how to find minimum/maximum values axis by axis in numpy array

Question

I have a NumPy array with a shape of (3,1,2):

A=np.array([[[1,4]],
            [[2,5]],
            [[3,2]]]).

I\'d like to ge

Answer 1

You can specify axis as parameter to numpy.min function.

In [10]: A=np.array([[[1,4]],
                [[2,5]],
                [[3,6]]])

In [11]: np.min(A)
Out[11]: 1

In [12]: np.min(A, axis=0)
Out[12]: array([[1, 4]])

In [13]: np.min(A, axis=1)
Out[13]: 
array([[1, 4],
       [2, 5],
       [3, 6]])

In [14]: np.min(A, axis=2)
Out[14]: 
array([[1],
       [2],
       [3]])