1:readline()
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file = open ( "sample.txt" )
while 1 :
line = file .readline()
if not line:
break
pass # do something
file .close()
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一行一行得从文件读数据,显然比较慢;
不过很省内存;
测试读10M的sample.txt文件,每秒大约读32000行;
2:fileinput
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import fileinput
for line in fileinput. input ( "sample.txt" ):
pass
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写法简单一些,不过测试以后发现每秒只能读13000行数据,效率比上一种方法慢了两倍多;
3:readlines()
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file = open ( "sample.txt" )
while 1 :
lines = file .readlines( 100000 )
if not lines:
break
for line in lines:
pass # do something
file .close()
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用同样的数据测试,它每秒可以读96900行数据!效率是第一种方法的3倍,第二种方法的7倍!
4:文件迭代器
每次只读取和显示一行,读取大文件时应该这样:
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file = open ( "sample.txt" )
for line in file :
pass # do something
file .close()
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以上就是小编为大家带来的Python按行读取文件的简单实现方法全部内容了,希望大家多多支持服务器之家~