I'm trying to do something that at first glance I think should be simple but I can't quite figure out how to do it. The problem is as follows:
I have a 3D grid Values[Nx, Ny, Nz]
I want to slice Values at a 2D surface in the Z dimension specified by Z_index[Nx, Ny] and return a 2D slice[Nx, Ny].
It is not as simple as Values[:,:,Z_index].
I tried this:
>>> values.shape
(4, 5, 6)
>>> coords.shape
(4, 5)
>>> slice = values[:,:,coords]
>>> slice.shape
(4, 5, 4, 5)
>>> slice = np.take(values, coords, axis=2)
>>> slice.shape
(4, 5, 4, 5)
>>>
Obviously I could create an empty 2D slice and then fill it by using np.ndenumerate to fill it point by point by selecting values[i, j, Z_index[i, j]]. This just seems too inefficient and not very pythonic.