最近我在测试sentdex的机器学习代码时，遇到了如下的错误：

Traceback (most recent call last):File "C:\Users\---\Desktop\Images\Foundations Picture\imagerecognition (1).py", line 61, in whatNumIsThisloadExamps = open('numArEx.txt','r').read()IOError: [Errno 2] No such file or directory: 'numArEx.txt'

至于我的代码，编写如下：

from PIL import Imageimport numpy as npimport matplotlib.pyplot as pltimport time#check if it worksfrom collections import Counterdef createExamples():     #下面，文件会在运行脚本后自动创建     numberArrayExamples = open('numArEx.txt','a')     #不同的疾病     numbersWeHave = range(0,7)     #同一种疾病的不同图片     versionsWeHave = range(1,4)     #在目录中创建示例文件        for eachNum in numbersWeHave:        for eachVer in versionsWeHave:            #print str(eachNum)+'.'+str(eachVer)             imgfilePath = ''+str(eachNum)+'.'+str(eachVer)+'.png'            ei = Image.open(imgFilePath)            eiar = np.array(ei)            eiar1 = str(eiar.tolist())            lineToWrite = str(eachNum)+'::'+eiar1+'\n'            numberArrayExamples.write(lineToWrite)#将数组转换为黑白def threshold(imageArray):    balanceAr = []    newAr = imageArray    #对于每种颜色，将较亮的颜色变为白色，较暗的颜色变为黑色。    for eachRow in imageArray:        for eachPix in eachRow:            avgNum = reduce(lambda x, y: x + y, eachPix[:3])/len(eachPix[:3])            balanceAr.append(avgNum)     balance = reduce(lambda x, y: x + y, balanceAr/len(balanceAr))     #改变颜色    for eachRow in newAr:         for eachPix in eachRow:            if reduce(lambda x, y: x + y, eachPix[:3])/len(eachPix[:3]) > balance:                eachPix[0] = 255                eachPix[1] = 255                eachPix[2] = 255                eachPix[3] = 255            else:                eachPix[0] = 0                eachPix[0] = 0                eachPix[0] = 0                eachPix[0] = 255    return newAr#模式识别。它比较图片   def whatNumIsThis(filePath):     matchAr = []    loadExamps = open('numArEx.txt','r').read()    loadExamps = loadExamps.split('\n')    i = Image.open(filePath)    iar = np.array(i)    iarl = iar.tolist()    inQuestion = str(iarl)    for eachExample in loadExamps:        if len(eachExample) > 3:            splitEx = eachExample.split('::')            currentNum = splitEx[0]            currentAr = splitEx[1]            eachPixEx = currentAr.split('],')            eachPixInQ = inQuestion.split('],')            x = 0            while x < len(eachPixEx):                if eachPixEx[x] == eachPixInQ[x]:                    matchedAr.append(int(currentNum))                x += 1    print matchedAr    x = Counter(matchedAr)    print x    graphX = []    graphY = []    for eachThing in x:        print eachThing        graphX.append(eachThing)        print x[eachThing]        graphY.append(x[eachThing])    fig = plt.figure()    ax1 = plt.subplot2grid((4,4),(0,0), rowspan=1, colspan=4)    ax2 = plt.subplot2grid((4,4),(1,0), rowspan=3, colspan=4)    ax1.imshow(iar)    ax2.bar(graphX,graphY, align='center')    #将y轴限制在400    plt.ylim(400)    xloc = plt.MaxNLocator(12)    ax2.xaxis.set_major_locator(xloc)#在这里导入图片whatNumIsThis('Foundations Picture/0.1.png')

当我阅读此代码的指南时，它说newArEx.txt文件应该会自动创建，所以我对为什么会出现这个错误感到困惑。能有人解释一下吗？谢谢。

回答：

你要求它加载txt文件，但你还没有创建它。你需要先运行createExamples()。然后你才能运行whatNumIsThis()。另外，你的缩进仍然有问题。在createExamples()中，你命名的变量是imgfilePath，但你调用的是imgFilePath。