Thanks Michael,
This did the trick. array.flatten('F') works exactly as I need.
Thanks a lot,
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s 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 wo
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
.
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
