'ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 1,

I've got this error:

ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 1 and 
the array at index 1 has size 2

When I use GPR.fit method, so it would be occurred during concatenation.

But I've been tried it with x and y in same shape,

x.shape = y.shape = (# of rows , )

This is my code:

def interpolate_(x, y, x_fine):
    print('shape:',x.shape, y.shape)
    gp = GaussianProcessRegressor(kernel = get_combined_kernel())
    gp.fit(np.atleast_2d(x).T, y)
    y_mean, y_std = gp.predict(x_fine[:,None], return_std=True)
    return y_mean

Output of print('shape:', x.shape, y.shape):

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'ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 1,

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