nargs='?',
default=10)
p.add_argument("-p",
"--maxpoints",
help="the maximum number of points in each area (required)",
type=int,
required=True)
p.add_argument("-u",
"--upper",
help="upper left point (required)",
type=float,
nargs=2,
metavar=('X', 'Y'),
required=True)
p.add_argument("-l",
"--lower",
help="loewr right point (required)",
type=float,
nargs=2,
metavar=('X', 'Y'),
required=True)
args = p.parse_args()
X = read_data(args.infile)
qtree = Quadtree(args.upper[0], args.upper[1], args.lower[0], args.lower[1],
args.maxpoints, args.maxdepth)
qtree.fit(X)
pickle.dump(qtree, args.outfile)
