In pandas, the `pivot()` function is used to reshape the DataFrame. It allows you to turn unique values from one column into multiple columns in the new DataFrame. Other options such as `dropna()`, `sort()`, and `merge()` serve different purposes (dropping missing values, sorting, and merging datasets, respectively), but they do not reshape the data as `pivot()` does.
Therefore, the correct answer is "pivot()".