On Thursday 24 August 2006 17:28, Travis Oliphant wrote: > Sebastian Haase wrote: > >Hi, > >I get > >TypeError: array cannot be safely cast to required type > > > >when calling hstack() ( which calls concatenate() ) > >on two arrays being a int32 and a float32 respectively. > > > >I understand now that a int32 cannot be safely converted into a float32 > >but why does concatenate not automatically > >up(?) cast to float64 ?? > > Basically, NumPy is following Numeric's behavior of raising an error in > this case of unsafe casting in concatenate. For functions that are not > universal-function objects, mixed-type behavior works basically just > like Numeric did (using the ordering of the types to determine which one > to choose as the output). > > It could be argued that the ufunc-rules should be followed instead. > > -Travis > Are you saying the ufunc-rules would convert "int32-float32" to float64 and hence make my code "just work" !?
And why are there two sets of rules ? Are the Numeric rules used at many places ? Thanks, Sebastian Haase ------------------------------------------------------------------------- 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
