如何提高python 中for循環(huán)的效率
對于某個城市的出租車數(shù)據(jù),一天就有33210000條記錄,如何將每輛車的數(shù)據(jù)單獨拎出來放到一個專屬的文件中呢?
思路很簡單:
就是循環(huán)33210000條記錄,將每輛車的數(shù)據(jù)搬運到它該去的文件中。
但是對于3000多萬條數(shù)據(jù),一個一個循環(huán)太消耗時間,我花了2個小時才搬運了60萬數(shù)據(jù),算算3000萬我需要花費100個小時,也就需要4-5天。并且還需要保證這五天全天開機,不能出現(xiàn)卡機的事故。
因此,需要使用并行進行for循環(huán)的技巧:
由于3000萬數(shù)據(jù)放到csv中導致csv打不開,因此我就把一個csv通過split軟件將其切分成每份60萬,共53個csv。
我原來的思路是讀取文件夾,獲取由每一個60萬的csv文件組成的列表,再分別對每一個60萬的csv進行處理。實質(zhì)上還是循環(huán)33210000次,并行for循環(huán)就是同時處理幾個60萬的csv文件,就能成倍的減少時間消耗。
并行進行for循環(huán)是受下面的方法啟發(fā):
我之前的做法類似這樣:
words = ['apple', 'bananan', 'cake', 'dumpling']
for word in words:
print word
并行for循環(huán)類似這樣:
from multiprocessing.dummy import Pool as ThreadPool items = list() pool = ThreadPool() pool.map(process, items) pool.close() pool.join()
其中,process是進行處理的函數(shù)
實例代碼如下:
# -*- coding: utf-8 -*-
import time
from multiprocessing.dummy import Pool as ThreadPool
def process(item):
print('正在并行for循環(huán)')
print(item)
time.sleep(5)
items = ['apple', 'bananan', 'cake', 'dumpling']
pool = ThreadPool()
pool.map(process, items)
pool.close()
pool.join()
補充知識:Python3用多線程替代for循環(huán)提升程序運行速度
優(yōu)化前后新老代碼如下:
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):
"""
獲取項目代碼行語言相關統(tǒng)計——新方法(提升效率)
應用多線程替代for循環(huán)
并發(fā)訪問共享外部資源
: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):
"""
獲取項目代碼行語言相關統(tǒng)計——老方法(耗時嚴重)
使用最基本的思路進行編程
雙層for循環(huán)嵌套并且每層都包含耗時操作
: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):
"""
測試方法
: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)
老方法里外層for循環(huán)和內(nèi)層for循環(huán)里均存在耗時操作:
1)git.get_project_members()
2)git.get_user_info(member_name, debug=False)
分兩步來優(yōu)化,先里后外或先外后里都行。用多線程替換for循環(huán),并發(fā)共享外部資源,加鎖避免寫沖突。
測試結果通過,函數(shù)運行時間裝飾器顯示(單位秒):
get_projects_lang_code_lines execution took up time:1.85294
get_projects_lang_code_lines_old execution took up time:108.604177
速度提升了約58倍
以上這篇如何提高python 中for循環(huán)的效率就是小編分享給大家的全部內(nèi)容了,希望能給大家一個參考,也希望大家多多支持腳本之家。
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