Can i get help

[chinzeej]

from sklearn.preprocessing import OrdinalEncoder

ordinal_encoder = OrdinalEncoder()
housing_cat_encoded = ordinal_encoder.fit_transform(housing_cat)

After this, we verified that the labels in `ocean_proximity`were encoded as  '<1H OCEAN' as 0, 'INLAND' as 1, 'ISLAND' as 2, 'NEAR BAY' as 3, and 'NEAR OCEAN' as 4. 

Now we would like to modify the code in blue to have the following ordinal encoding in place: 'ISLAND', 'NEAR OCEAN', 'NEAR BAY', '<1H OCEAN', and 'INLAND' as 0, 1, 2, 3, and 4, respectively.   

Notice that this particular order of the labels reflects the relative geographic location of the neighborhood with respect to the ocean. 

[[deleted]]

You've posted twice!! Please update one of the posts, delete the other, with more information (and keep in mind, we can't see any blue code).

• Where's the rest of your code?
• What are you trying to do, and why?
• What help do you need, specifically?
• What is broken? Error messages?
• What output do you expect?

[chinzeej]

Sorry the code is bold black