On Tue, Jun 7, 2016 at 7:25 AM, Heli <heml...@gmail.com> wrote: > Hello, > > I have a question regarding reshaping numpy array. > > I either have a 1D array that I need to reshape to a 3D array or a 3D array > to reshape to a 1d numpy array. > > In both of these cases it is assumed that data follows x,y,z ordering. > > and I use the following to reshape the numpy array. > > > new_1d_array=np.reshape(3d.transpose(),(3d_nx*3d_ny*3d_nz,)) > > > new_3d_array=np.reshape(1d,((3d_x,3d_y,3d_z)).transpose()) > > My question is if there is anyway that reshape would keep x,y,z ordering that > would not require transpose? and if there is a better more efficient way to > do this? > > Thanks alot, > -- > https://mail.python.org/mailman/listinfo/python-list
Sorry, I can't help, others may be able to help you here. But there is also a numpy specific mailing list you might try -- Joel Goldstick http://joelgoldstick.com/blog http://cc-baseballstats.info/stats/birthdays -- https://mail.python.org/mailman/listinfo/python-list
