# coding=utf-8
import matplotlib.pyplot as plt
decisionNode = dict(boxstyle = "sawtooth",fc ="0.8")
leafNode = dict(boxstyle = "round4" ,fc = "0.8")
arrow_args = dict(arrowstyle="<-")
def plotNode(nodeTxt,centerPt,parentPt,nodeType):
	createPlot.ax1.annotate(nodeTxt,xy=parentPt,xycoords = 'axes fraction',xytext =centerPt,textcoords = 'axes fraction',va = 'center',ha = 'center',bbox = nodeType,arrowprops =arrow_args)
def createPlot(inTree):
	fig = plt.figure(1,facecolor='white')
	fig.clf()
	axprops = dict(xticks = [],yticks=[])
	createPlot.ax1 = plt.subplot(111,frameon=False,**axprops)
	plotTree.totalW = float(getNumLeafs(inTree))
	plotTree.totalD = float(getTreeDepth(inTree))
	plotTree.xOff = -0.5/plotTree.totalW;plotTree.yOff =1.0
	plotTree(inTree,(0.5,1.0),'')
	plt.show()
def getNumLeafs(myTree):
	numLeafs = 0
	firstStr = myTree.keys()[0]
	secondDict = myTree[firstStr]
	for key in secondDict.keys():
		if type (secondDict[key]).__name__=='dict':
			numLeafs += getNumLeafs(secondDict[key])
		else: numLeafs += 1
	return numLeafs
def getTreeDepth(myTree):
	maxDepth = 0
	firstStr = myTree.keys()[0]
	secondDict = myTree[firstStr]
	for key in secondDict.keys():
		if type(secondDict[key]).__name__=='dict':
			thisDepth = 1 + getTreeDepth(secondDict[key])
		else: thisDepth = 1
		if thisDepth >maxDepth:maxDepth =thisDepth
	return maxDepth
def retrieveTree(i):
	listOfTrees = [{'no surfacing':{0:'no',1:{'flippers':{0:'no',1:'yes'}}}},{'no surfacing':{0:'no',1:{'flippers':{0:{'head':{0:'no',1:'yes'}},1:'no'}}}}]
	return listOfTrees[i]
def plotMidText(cntrPt,parentPt,txtString):
	xMid = (parentPt[0] - cntrPt[0])/2.0 + cntrPt[0]
	yMid = (parentPt[1]-cntrPt[1])/2.0+cntrPt[1]
	createPlot.ax1.text(xMid,yMid,txtString)
def plotTree(myTree,parentPt,nodeTxt):
	numLeafs = getNumLeafs(myTree)
	depth = getTreeDepth(myTree)
	firstStr = myTree.keys()[0]
	cntrPt = (plotTree.xOff +(1.0 + float(numLeafs))/2.0/plotTree.totalW,plotTree.yOff)
	plotMidText(cntrPt,parentPt,nodeTxt)
	plotNode(firstStr,cntrPt,parentPt,decisionNode)
	secondDict =myTree[firstStr]
	plotTree.yOff = plotTree.yOff - 1.0/plotTree.totalD
	for key in secondDict.keys():
		if type(secondDict[key]).__name__=='dict':
			plotTree(secondDict[key],cntrPt,str(key))
		else:
			plotTree.xOff = plotTree.xOff + 1.0/plotTree.totalW
			plotNode(secondDict[key],(plotTree.xOff,plotTree.yOff),cntrPt,leafNode)
			plotMidText((plotTree.xOff,plotTree.yOff),cntrPt,str(key))
	plotTree.yOff = plotTree.yOff + 1.0/plotTree.totalD


ca6307623ae3e8f7d2cca385cdd3cece889824bc
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def getNumLeafs(myTree):
    numLeafs = 0
    firstStr = myTree.keys()[0]
    secondDict = myTree[firstStr]
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            numLeafs += getNumLeafs(secondDict[key])
        else:
            numLeafs += 1
    return numLeafs


def getTreeDepth(myTree):
    maxDepth = 0
    firstStr = myTree.keys()[0]
    secondDict = myTree[firstStr]
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            thisDepth = 1 + getTreeDepth(secondDict[key])
        else:
            thisDepth = 1
        if thisDepth > maxDepth:
            maxDepth = thisDepth
    return maxDepth


def retrieveTree(i):
    listOfTrees = [{'no surfacing': {(0): 'no', (1): {'flippers': {(0):
        'no', (1): 'yes'}}}}, {'no surfacing': {(0): 'no', (1): {'flippers':
        {(0): {'head': {(0): 'no', (1): 'yes'}}, (1): 'no'}}}}]
    return listOfTrees[i]


