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Treeplot
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Treeplot
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#coding:utf-8
import matplotlib.pyplot as plt
from pylab import mpl
mpl.reRarams['font.sans-serif']=['SimHei']
decisionNode=dict(boxstyle='sawtooth',fc='0.8')
eafNode = 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 getNumLeafs(myTree):
numLeafs=0
firstStr=list(myTree.keys())[0]
secondDic=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=list(myTree.keys())[0]
secondDic=myTree[firstStr]
for key in secondDict.keys():
if type(secondDict[key]).__name__=='dict':
thisDepth=getTreeDepth(secondDict[key])+1
else:
thisDepth=1
if thisDepth>maxDepth:
maxDepth=thisDepth
return maxDepth
def plotMidText(cntrPt,parentPt,txtString):
xMid=(parentPt[0]-cntrPt[0])/2.0+cntrPt[0]
yMid=(parentPt[1]-cntrPt[1])/2.0+cntrPt[1]
creatPlot.axl.text(xMid,yMid,txtString)
def plotTree(myTree,parentPt,nodeTxt):
numLeafs=getNumLeafs(myTree)
depth=getTreeDepth(myTree)
firstStr=list(myTree.keys())[0]
cntrPt=(plotTree.xOff+(1.0+float(numLeafs))/2.0/plotTree.totallw,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
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()
#ID3决策树
def ID3_Tree(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.title("ID3决策树",fontsize=12,color='red')
plt.show()
#C4.5决策树
def C45_Tree(inTree):
fig = plt.figure(2, 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.title("C4.5决策树",fontsize=12,color='red')
plt.show()
#CART决策树
def CART_Tree(inTree):
fig = plt.figure(3, 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.title("CART决策树",fontsize=12,color='red')
plt.show()