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
