Part 3 This purt is worth 2 points Cand is definitely the hardest part... Final y, we want o know where the atoms settle et s nd out where in our beaker the atoms are he de ses his is a computationally dificult problem. 0 ?? to solve this problem exist but our approach is goung to be the na ve approach: e're going to scan through all squares in the grid and count the number of atoms that are contained within the arca of the square Once we've identified the area with the highest density, we'Te going to mark that spot on the plot by druwing a ectnngls Add anorher new function: def highlight dense region(atoms, width: This function will find the width x width square with the highest number of atoms. It will highlight the region on a matplotlib plot. width: the width of one side of the square pass Modify your function plot atons to call highlight denae region ater adding the atoms, but before writing out the file. Here's a sample plot highlighting the densest region: Atoms in a beaker 10.0 7.5 5.0 2.5 0.0 -2.5 -5.0 -10.0 10 -5 10 Part 3 This purt is worth 2 points Cand is definitely the hardest part... Final y, we want o know where the atoms settle et s nd out where in our beaker the atoms are he de ses his is a computationally dificult problem. 0 ?? to solve this problem exist but our approach is goung to be the na ve approach: e're going to scan through all squares in the grid and count the number of atoms that are contained within the arca of the square Once we've identified the area with the highest density, we'Te going to mark that spot on the plot by druwing a ectnngls Add anorher new function: def highlight dense region(atoms, width: This function will find the width x width square with the highest number of atoms. It will highlight the region on a matplotlib plot. width: the width of one side of the square pass Modify your function plot atons to call highlight denae region ater adding the atoms, but before writing out the file. Here's a sample plot highlighting the densest region: Atoms in a beaker 10.0 7.5 5.0 2.5 0.0 -2.5 -5.0 -10.0 10 -5 10