Help filtering overall best result for each party in dataframe Repeat Question $1$a$.$ However, this time, your result should be a DataFrame called best$\_$result that shows the overall best

result for each party AND includes columns with the corresponding Year, Candidate, Popular Vote and Result.

This question is trickier than Question $1$a$.$ Make sure to check the lecture slides if you're stuck! It's very easy to make a subtle

mistake that shows Woodrow Wilson and Howard Taft both winning the $2020$ election.

Sort in descending order according to the best result.

For example, the first $3$ rows of your table should be:

Note that the index is Party. In other words, don't use

grouped$\_$data $=$ elections.groupby$(["$Party$",$ "Year", "Candidate", "Popular vote", "Result"$]).$agg$(\{\text{'}\%\text{'}$: 'max'$\})$

filtered$\_$data $=$ grouped$\_$data.loc$[$lambda x: x$[\text{'}\%\text{'}]>=10]$

best$\_$result $=$ filtered$\_$data.sort$\_$values by $={?}^{\text{'}}\%\text{'},$ ascending$=$False$)$

# put your code above this line

best$\_$result