Python批量提取txt文件中的特定字符后的数字? python:提取txt文件中特定内容后的数据到excel

Python\u5982\u4f55\u6279\u91cf\u63d0\u53d6txt\u6587\u4ef6\u4e2d\u7684\u6307\u5b9a\u4f4d\u7f6e\u7684\u6570\u5b57

a = 3b = 5with open('foobar.txt', 'r') as fin: for i, line in enumerate(fin): if i == a: print(line[b]) break

\u9996\u5148\uff0c\u4f60\u7684TXT\u6587\u4ef6\u683c\u5f0f\u662f\u5426\u6e05\u6670\uff0c\u5982\u679c\u662f\u7c7b\u4f3c\u8868\u683c\u7684\u8bdd\uff0c\u5047\u5982IPC\u5728\u6bcf\u884c\u7b2c\u4e09\u4e2a\u4f4d\u7f6e\uff0c\u4f60\u53ef\u4ee5\u6309\u884c\u8bfb\u53d6\uff0c\u7136\u540esplit\u526a\u5207\uff0c\u5f97\u5230IPC\u6570\u636e
\u6700\u597d\u628aTXT\u8d34\u4e0a\u6765\u6bd4\u8f83\u597d

2、待读取文件


是以":"作为分隔符的数据,每一行以回车结束。此文件为XXX.train

3、读取每一句中的汉字

1234567891011

   

...file_train = os.path.join(rootDir,"data/train/rg_train_"+modle_date+"_"+aiscene+".train")with open(file_train, 'r')as fp:    textlist = fp.readlines()    for text in textlist:        if ":" in text:            L4ID = text.split(":")[-2]            Msg = text.split(":")[-1]            if query_start == Msg.strip("
"):                print("Msg is in train:",Msg)...

   

代码中先获取文件,然后读取每一行,然后以":"作为分隔符。(-1代表倒数第一个,-2代表倒数第二个)

不管是txt文件还是xml文件还是其他的,都可以用这种方法来批量替换文件中字符串:

1234567891011121314151617

   

# -*- coding:utf-8 -*-__author__ = 'ShawDa' import glob xmls = glob.glob('xml_files/*.xml')for one_xml in xmls:  print(one_xml)  f = open(one_xml, 'r+', encoding='utf-8')  all_the_lines = f.readlines()  f.seek(0)  f.truncate()  for line in all_the_lines:    line = line.replace('dog', 'pig')    line = line.replace('cat', 'bike')    f.write(line)  f.close()

   



第16行,'a'应该改成a

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