Problem 4.2 A distance matrix, which has many applications (e.g., GIS, graph theory), is a two-dimensional array that contains the pairwise distances between two elements (i.e., dist[1, 2] would be the distance between the 2nd and 3rd elements). Calculate the distance matrix for the cities below if you know their distance to one of them, using Numpy functions. ]: dist2barcelona = {'Barcelona': 0, 'Berlin': 1498, Brussels': 1063, Bucharest': 1968, 'Budapest': 1498, "Copenhagen': 1758, 'Dublin': 1469, "Hamburg': 1472, 'Istanbul': 2230, 'Kiev': 2391, 'London': 1138, 'Madrid': 505, 'Milan': 725, 'Moscow': 3007, 'Munich': 1055, 'Paris': 833, 'Prague': 1354, 'Rome': 857, Saint Petersburg': 2813, 'Stockholm': 2277, 'Vienna': 1347, 'Warsaw': 1862} ]: Problem 4.2 A distance matrix, which has many applications (e.g., GIS, graph theory), is a two-dimensional array that contains the pairwise distances between two elements (i.e., dist[1, 2] would be the distance between the 2nd and 3rd elements). Calculate the distance matrix for the cities below if you know their distance to one of them, using Numpy functions. ]: dist2barcelona = {'Barcelona': 0, 'Berlin': 1498, Brussels': 1063, Bucharest': 1968, 'Budapest': 1498, "Copenhagen': 1758, 'Dublin': 1469, "Hamburg': 1472, 'Istanbul': 2230, 'Kiev': 2391, 'London': 1138, 'Madrid': 505, 'Milan': 725, 'Moscow': 3007, 'Munich': 1055, 'Paris': 833, 'Prague': 1354, 'Rome': 857, Saint Petersburg': 2813, 'Stockholm': 2277, 'Vienna': 1347, 'Warsaw': 1862} ]