Hi, I'm looking for an easy way to access the data area of the numpy scalars no matter its type. I've seen that numpy/arrayscalars.h define a structure for each scalar type, so I'd guess that it will not be possible to find a general way for accessing the data buffer for each type. So, I've decided to look for a workaround and I've devised a couple of possibilities:
1.- Promote the scalar type to a ndarray object and use the regular ndarray C structure to access the data buffer. 2.- Fetch the buffer in scalartype.data and use the buffer protocol in order to access the pointer to data in memory. However, I lack experience in buffer protocol, so suggestions for achieving this are welcome. If there is some other trivial way that I haven't devised (specially if usable from pyrex), please tell me about. TIA, -- >0,0< Francesc Altet http://www.carabos.com/ V V Cárabos Coop. V. Enjoy Data "-" ------------------------------------------------------------------------- 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
