statistics  where arr's value at coordinate y,x  determines the mean of the 
>> poisson distribution used  to generate  a new value for y,x. 
> 
> I'm afraid that at this point in time, the distributions only accept scalar 
> values for the parameters. I've thought about reimplementing the distribution 
> functions as ufuncs, but that's a hefty chunk of work that won't happen for 1.0.

FWIW, I've had enquires about the availability, or not, of this functionality in 
NumPy as well, so when someone does have time to work on it, it will be very 
much appreciated.

-- 
"You see stars that clear have been dead for years
But the idea just lives on..." -- Bright Eyes