如何高效地获取文件行数

时间 2020-03-03 标签如何高效地获取文件行数

简单的作法：java

须要在python中获取大文件（数十万行）的行数。python

def file_len(fname):
    with open(fname) as f:
        for i, l in enumerate(f):
            pass    return i + 1

有效的方法（缓冲区读取策略）：segmentfault

首先看下运行的结果：数组

mapcount : 0.471799945831
simplecount : 0.634400033951
bufcount : 0.468800067902
opcount : 0.602999973297

所以，对于Windows/Python2.6来讲，缓冲区读取策略彷佛是最快的。app

如下是代码：dom

from __future__ import with_statement
import time
import mmap
import random
from collections import defaultdict
def mapcount(filename):
    f = open(filename, "r+")
    buf = mmap.mmap(f.fileno(), 0)
    lines = 0
    readline = buf.readline
    while readline():
        lines += 1
    return lines
def simplecount(filename):
    lines = 0
    for line in open(filename):
        lines += 1
    return lines
def bufcount(filename):
    f = open(filename)                  
    lines = 0
    buf_size = 1024 * 1024
    read_f = f.read # loop optimization
    buf = read_f(buf_size)
    while buf:
        lines += buf.count('\n')
        buf = read_f(buf_size)
    return lines
def opcount(fname):
    with open(fname) as f:
        for i, l in enumerate(f):
            pass
    return i + 1
counts = defaultdict(list)
for i in range(5):
    for func in [mapcount, simplecount, bufcount, opcount]:
        start_time = time.time()
        assert func("big_file.txt") == 1209138
        counts[func].append(time.time() - start_time)
for key, vals in counts.items():
    print key.__name__, ":", sum(vals) / float(len(vals))

以上就是如何高效地获取文件行数的详细内容，但愿对你有所帮助。oop

阅读原文：如何高效地获取文件行数spa