一行一行得從文件讀數據,顯然比較慢;不過很省內存
帶緩存的文件讀取 readlines 速度最快
1. 最基本的讀文件方法:
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# File: readline-example-1.py
file = open("sample.txt")
while 1:
line = file.readline()
if not line:
break
pass # do something
一行一行得從文件讀數據,顯然比較慢;不過很省內存。
在我的機器上讀10M的sample.txt文件,每秒大約讀32000行
2. 用fileinput模塊
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# File: readline-example-2.py
import fileinput
for line in fileinput.input("sample.txt"):
pass
寫法簡單一些,不過測試以后發現每秒只能讀13000行數據,效率比上一種方法慢了兩倍多……
3. 帶緩存的文件讀取
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# File: readline-example-3.py
file = open("sample.txt")
while 1:
lines = file.readlines(100000)
if not lines:
break
for line in lines:
pass # do something
這個方法真的更好嗎?事實證明,用同樣的數據測試,它每秒可以讀96900行數據!效率是第一種方法的3倍,第二種方法的7倍!
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在Python 2.2以后,我們可以直接對一個file對象使用for循環讀每行數據:
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# File: readline-example-5.py
file = open("sample.txt")
for line in file:
pass # do something
而在Python 2.1里,你只能用xreadlines迭代器來實現:
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# File: readline-example-4.py
file = open("sample.txt")
for line in file.xreadlines():
pass # do something