python 循环读取每一行共找到3359条结果

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From_file=open('D:\\python\\A\\tianqi.txt','a') try: for each_line in From_file: print(each_line) #print(From_file.read()) finally: ...(2017-08-12 17:01:58)

file_path = "" # 文件路径 for line in open(file_path): print(line) # 对每一行进行操作即可   ...(2018-12-07 23:15:55)

#!/usr/bin/python # -*- coding: utf-8 -*- """ @author: @contact: @time: """ f=open("C:/Users/Administrator/Desktop/ ...(2018-10-23 14:28:11)

import sys import os import shutil f = open("/home/xxx/corpus/test/wav.txt","r") lines = f.readlines() for line in lines :    line=line.strip( ...(2016-07-18 14:08:55)

if __name__ == '__main__':     keys = ("distribution.ftp.type1","distribution.ftp.type2","distribution.ftp.type3")     ...(2012-05-23 22:29:36)

在处理文本的时候,首先要做的是读取一下文本文件,一般的方法如下: corpus = open('这个位置放文件绝对路径', 'r').readlines() 将这个文本文件按行读取,每行一个元素放到一个list中。但是需要将整个文本文件先全部装入内存中。 如果文本文件太大,不能一次性读入内存怎 ...(2016-11-07 20:18:56)

最简单快捷的方式: l = list(map(int, input().split())) print(l)   ...(2018-08-21 12:44:34)

如题 import xlwt #写入文件 import xlrd #打开excel文件 fopen=open('D:\\spyder-projects\\test_files\\test.txt','r') lines=fopen.readlines() i=0 for line in ...(2018-07-25 21:46:01)

# merge_result is DataFrame merge_result_tuples = [tuple(xi) for xi in merge_result.values] # output: (datetime.date(2018, 11, 19), Timestamp('2018- ...(2018-11-19 16:06:04)

with open('.\\A\\tianqi.txt') as From_file: #try: for each_line in From_file: print(each_line) #finally: From_file.close() ...(2017-08-12 17:19:51)