Session Ready
Exercise

Slicing rows

The Pennsylvania US election results data set that you have been using so far is ordered by county name. This means that county names can be sliced alphabetically. In this exercise, you're going to perform slicing on the county names of the election DataFrame from the previous exercises, which has been pre-loaded for you.

Instructions
100 XP
  • Slice the row labels 'Perry' to 'Potter' and assign the output to p_counties.
  • Print the p_counties DataFrame. This has been done for you.
  • Slice the row labels 'Potter' to 'Perry' in reverse order. To do this for hypothetical row labels 'a' and 'b', you could use a stepsize of -1 like so: df.loc['b':'a':-1].
  • Print the p_counties_rev DataFrame. This has also been done for you, so hit 'Submit Answer' to see the result of your slicing!
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