How to match the positions of two columns?

Hey everyone, I sometimes encounter a problem where I need to find the positions where values of two columns match in Pandas. To solve this issue, I discovered a method in Pandas called loc() which uses boolean indexing to create a mask that is True where values of columns A and B match, and then uses the loc method to select the rows where the mask is True. Here is an example of the code that I used to accomplish this:

Is it possible to use different methods or functions to accomplish this task?

Yes, there are alternative methods to achieve this task. One way is to use the query method, which compares the columns A and B using a string expression. Here is an example of how to use it:

The query method returns a dataframe containing only the rows where the expression is True. The indices of these rows can then be extracted using the index attribute.