Everfighting

>>>s = ['variable1 (name3)', 'variable2 (name2)', 'variable3 (name1)']
>>> s.sort(key = lambda x: x.split()[1])
>>> s
['variable3 (name1)', 'variable2 (name2)', 'variable1 (name3)']

Everfighting

find . -maxdepth 1 ! -name 'file1' ! -name 'file2' -type f -exec rm -v {} +

Everfighting

import glob
path = 'c:\\projects\\hc2\\'
files = [f for f in glob.glob(path + "**/*.txt", recursive=True)]
for f in files:
    print(f)

Everfighting

import requests
from bs4 import BeautifulSoup

url = 'https://www.troyhunt.com/the-773-million-record-collection-1-data-reach/'
res = requests.get(url)
html_page = res.content
soup = BeautifulSoup(html_page, 'html.parser')
text = soup.find_all(text=True)

output = ''

Everfighting

import requests

url = "http://192.168.1.22:18888/loginByAuth"

querystring = {"username":"YLCS001","password":"92ba8aba25647d2812bba427ce5e2d17"}

payload = ""
headers = {
    'cache-control': "no-cache",
    'Postman-Token': "ef77fde8-e52d-49b7-b315-ec67a45ec2db"

Everfighting

# 批量重启小时内挂掉的docker
docker ps -a | grep minutes | awk '{print $1}'|xargs sudo docker restart

Everfighting

find . -name "*.png" -ctime +10|xargs -t -I {} rm {}

Everfighting

for file in $(cat ~/Desktop/files.txt); do mv "$file" ~/newfolder; done

find ./ -name "app_info*.csv" |xargs -i cp {} ./app_info_bak

Everfighting

可以用pandas里面的map映射字典。

In [1]: import pandas as pd

In [2]: df = pd.DataFrame({'A':['AAAI','ICDM','SDM','WWW','KDD'],
                           'B':[0.88, 0.41,0.22, 0.33, 0.35]})

In [3]: type_dict = {"AAAI":"AI","ICDM":"DM","SDM":"DM","KDD":"DM","WWW":"NEW"}

In [4]: df["C"] = df['A'].map(type_dict)

Everfighting

#!/usr/bin/env python3  
# -*- coding: utf-8 -*-  
"""  
 @desc:  互换键值位置
 @author: Bingo Cai
"""

prefs = {'Lady in the water':{'Lisa Rose':2.5, 'Gene Seymour':3.0},
                'Lady in the moon':{'Lisa Rose':3.5, 'Gene Seymour':2.0},
                'spring festival':{'Lisa Rose':1.5, 'Gene Seymour':1.0},