Understood, but I would generally be more concerned with accuracy than memory?
2008/9/3 Matthieu Brucher <[EMAIL PROTECTED]> > It should never do some black magic without telling you. > People are concerned by memory consumption, so if you use more memory > than what you think, you can encounter bugs. Least surprise is always > better ;) > > Matthieu > > 2008/9/3, Hanni Ali <[EMAIL PROTECTED]>: > > Sebastian you legend, that seems to be it. > > > > Thank you very much. > > > > >>> matrix.mean(dtype='float64') > > 0.41582015156745911 > > > > What seems odd is that numpy doesn't do this on it's own... > > > > > > > > 2008/9/3 Sebastian Stephan Berg <[EMAIL PROTECTED]> > > > > > Hi, > > > > > > just guessing here. But numarray seems to calculate the result in a > > > bigger dataype, while numpy uses float32 which is the input arrays size > > > (at least I thought so, trying it confused me right now ...). In any > > > case, maybe the difference will be gone if you > > > use .mean(dtype='float64') (or whatever dtype numarray actually uses, > > > which seems to be "numarray.MaximumType(a.type())" where > > a is the array > > > to take the mean). > > > > > > Sebastian > > > > > > > > > > > > > > > _______________________________________________ > > > Numpy-discussion mailing list > > > Numpy-discussion@scipy.org > > > > > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > > > > > > > > _______________________________________________ > > Numpy-discussion mailing list > > Numpy-discussion@scipy.org > > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > > > > > > -- > French PhD student > Information System Engineer > Website: http://matthieu-brucher.developpez.com/ > Blogs: http://matt.eifelle.com and http://blog.developpez.com/?blog=92 > LinkedIn: http://www.linkedin.com/in/matthieubrucher > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion >
_______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
