Hi, in numarray I could do this >>> import numarray as na >>> a = na.arange(10) >>> b = na.array(a._data, type=na.int32, shape=8)
b would use the beginning part of a. This is actually important for inplace FFT (where in real-to-complex-fft the input has 2 "columns" more memory than the output) I found that in numpy there is no shape argument in array() at all anymore ! How can this be done with numpy ? 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
