Python读取大文本文件(几GB)的最快方法 [英] Python fastest way to read a large text file (several GB)

问题描述

我有一个大文本文件(〜7 GB).我正在寻找是否存在读取大文本文件的最快方法.我一直在阅读有关使用几种方法逐块读取的方法，以加快处理速度.

i have a large text file (~7 GB). I am looking if exist the fastest way to read large text file. I have been reading about using several approach as read chunk-by-chunk in order to speed the process.

例如 effbot 建议

# 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**strong text**

以便每秒处理96,900行文本. 其他作者建议使用islice ()

in order to process 96,900 lines of text per second. Other authors suggest to use islice()

from itertools import islice

with open(...) as f:
    while True:
        next_n_lines = list(islice(f, n))
        if not next_n_lines:
            break
        # process next_n_lines

list(islice(f, n))将返回文件f的下一个n行的列表.在循环中使用它会以n行

list(islice(f, n)) will return a list of the next n lines of the file f. Using this inside a loop will give you the file in chunks of n lines

推荐答案

with open(<FILE>) as FileObj:
    for lines in FileObj:
        print lines # or do some other thing with the line...

一次将读取一行到内存，并在完成后关闭文件...

will read one line at the time to memory, and close the file when done...

这篇关于Python读取大文本文件(几GB)的最快方法的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！