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如何提高python 中for循环的效率

作者:winyn_

这篇文章主要介绍了如何提高python 中for循环的效率,具有很好的参考价值,希望对大家有所帮助。一起跟随小编过来看看吧

对于某个城市的出租车数据,一天就有33210000条记录,如何将每辆车的数据单独拎出来放到一个专属的文件中呢?

思路很简单:

就是循环33210000条记录,将每辆车的数据搬运到它该去的文件中。

但是对于3000多万条数据,一个一个循环太消耗时间,我花了2个小时才搬运了60万数据,算算3000万我需要花费100个小时,也就需要4-5天。并且还需要保证这五天全天开机,不能出现卡机的事故。

因此,需要使用并行进行for循环的技巧:

由于3000万数据放到csv中导致csv打不开,因此我就把一个csv通过split软件将其切分成每份60万,共53个csv。

我原来的思路是读取文件夹,获取由每一个60万的csv文件组成的列表,再分别对每一个60万的csv进行处理。实质上还是循环33210000次,并行for循环就是同时处理几个60万的csv文件,就能成倍的减少时间消耗。

并行进行for循环是受下面的方法启发:

我之前的做法类似这样:

  words = ['apple', 'bananan', 'cake', 'dumpling']
  for word in words:
    print word

并行for循环类似这样:

from multiprocessing.dummy import Pool as ThreadPool
items = list()
pool = ThreadPool()
pool.map(process, items)
pool.close()
pool.join()

其中,process是进行处理的函数

实例代码如下:

# -*- coding: utf-8 -*-
import time
from multiprocessing.dummy import Pool as ThreadPool
def process(item):
  print('正在并行for循环')
  print(item)
  time.sleep(5)
items = ['apple', 'bananan', 'cake', 'dumpling']
pool = ThreadPool()
pool.map(process, items)
pool.close()
pool.join()

补充知识:Python3用多线程替代for循环提升程序运行速度

优化前后新老代码如下:

from git_tools.git_tool import get_collect_projects, QQNews_Git
from threading import Thread, Lock
import datetime

base_url = "http://git.xx.com"
project_members_commits_lang_info = {}
lock = Lock()
threads = []

'''
Author:zenkilan
'''

def count_time(func):
  def took_up_time(*args, **kwargs):
    start_time = datetime.datetime.now()
    ret = func(*args, **kwargs)
    end_time = datetime.datetime.now()
    took_up_time = (end_time - start_time).total_seconds()
    print(f"{func.__name__} execution took up time:{took_up_time}")
    return ret

  return took_up_time

def get_project_member_lang_code_lines(git, member, begin_date, end_date):
  global project_members_commits_lang_info
  global lock
  member_name = member["username"]
  r = git.get_user_info(member_name)
  if not r["id"]:
    return
  user_commits_lang_info = git.get_commits_user_lang_diff_between(r["id"], begin_date, end_date)
  if len(user_commits_lang_info) == 0:
    return
  lock.acquire()
  project_members_commits_lang_info.setdefault(git.project, dict())
  project_members_commits_lang_info[git.project][member_name] = user_commits_lang_info
  lock.release()


def get_project_lang_code_lines(project, begin_date, end_date):
  global threads
  git = QQNews_Git(project[1], base_url, project[0])
  project_members = git.get_project_members()
  if len(project_members) == 0:
    return
  for member in project_members:
    thread = Thread(target=get_project_member_lang_code_lines, args=(git, member, begin_date, end_date))
    threads.append(thread)
    thread.start()

@count_time
def get_projects_lang_code_lines(begin_date, end_date):
  """
  获取项目代码行语言相关统计——新方法(提升效率)
  应用多线程替代for循环
  并发访问共享外部资源
  :return:
  """
  global project_members_commits_lang_info
  global threads
  for project in get_collect_projects():
    thread = Thread(target=get_project_lang_code_lines, args=(project, begin_date, end_date))
    threads.append(thread)
    thread.start()

@count_time
def get_projects_lang_code_lines_old(begin_date, end_date):
  """
  获取项目代码行语言相关统计——老方法(耗时严重)
  使用最基本的思路进行编程
  双层for循环嵌套并且每层都包含耗时操作
  :return:
  """
  project_members_commits_lang_info = {}
  for project in get_collect_projects():
    git = QQNews_Git(project[1], base_url, project[0])
    project_members = git.get_project_members()
    user_commits_lang_info_dict = {}
    if len(project_members) == 0:
      continue
    for member in project_members:
      member_name = member["username"]
      r = git.get_user_info(member_name, debug=False)
      if not r["id"]:
        continue
      try:
        user_commits_lang_info = git.get_commits_user_lang_diff_between(r["id"], begin_date, end_date)
        if len(user_commits_lang_info) == 0:
          continue
        user_commits_lang_info_dict[member_name] = user_commits_lang_info
        project_members_commits_lang_info[git.project] = user_commits_lang_info_dict
      except:
        pass
  return project_members_commits_lang_info

def test_results_equal(resultA, resultB):
  """
  测试方法
  :param resultA:
  :param resultB:
  :return:
  """
  print(resultA)
  print(resultB)
  assert len(str(resultA)) == len(str(resultB))


if __name__ == '__main__':
  from git_tools.config import begin_date, end_date

  get_projects_lang_code_lines(begin_date, end_date)
  for t in threads:
    t.join()
  old_result = get_projects_lang_code_lines_old(begin_date, end_date)
  test_results_equal(old_result, project_members_commits_lang_info)

老方法里外层for循环和内层for循环里均存在耗时操作:

1)git.get_project_members()

2)git.get_user_info(member_name, debug=False)

分两步来优化,先里后外或先外后里都行。用多线程替换for循环,并发共享外部资源,加锁避免写冲突。

测试结果通过,函数运行时间装饰器显示(单位秒):

get_projects_lang_code_lines execution took up time:1.85294

get_projects_lang_code_lines_old execution took up time:108.604177

速度提升了约58倍

以上这篇如何提高python 中for循环的效率就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持脚本之家。

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