Everfighting

pip3 install -i https://mirrors.ustc.edu.cn/pypi/web/simple pyinstaller

Everfighting

root@ip-172-31-7-24:/web/hushanbin# docker system prune
WARNING! This will remove:
        - all stopped containers
        - all networks not used by at least one container
        - all dangling images
        - all build cache
Are you sure you want to continue? [y/N] N

Everfighting

docker inspect  -f "{{.Name}} {{.Config.Cmd}}" $(docker ps -a -q)

Everfighting

# defaultdict Examples
# Using list as the default_factory, it is easy to group a sequence of key-value pairs into a dictionary of lists:

s = [('yellow', 1), ('blue', 2), ('yellow', 3), ('blue', 4), ('red', 1)]
d = defaultdict(list)
for k, v in s:
    d[k].append(v)

sorted(d.items())

Everfighting

import csv
row1  = [1,2,3,4,5]
row2 = [1,2,3,4,5]
row3 = [1,2,3,4,5]
rows = [row1,row2,row3]

with open(csv_name,"w") as csvfile:
    writer = csv.writer(csvfile)
    #先写入columns_name
     writer.writerow(["bottom", "left", "right", "top", "value"])

Everfighting

>>> string = 'hello world'
>>> { a:string.count(a) for a in set(string.replace(' ','')) }
{'h': 1, 'e': 1, 'w': 1, 'l': 3, 'o': 2, 'd': 1, 'r': 1}

Everfighting

# gitignore
.*.swp
*.idea
*.xls
*.txt
*.pdf
*.csv
*.xml
nohup.out
*.xls

Everfighting

# -*- coding: utf-8 -*-


import pip
from subprocess import call

for dist in pip.get_installed_distributions():
call("pip install --upgrade " + dist.project_name, shell=True)

Everfighting

#!/usr/bin/env python3
#encoding:utf-8
import pandas as pd
import numpy as np

# 读取excel
df = pd.read_excel('m020171205.xlsx')

# 只保留第一项,并修改列名
df_first = df.drop_duplicates(['借据号'],keep='first')

Everfighting

#!/usr/bin/env python                                                                                                                             
# encoding: utf-8                                                                   
                                                                                    
import pandas as pd                                                                 
import psycopg2                                                                     
conn_dv = psycopg2.connect(database="", user="", password="")
                                                                                    
def read_csv(filename):                                                                     
    usr_list = pd.read_csv(filename)                                       
    res  = []