Numpy NP tips: squeeze and other processing of numpy arrays

squeeze

a = np.arange(10).reshape(1,1,10)# array([[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]])
np.squeeze(a)

unsqueeze

Extend a dimension , And squeeze Reciprocal , Do not add data

a = np.expand_dims(a,axis=-1)

Copy in a dimension , Add data

a = np.arange(64*64).reshape(1,64,64,1)
a = a.expand(3,64,64,1)  

cat Merge to add dimensions

a = np.concatenate([a, a], axis=3)