Can't really export a list from a notebook and this is intentional. The quantopian data providers don't allow for redistribution of their data (otherwise you could export all the morningstar data every day and post it somewhere). However, it does work pretty well to highlight the cells in a returned dataframe, copy, and then paste them into a spreadsheet. I use Mac Numbers and it formats fine. I assume Excel would do the same.
If you want to see more than 5 records at a time either 1) include the number of records you want. For example '.head(20)' returns the top 20 rows. The '.head' method defaults to 5 if no number is given. Or 2) don't use the head method. Instead of 'my_data_frame.head(20)' simply type 'my_data_frame'. That will print the whole dataframe up to some limit. If there are too many rows it prints the first AND the last bunch of rows. Good when looking at sorted lists to see largest and smallest values at once.
Rather than filtering by 'over_leverage' you may want to remove that filter and add another factor called 'leverage'. That way the resulting pipeline output dataframe will have a column with the actual leverage value. You can then sort by that value and see what companies are being returned.
I've attached your notebook with some of those changes. I didn't comment it but you should get the picture.
As an aside, I'm a fan of the '.query' method (http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.query.html). Statements like this are very readable in my mind...
result.query('leverage > 1 & leverage < 1.1').sort_values('leverage', ascending = False)
A nice way to slice and dice the dataframe.