def plotMidText(cntrPt, parentPt, txtString):
    xMid = (parentPt[0] - cntrPt[0]) / 2.0 + cntrPt[0]
    yMid = (parentPt[1] - cntrPt[1]) / 2.0 + cntrPt[1]
    createPlot.ax1.text(xMid, yMid, txtString)


def plotTree(myTree, parentPt, nodeTxt):
    numLeafs = getNumLeafs(myTree)
    depth = getTreeDepth(myTree)
    firstStr = myTree.keys()[0]
    cntrPt = plotTree.xOff + (1.0 + float(numLeafs)
        ) / 2.0 / plotTree.totalW, plotTree.yOff
    plotMidText(cntrPt, parentPt, nodeTxt)
    plotNode(firstStr, cntrPt, parentPt, decisionNode)
    secondDict = myTree[firstStr]
    plotTree.yOff = plotTree.yOff - 1.0 / plotTree.totalD
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            plotTree(secondDict[key], cntrPt, str(key))
        else:
            plotTree.xOff = plotTree.xOff + 1.0 / plotTree.totalW
            plotNode(secondDict[key], (plotTree.xOff, plotTree.yOff),
                cntrPt, leafNode)
            plotMidText((plotTree.xOff, plotTree.yOff), cntrPt, str(key))
    plotTree.yOff = plotTree.yOff + 1.0 / plotTree.totalD

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def plotNode(nodeTxt, centerPt, parentPt, nodeType):
    createPlot.ax1.annotate(nodeTxt, xy=parentPt, xycoords='axes fraction',
        xytext=centerPt, textcoords='axes fraction', va='center', ha=
        'center', bbox=nodeType, arrowprops=arrow_args)


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def getNumLeafs(myTree):
    numLeafs = 0
    firstStr = myTree.keys()[0]
    secondDict = myTree[firstStr]
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            numLeafs += getNumLeafs(secondDict[key])
        else:
            numLeafs += 1
    return numLeafs


def getTreeDepth(myTree):
    maxDepth = 0
    firstStr = myTree.keys()[0]
    secondDict = myTree[firstStr]
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            thisDepth = 1 + getTreeDepth(secondDict[key])
        else:
            thisDepth = 1
        if thisDepth > maxDepth:
            maxDepth = thisDepth
    return maxDepth


def retrieveTree(i):
    listOfTrees = [{'no surfacing': {(0): 'no', (1): {'flippers': {(0):
        'no', (1): 'yes'}}}}, {'no surfacing': {(0): 'no', (1): {'flippers':
        {(0): {'head': {(0): 'no', (1): 'yes'}}, (1): 'no'}}}}]
    return listOfTrees[i]


def plotMidText(cntrPt, parentPt, txtString):
    xMid = (parentPt[0] - cntrPt[0]) / 2.0 + cntrPt[0]
    yMid = (parentPt[1] - cntrPt[1]) / 2.0 + cntrPt[1]
    createPlot.ax1.text(xMid, yMid, txtString)


def plotTree(myTree, parentPt, nodeTxt):
    numLeafs = getNumLeafs(myTree)
    depth = getTreeDepth(myTree)
    firstStr = myTree.keys()[0]
    cntrPt = plotTree.xOff + (1.0 + float(numLeafs)
        ) / 2.0 / plotTree.totalW, plotTree.yOff
    plotMidText(cntrPt, parentPt, nodeTxt)
    plotNode(firstStr, cntrPt, parentPt, decisionNode)
    secondDict = myTree[firstStr]
    plotTree.yOff = plotTree.yOff - 1.0 / plotTree.totalD
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            plotTree(secondDict[key], cntrPt, str(key))
        else:
            plotTree.xOff = plotTree.xOff + 1.0 / plotTree.totalW
            plotNode(secondDict[key], (plotTree.xOff, plotTree.yOff),
                cntrPt, leafNode)
            plotMidText((plotTree.xOff, plotTree.yOff), cntrPt, str(key))
    plotTree.yOff = plotTree.yOff + 1.0 / plotTree.totalD

<mask token>


def plotNode(nodeTxt, centerPt, parentPt, nodeType):
    createPlot.ax1.annotate(nodeTxt, xy=parentPt, xycoords='axes fraction',
        xytext=centerPt, textcoords='axes fraction', va='center', ha=
        'center', bbox=nodeType, arrowprops=arrow_args)


def createPlot(inTree):
    fig = plt.figure(1, facecolor='white')
    fig.clf()
    axprops = dict(xticks=[], yticks=[])
    createPlot.ax1 = plt.subplot(111, frameon=False, **axprops)
    plotTree.totalW = float(getNumLeafs(inTree))
    plotTree.totalD = float(getTreeDepth(inTree))
    plotTree.xOff = -0.5 / plotTree.totalW
    plotTree.yOff = 1.0
    plotTree(inTree, (0.5, 1.0), '')
    plt.show()


