replacing specific columns values in 2d array numpy

Question

how to replace 4th and 5th column values in utl by new_values array and keep the remaining columns as it is

utl = np.array([[  3.  , 134.4 , 17.  ,   135.05 ,    22. ,   135.25 ,   0.04     ],
                [ 12.  , 134.3 , 17.  ,   135.05 ,    22. ,  135.8  ,    0.15     ]])

new_values=np.array([[ 27.,   135.45],
                     [ 27.,   136.55]])

i tried this but it does not work

# utl[:,[4,5]] = new_values 
# utl[:,4] = new_values[:,0] 

output must be

                                      #values changed 
[[  3.  , 134.4 , 17.  ,   135.05 ,  |  27. ,  135.45  |,   0.04     ],
 [ 12.  , 134.3 , 17.  ,   135.05 ,  |  27. ,  136.55  |,    0.15     ]])

Answer 1

this works fine, as expected:

utl[:, [4,5]] = new_values

output:

array([[  3.  , 134.4 ,  17.  , 135.05,  27.  , 135.45,   0.04],
       [ 12.  , 134.3 ,  17.  , 135.05,  27.  , 136.55,   0.15]])