1:readline()测试
file = open("sample.txt") while 1: line = file.readline() if not line: break pass # do something
file.close()
一行一行得从文件读数据,显然比较慢;spa
不过很省内存;code
测试读10M的sample.txt文件,每秒大约读32000行;blog
2:fileinput内存
import fileinput for line in fileinput.input("sample.txt"): pass
写法简单一些,不过测试之后发现每秒只能读13000行数据,效率比上一种方法慢了两倍多;input
3:readlines()it
file = open("sample.txt") while 1: lines = file.readlines(100000) if not lines: break for line in lines: pass # do something
file.close()
用一样的数据测试,它每秒能够读96900行数据!效率是第一种方法的3倍,第二种方法的7倍!class
4:文件迭代器效率
每次只读取和显示一行,读取大文件时应该这样:import
file = open("sample.txt") for line in file: pass # do something
file.close()