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in this video were going to learn how to select columns in a pandas data frame based on a logical condition across the values of the columns so for instance what if we were only interested in looking at columns of this data set where the average value of the column was greater than a certain number for maybe were just not interested in columns that tend to have low values well we could do that using a logical indexing operation over the columns so in that case lets say we wanted to get only columns where the average of that column was greater than 10. we could do that with a logical indexing operation what we want to do is start by finding the column means so we can do that by passing in data frame dot mean and were going to say we want the columns where the mean of that column is greater than 10 and well just store this as logical index and now we can see that we have a logical index here where every column has a true false value assigned to it based on whether this was true or