np.expand_dims(a, axis)- expanded shape of the array, a new dimension in the insertion axis dimension designated input array is a
example:
>>>x = np.array([1,2])
>>>x.shape
(2,)
>>>y = np.expand_dims(x, axis=0)
>>>y
array([[1,2]])
>>>y.shape
(1,2)
>>>y = np.expand_dims(x, axis=1)
>>>y
array([[1],
[2]])
>>>y.shape
(2,1)numpy.squeeze(a, axis=None)- Remove array in dimension is the dimension 1, axis can be specified to remove dimension is a dimension 1, the array returned after the removal of these dimensions
Example:
>>>x = np.array([[[0], [1], [2]]]
>>>x.shape
(1, 3, 1)
>>>np.squeeze(x).shape
(3,)
>>>np.squeeze(x, axis=0).shape
(3,1)Therefore, one pair of squeeze and expand_dims reciprocal operation