Hello all, I just had someone from my lab coming to my desk saying: "My god - SciPy is really stupid .... An array with only positive numbers claims to have a negative mean !! "?
I was asking about this before ... the reason was of course that her array was of dtype int32 and had many large values to cause an overflow (wrap around) . Now that the default for axis is None (for all functions having an axis argument), can we please change dtype to default to float64 !? It is really a very confusing and shocking result to get a negative mean on all positive values. It has been stated here before that numpy should target the "scientist" rather than the programmers ... I would argue that mean() almost always requires the precision of "double" (float64) to produce usable results. Please consider this change before the 1.0 release ... Thanks, Sebastian Haase ------------------------------------------------------------------------- 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
