minepy、treePlotter导包的问题

当学习最大信息系数时我们需要导minepy，用pip install minepy 时报错

解决方法：进入官网Unofficial Windows Binaries for Python Extension Packages，这个网站包含了很多Python扩展包的非官方Windows二进制文件，根据你的windows版本和python版本选择下载对应的minepy.whl文件。将Anaconda prompt切换到安装包当前minepy.whl所在路径，执行pip install minepy-1.2.2-cp37-cp37m-win_amd64.whl即可完成minepy的安装。其他包安装不了也可以类似操作。

机器学习中一些树的绘制需要用到treePlotter，一开始以为它是个包导了几次还是显示未安装，后面发现它是一系列函数组成的自定义模块。

解决方法：新建一个python包，在新建的包中的__init__文件中复制以下代码：

import matplotlib.pyplot as plt
 
 
"""绘决策树的函数"""
decisionNode = dict(boxstyle="sawtooth", fc="0.8")  # 定义分支点的样式
leafNode = dict(boxstyle="round4", fc="0.8")  # 定义叶节点的样式
arrow_args = dict(arrowstyle="<-")  # 定义箭头标识样式
 
 
# 计算树的叶子节点数量
def getNumLeafs(myTree):
   numLeafs = 0
   firstStr = list(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
 
 
# 计算树的最大深度
def getTreeDepth(myTree):
   maxDepth = 0
   firstStr = list(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
 
 
# 画出节点
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)
 
 
# 标箭头上的文字
def plotMidText(cntrPt, parentPt, txtString):
   lens = len(txtString)
   xMid = (parentPt[0] + cntrPt[0]) / 2.0 - lens * 0.002
   yMid = (parentPt[1] + cntrPt[1]) / 2.0
   createPlot.ax1.text(xMid, yMid, txtString)
 
 
def plotTree(myTree, parentPt, nodeTxt):
   numLeafs = getNumLeafs(myTree)
   depth = getTreeDepth(myTree)
   firstStr = list(myTree.keys())[0]
   cntrPt = (plotTree.x0ff + 
             (1.0 + float(numLeafs)) / 2.0 / plotTree.totalW, plotTree.y0ff)
   plotMidText(cntrPt, parentPt, nodeTxt)
   plotNode(firstStr, cntrPt, parentPt, decisionNode)
   secondDict = myTree[firstStr]
   plotTree.y0ff = plotTree.y0ff - 1.0 / plotTree.totalD
   for key in secondDict.keys():
      if type(secondDict[key]).__name__ == 'dict':
         plotTree(secondDict[key], cntrPt, str(key))
      else:
         plotTree.x0ff = plotTree.x0ff + 1.0 / plotTree.totalW
         plotNode(secondDict[key], 
                  (plotTree.x0ff, plotTree.y0ff), cntrPt, leafNode)
         plotMidText((plotTree.x0ff, plotTree.y0ff) 
                     , cntrPt, str(key))
   plotTree.y0ff = plotTree.y0ff + 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.x0ff = -0.5 / plotTree.totalW
   plotTree.y0ff = 1.0
   plotTree(inTree, (0.5, 1.0), '')
   plt.show()
 
if __name__=='__main__':
    createPlot()

需要时直接import这个包即可。
可以参考:https://blog.csdn.net/pwc1996/article/details/52577148