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 ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
