add a new dimension and repeat values for a numpy array

I have a very basic question. I think this can be done elegantly in a single line with numpy, but I don't know how. Let's say I have a 2D numpy array with shape (Nx,Ny), and I want to add a third dimension with shape Nz. For every fixed index_x,index_y I want to repeat the value of the array for all indices across the new z axis.

I can easily do this with basic instructions like

# array_1 has shape (Nx,Ny)
array_2 = np.zeros((Nx,Ny,Nz))

for idx_x in range(Nx):
    for idx_y in range(Ny):
        array_2[idx_x,idx_y,:] = array_1[idx_x,idx_y]

but I was wondering what is the exact numpy function to do this in a single line

source https://stackoverflow.com/questions/76137156/add-a-new-dimension-and-repeat-values-for-a-numpy-array

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