def getNumLeafs(myTree):
    numLeafs = 0
    firstStr = myTree.keys()[0]
    secondDict = myTree[firstStr]
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            numLeafs += getNumLeafs(secondDict[key])
        else:
            numLeafs += 1
    return numLeafs


def getTreeDepth(myTree):
    maxDepth = 0
    firstStr = myTree.keys()[0]
    secondDict = myTree[firstStr]
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            thisDepth = 1 + getTreeDepth(secondDict[key])
        else:
            thisDepth = 1
        if thisDepth > maxDepth:
            maxDepth = thisDepth
    return maxDepth


def retrieveTree(i):
    listOfTrees = [{'no surfacing': {(0): 'no', (1): {'flippers': {(0):
        'no', (1): 'yes'}}}}, {'no surfacing': {(0): 'no', (1): {'flippers':
        {(0): {'head': {(0): 'no', (1): 'yes'}}, (1): 'no'}}}}]
    return listOfTrees[i]


def plotMidText(cntrPt, parentPt, txtString):
    xMid = (parentPt[0] - cntrPt[0]) / 2.0 + cntrPt[0]
    yMid = (parentPt[1] - cntrPt[1]) / 2.0 + cntrPt[1]
    createPlot.ax1.text(xMid, yMid, txtString)


def plotTree(myTree, parentPt, nodeTxt):
    numLeafs = getNumLeafs(myTree)
    depth = getTreeDepth(myTree)
    firstStr = myTree.keys()[0]
    cntrPt = plotTree.xOff + (1.0 + float(numLeafs)
        ) / 2.0 / plotTree.totalW, plotTree.yOff
    plotMidText(cntrPt, parentPt, nodeTxt)
    plotNode(firstStr, cntrPt, parentPt, decisionNode)
    secondDict = myTree[firstStr]
    plotTree.yOff = plotTree.yOff - 1.0 / plotTree.totalD
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            plotTree(secondDict[key], cntrPt, str(key))
        else:
            plotTree.xOff = plotTree.xOff + 1.0 / plotTree.totalW
            plotNode(secondDict[key], (plotTree.xOff, plotTree.yOff),
                cntrPt, leafNode)
            plotMidText((plotTree.xOff, plotTree.yOff), cntrPt, str(key))
    plotTree.yOff = plotTree.yOff + 1.0 / plotTree.totalD

import matplotlib.pyplot as plt
decisionNode = dict(boxstyle='sawtooth', fc='0.8')
leafNode = dict(boxstyle='round4', fc='0.8')
arrow_args = dict(arrowstyle='<-')


def plotNode(nodeTxt, centerPt, parentPt, nodeType):
    createPlot.ax1.annotate(nodeTxt, xy=parentPt, xycoords='axes fraction',
        xytext=centerPt, textcoords='axes fraction', va='center', ha=
        'center', bbox=nodeType, arrowprops=arrow_args)


def createPlot(inTree):
    fig = plt.figure(1, facecolor='white')
    fig.clf()
    axprops = dict(xticks=[], yticks=[])
    createPlot.ax1 = plt.subplot(111, frameon=False, **axprops)
    plotTree.totalW = float(getNumLeafs(inTree))
    plotTree.totalD = float(getTreeDepth(inTree))
    plotTree.xOff = -0.5 / plotTree.totalW
    plotTree.yOff = 1.0
    plotTree(inTree, (0.5, 1.0), '')
    plt.show()


def getNumLeafs(myTree):
    numLeafs = 0
    firstStr = myTree.keys()[0]
    secondDict = myTree[firstStr]
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            numLeafs += getNumLeafs(secondDict[key])
        else:
            numLeafs += 1
    return numLeafs


def getTreeDepth(myTree):
    maxDepth = 0
    firstStr = myTree.keys()[0]
    secondDict = myTree[firstStr]
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            thisDepth = 1 + getTreeDepth(secondDict[key])
        else:
            thisDepth = 1
        if thisDepth > maxDepth:
            maxDepth = thisDepth
    return maxDepth


def retrieveTree(i):
    listOfTrees = [{'no surfacing': {(0): 'no', (1): {'flippers': {(0):
        'no', (1): 'yes'}}}}, {'no surfacing': {(0): 'no', (1): {'flippers':
        {(0): {'head': {(0): 'no', (1): 'yes'}}, (1): 'no'}}}}]
    return listOfTrees[i]


def plotMidText(cntrPt, parentPt, txtString):
    xMid = (parentPt[0] - cntrPt[0]) / 2.0 + cntrPt[0]
    yMid = (parentPt[1] - cntrPt[1]) / 2.0 + cntrPt[1]
    createPlot.ax1.text(xMid, yMid, txtString)


