that code will go ahead and correlate given column with every other column in the dataframeand compute the correlation scores and give that back to us sowhat we're doing here is using dpssxjui on the entire npwjf bujoht dataframethat' that entire matrix of user movie ratingscorrelating it with just the tubs bst bujoht columnand then dropping all of the missing results with espqob sothat just leaves us with items that had correlationwhere there was more than one person that viewed itand we create new dataframe based on those results and then display the top results so againjust to recap we're going to build the correlation score between star wars and every other movie drop all the /bvaluesso that we only have movie similarities that actually existwhere more than one person rated it andwe're going to construct new dataframe from the results and look at the top results and here we are with the results shown in the following screenshot