在绘图中要用到matplotlib这个库文件。
其中里面要用到的subplot(),annotate(),
subplot(nrows, ncols, plot_number) #表示行列以及当前的是第几个图形,frameon表示是否有边框
画出带箭头的注释:
annotate(s, xy, xytext=None, xycoords='data',textcoords='data', arrowprops=None, **kwargs)
绘图如下:
决策树绘图的代码:
import matplotlib.pyplot as plt
#定义文本框和箭头格式
decisionNode = dict(boxstyle="sawtooth",fc='0.8')#定义判断结点形态
leafNode = dict(boxstyle="round4",fc="0.8")#定义叶结点形态
arrow_args = dict(arrowstyle="<-")#定义箭头
#绘制带箭头的注释
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)
#计算叶结点数
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
#计算树的层数
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
#在父子结点间填充文本信息
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,va="center",ha="center",rotation=30)
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)#在父子结点间填充文本信息
plotNode(firstStr,cntrPt,parentPt,decisionNode)#绘制带箭头的注释
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()
</pre><pre name="code" class="python">