可惡的我用福晰閱讀器打開了機器學習電子書，把程式碼複製了下來，準備執行。但是每行程式碼前都有行數。如下：

1 # import the necessary packages
2 from sklearn.preprocessing import LabelBinarizer
3 from sklearn.metrics import classification_report
4 from keras.models import Sequential
5 from keras.layers.core import Dense
6 from keras.optimizers import SGD
7 from keras.datasets import cifar10
8 import matplotlib.pyplot as plt
9 import numpy as np
10 import argparse

# construct the argument parse and parse the arguments
17 ap = argparse.ArgumentParser()
18 ap.add_argument("-o", "--output", required=True,
19 help="path to the output loss/accuracy plot")
20 args = vars(ap.parse_args())

# load the training and testing data, scale it into the range [0, 1],
19 # then reshape the design matrix


# ...
 

因此需要把前面的行數刪除掉才可以執行。

上網找到了Python開啟檔案的方法，把檔案內容讀取為str格式，找出有換行符\n的地方，到達空格' '前的數字都刪除掉。

新建一個檔案：RmvLineCnt.py

# -*- coding: cp936 -*-
import os as os

path1 = "E:\FENG\workspace_python"
files= os.listdir(path1)

for file in files: #遍歷資料夾
    if not os.path.isdir(file): #判斷是否是資料夾，不是資料夾才打開
        f = os.path.basename(file)
        #print "",f #列印結果

#outfile.write(""+f+"\n")
#paths="textdata/"+f

paths =  "E:\FENG\workspace_python\keras_cifar10.py"

infile = open(paths,"r")        #讀取檔案
text = infile.read()
infile.close( )

#print text

textBefore = text
Index = 0
for i in range(0, len(text)):
    if i+1 >=len(text):
        break
    if (i==0)&(text[i]>='0')&(text[i]<='9'):
        Index = i
        while(Index<len(text)):
            Index = Index + 1
            if text[Index]==' ':
                text = text[Index+1:len(text)]      #刪除開頭的數字
                break
        
    if (text[i] == '\n')&(text[i+1]>='0')&(text[i+1]<='9'):
        Index = i
        while(Index<len(text)):
            Index = Index + 1
            if text[Index]==' ':
                text = text[0:i+1] + text[Index+1:len(text)]    #字串拼接
                break
            
file_object = open('keras_cifar10.py', 'w')
file_object.write(text)
file_object.close( )
 

測試程式碼前記得把keras_cifar10.py原始檔備份一次。再用本程式操作檔案。

程式碼在Xp 32bit ，python 2.7.15測試通過。

結果keras_cifar10.py的檔案變成了以下：

# import the necessary packages
from sklearn.preprocessing import LabelBinarizer
from sklearn.metrics import classification_report
from keras.models import Sequential
from keras.layers.core import Dense
from keras.optimizers import SGD
from keras.datasets import cifar10
import matplotlib.pyplot as plt
import numpy as np
import argparse

# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-o", "--output", required=True,
help="path to the output loss/accuracy plot")
args = vars(ap.parse_args())

# load the training and testing data, scale it into the range [0, 1],
# then reshape the design matrix
 

下次再也不用一行一行的刪除行數了……