def test_showQ(self):
import matplotlib.pyplot as plt
import time
print "---------- DisplayTreeTest ----------"
#plt.figure(self.fig_values.number)
maxLevel=2
no1dN = []
points = numpy.array([[0.0, 0.0], [0.0, 1.0], [ 1.0, 0.0], [1.0, 1.0]])
util.splitN(points, 0, 0, maxLevel, no1dN)
tree = kdtree.createNewTree(no1dN)
numberOfStates= tree.getHighestNodeId
numberOfActions = 4
kdtree.visualize(tree)
Q = numpy.ones((100,numberOfActions))
n = tree.get_path_to_best_matching_node([0.75, 0.75])[-1]
print n.label
n.split2([0.85, 0.75], axis=0, sel_axis = (lambda axis: axis))
kdtree.visualize(tree)
# only leaves are shown!
# States are positioned like in the tree i.e. xy axes splits in tree represent xy position in coord system
# 0, 0 is bottom left, x increases to the right
# action 0 is to the left
# Q[State][action]
Q[3][0] = 0 # bottom left, action left
# Q[5][1] = 0.1 # above Q[2] (in y direction), right
# Q[58][2] = 0.1 #right top corner, down
# Q[4][0] = 0.5
kdtree.plotQ2D(tree, min_coord=[0, 0], max_coord=[1, 1],Values = Q, plt=plt, plot="Q")
time.sleep(5)
def plotQ2D(self, min_coord=[0, 0], max_coord=[1, 1], Values=numpy.empty((0,0)), plot="V", path_savefig=None):
plt.figure(self.fig.number)
kdtree.plotQ2D(self.tree, min_coord=min_coord, max_coord=max_coord, plt=plt, Values=Values, path_savefig=path_savefig)
# ax.set_xlim(-2,2) # ax.set_ylim(-2,2) # plt.show() no2dN = [] points = numpy.array([[0.0, 0.0], [0.0, 1.0], [ 1.0, 0.0], [1.0, 1.0]]) util.splitN(points, 0, 0, 6, no2dN) tree2dN = kdtree.create(no2dN) util.activate(tree2dN, 4) kdtree.visualize(tree2dN) V = numpy.random.rand(len(no2dN),1) kdtree.plotQ2D(tree2dN, Values=V) #kdtree.plot2D(tree2dN) #kdtree.plot2DUpdate(tree2dN) # # # no3dN_test = [] # points = numpy.array([[0.0, 0.0, 0.0],[0.0 , 0.0, 1.0], [ 0.0, 1.0, 0.0], [ 0.0, 1.0, 1.0], [1.0, 0.0, 0.0], [1.0, 0.0, 1.0], [1.0, 1.0, 0.0], [1.0, 1.0, 1.0]]) # splitN_test(points, 0,0,7, no3dN_test) # # assert all(x in no3dN_test for x in no3dN), "NOT EQUAL !!!" #kdtree.plot2D(tree)
