# TODO 1: Use iloc, loc, or square brackets [to slice the "area" column]. Put the output into the area values variable.   # TODO 1 area_values = display(area_values) todo_check([ (area_values.shape == (517,),'area_values shape did not match (517,)'), (np.all(area_values.values[-10:] == np.array([0. ,0. ,2.17,0.43,0. ,6.44,54.29,11.16,0. ,0. ])),'area_values did not contain the correct values!') ]) Expected Output:

Write a loop snippet (just a piece of code, not the whole program) that will sum every third element in a 1D array.  The size of the array is held in the variable MAX.  You will start with the first element in the array.  The name of the array is testarray.

3. Which among the following shows a valid use of the Direction enumeration as a parameter to the moveCharacter function? Select al that apply. enum Direction {  case north, south, west, east}func moveCharacter(x: Int, y: Int, facing: Direction) {// code here}   moveCharacter(x: 0, y: 0, facing: .southwest)   moveCharacter(x: 0, y: 0, facing: Direction.north)   moveCharacter(x: 0, y: 0, facing: .south)   moveCharacter(x: 0, y: 0, facing: Direction.northeast)

text file 80 1 2 3 100 100 100 1001 0 2 100 3 4 100 1002 2 0 4 4 100 5 1003 100 4 0 100 100 4 100100 3 4 100 0 3 3 3100 4 100 100 3 0 100 1100 100 5 4 3 100 0 2100 100 100 100 3 1 2 0 My code below. I am getting an error when trying to create my adjacency matrix. i dont know what i am doing wrong def readMatrix(inputfilename):    ''' Returns a two-dimentional array created from the data in the given file.            Pre:  'inputfilename' is the name of a text file whose first row contains the            number of vertices in a graph and whose subsequent rows contain the rows of            the adjacency matrix of the graph. '''        # Open the file    f = open(inputfilename, 'r')     # Read the number of vertices from the first line of the file    n = int(f.readline().strip())     # Read the rest of the file stripping off the newline characters and splitting it into    # a list of intger values    rest = f.read().strip().split()         # Create the adjacency matrix    adjMat = []…