Using python and either melt() or pivot()

Q4 Consider the file ratings.csv . It has columns for first name, last name, RatingA , used for rating a particular restaurant (A), and RatingB , used for rating a different restaurant (B). We want the name of a "rater" should be a single variable (a string with first name, a space, and then last name). The particular restaurants ( A and B ) are values of the data set. Transform the given dataset into a tidy data set, naming it ratings_tidy. Do not give the new data set a row label index. You need not print the result. Note that this question involves both transformation and mutations to normalize this data. r_path ratings os. path.join(datadir, 'ratings.csv') pd. read_csv(r_path) ratings First Last RatingA RatingB 0 Hamid Hirst 73 52 1 Tanya Hale 57 72 2 Wei Chang 85 69