Travis Oliphant wrote: > Sebastian Haase wrote: >> Hi! >> b is a non-native byteorder array of type int16 >> but see further down: same after converting to native ... >> >>>>> repr(b.dtype) >>>>> >> 'dtype('>i2')' >> > > The problem is no-doubt related to "wrapping" for integers. Your total is > getting too large to fit into the reducing data-type. > > What does > > d.sum() give you? I can't check that particular array until Monday...
> > You can add d.mean(dtype='d') to force reduction over doubles. This almost sound like what I reported is something like a feature !? Is there a sensible / generic way to avoid those "accident" ? Maybe it must be the default to reduce int8, uint8, int16, uint16 into doubles !? - Sebastian ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion