Remapping categories II

In the last exercise, you determined that the distance cutoff point for remapping typos of 'american', 'asian', and 'italian' cuisine types stored in the cuisine_type column should be 80.

In this exercise, you're going to put it all together by finding matches with similarity scores equal to or higher than 80 by using fuzywuzzy.process's extract() function, for each correct cuisine type, and replacing these matches with it. Remember, when comparing a string with an array of strings using process.extract(), the output is a list of tuples where each of tuple is as such:

(closest match, similarity score, index of match)

The restaurants DataFrame is in your environment, and you have access to a categories list containing the correct cuisine types ('italian', 'asian', and 'american').

Using the method shown in the video, return all of the unique values for the cuisine_type column of restaurants.

Exercise

Remapping categories II

Instructions 1/4