def plotTree(myTree, parentPt, nodeTxt):
    numLeafs = getNumLeafs(myTree)
    depth = getTreeDepth(myTree)
    firstStr = myTree.keys()[0]
    cntrPt = plotTree.xOff + (1.0 + float(numLeafs)
        ) / 2.0 / plotTree.totalW, plotTree.yOff
    plotMidText(cntrPt, parentPt, nodeTxt)
    plotNode(firstStr, cntrPt, parentPt, decisionNode)
    secondDict = myTree[firstStr]
    plotTree.yOff = plotTree.yOff - 1.0 / plotTree.totalD
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            plotTree(secondDict[key], cntrPt, str(key))
        else:
            plotTree.xOff = plotTree.xOff + 1.0 / plotTree.totalW
            plotNode(secondDict[key], (plotTree.xOff, plotTree.yOff),
                cntrPt, leafNode)
            plotMidText((plotTree.xOff, plotTree.yOff), cntrPt, str(key))
    plotTree.yOff = plotTree.yOff + 1.0 / plotTree.totalD

# coding=utf-8
import matplotlib.pyplot as plt
decisionNode = dict(boxstyle = "sawtooth",fc ="0.8")
leafNode = dict(boxstyle = "round4" ,fc = "0.8")
arrow_args = dict(arrowstyle="<-")
def plotNode(nodeTxt,centerPt,parentPt,nodeType):
	createPlot.ax1.annotate(nodeTxt,xy=parentPt,xycoords = 'axes fraction',xytext =centerPt,textcoords = 'axes fraction',va = 'center',ha = 'center',bbox = nodeType,arrowprops =arrow_args)
def createPlot(inTree):
	fig = plt.figure(1,facecolor='white')
	fig.clf()
	axprops = dict(xticks = [],yticks=[])
	createPlot.ax1 = plt.subplot(111,frameon=False,**axprops)
	plotTree.totalW = float(getNumLeafs(inTree))
	plotTree.totalD = float(getTreeDepth(inTree))
	plotTree.xOff = -0.5/plotTree.totalW;plotTree.yOff =1.0
	plotTree(inTree,(0.5,1.0),'')
	plt.show()
def getNumLeafs(myTree):
	numLeafs = 0
	firstStr = myTree.keys()[0]
	secondDict = myTree[firstStr]
	for key in secondDict.keys():
		if type (secondDict[key]).__name__=='dict':
			numLeafs += getNumLeafs(secondDict[key])
		else: numLeafs += 1
	return numLeafs
def getTreeDepth(myTree):
	maxDepth = 0
	firstStr = myTree.keys()[0]
	secondDict = myTree[firstStr]
	for key in secondDict.keys():
		if type(secondDict[key]).__name__=='dict':
			thisDepth = 1 + getTreeDepth(secondDict[key])
		else: thisDepth = 1
		if thisDepth >maxDepth:maxDepth =thisDepth
	return maxDepth
def retrieveTree(i):
	listOfTrees = [{'no surfacing':{0:'no',1:{'flippers':{0:'no',1:'yes'}}}},{'no surfacing':{0:'no',1:{'flippers':{0:{'head':{0:'no',1:'yes'}},1:'no'}}}}]
	return listOfTrees[i]
def plotMidText(cntrPt,parentPt,txtString):
	xMid = (parentPt[0] - cntrPt[0])/2.0 + cntrPt[0]
	yMid = (parentPt[1]-cntrPt[1])/2.0+cntrPt[1]
	createPlot.ax1.text(xMid,yMid,txtString)
def plotTree(myTree,parentPt,nodeTxt):
	numLeafs = getNumLeafs(myTree)
	depth = getTreeDepth(myTree)
	firstStr = myTree.keys()[0]
	cntrPt = (plotTree.xOff +(1.0 + float(numLeafs))/2.0/plotTree.totalW,plotTree.yOff)
	plotMidText(cntrPt,parentPt,nodeTxt)
	plotNode(firstStr,cntrPt,parentPt,decisionNode)
	secondDict =myTree[firstStr]
	plotTree.yOff = plotTree.yOff - 1.0/plotTree.totalD
	for key in secondDict.keys():
		if type(secondDict[key]).__name__=='dict':
			plotTree(secondDict[key],cntrPt,str(key))
		else:
			plotTree.xOff = plotTree.xOff + 1.0/plotTree.totalW
			plotNode(secondDict[key],(plotTree.xOff,plotTree.yOff),cntrPt,leafNode)
			plotMidText((plotTree.xOff,plotTree.yOff),cntrPt,str(key))
	plotTree.yOff = plotTree.yOff + 1.0/plotTree.totalD

