arr = np.arange(12).reshape((3, 2, 2))
indices = np.array([0, 1, 1])

expected_outcome = np.array([[0, 1], [6, 7], [10, 11]])

I'm trying to index this array of shape (3,2,2) with an array of shape (3) containing the y-index of the value I want to get. I tried to make it work with for in statement, but is there an elegant way to do it with numpy?

CodePudding user response：

So you want arr[0,0,:], arr[1,1,:], arr[2,1,:]?

How about

In [179]: arr[[0,1,2], [0,1,1]]
Out[179]: 
array([[ 0,  1],
       [ 6,  7],
       [10, 11]])