用Python把py文件中的行数删除掉
可恶的我用福晰阅读器打开了机器学习电子书，把代码复制了下来，准备运行。但是每行代码前都有行数。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数删除掉才可以运行。
上网找到了Python打开文件的方法，把文件内容读取为str格式，找出有换行符\n的地方，到达空格' '前的数字都删除掉。
新建一个文件：RmvLineCnt.py
# -*- coding: cp936 -*-
import os as os
path1 = "E:\FENG\workspace_python"
files= os.listdir(path1)
for file in files: #遍历文件夹
if not os.path.isdir(file): #判断是否是文件夹，不是文件夹才打开
f = os.path.basename(file)
#print "",f #打印结果
#outfile.write(""+f+"\n")
#paths="textdata/"+f
paths = "E:\FENG\workspace_python\keras_cifar10.py"
infile = open(paths,"r") #读取文件
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='0')&(text[i+1]<='9'):
Index = i
while(Index 测试代码前记得把keras_cifar10.py源文件备份一次。再用本程序操作文件。
代码在Xp 32bit ，python 2.7.15测试通过。
结果keras_cifar10.py的文件变成了以下：
# 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删除行数了……