ITPub博客

max_consume_money = consume_moneyfor day_up_down in data.index:    open = data.loc[day_up_down].values[0]    high = data.loc[day_up_down].values[1]  &

# Scrapy settings for demo1 project## For simplicity, this file contains only settings considered important or# commonly used. You can find more settings consulting the documentation:##   &n

from tkinter import *from tkinter import ttkimport pywififrom pywifi import constimport timeimport tkinter.filedialogimport tkinter.messageboxclass MY_GUI:def __init__(self,windows):self.init_window_n

/**     *     * 标签路由     *     * @author liyong     * @date 4:48 PM 2020/11

2、五大数据类型代码实例package com.guor.redis;import redis.clients.jedis.Jedis;import java.util.List;import java.util.Set;public class JedisTest01 {    public static void main(String[] args)

// 自定义分发注解@Target({ElementType.TYPE, ElementType.METHOD})@Retention(RetentionPolicy.RUNTIME)@Documentedpublic @interface RequestRouter {    String[] value() default "";}p

删除一个元素我们看看java代码是怎么实现的：public V remove(Object key) {    // 先用二分法获取这个元素，如果为null，不需要继续了    Entry<K,V> p = getEntry(key);    if (p == nul

public class IUserDaoTest {    private InputStream in;    private SqlSession sqlSession;    private IUserDao userDao;   &nbsp

# -*- coding: utf-8 -*-"""=============================== @Time    : 2021/5/18 15:56@Author  : flora.chen@FileName: handle_mysql.py@Software: PyCharm================

#! /usr/bin/env pythonimport smtplibimport sysfrom email.mime.text import MIMETextfrom email.mime.application import MIMEApplicationfrom email.mime.multipart import MIMEMultipartclass SendEMail(object

创建 query_request.py文件用于发现数据后的处理工作from get_stations import *import requests'''5-7 目的地 3  车次 6  出发地 8  出发时间 9  到达时间 10 历时 26 无坐 29 硬座   24 软座 28 硬卧 33 动卧 2

Lambda是一个匿名函数，我们可以把 Lambda表达式理解为是一段可以传递的代码（将代码像数据一样进行传递）。可以写出更简洁、更灵活的代码。作为一种更紧凑的代码风格，使Java的语言表达能力得到了提升。package day01.com.lm.java8;import java.util.Objects;public class Employee {   &nbs

Help on function get_dummies in module pandas.core.reshape.reshape:get_dummies(data, prefix=None, prefix_sep='_', dummy_na=False, columns=None, sparse=False, drop_first=False, dtype=None) -&gt

import  requestsimport jsonimport pymysqlimport  timedef get_html(url,headers,time=10):  #get请求通用函数，去掉了user-agent简化代码    try:      &nbs

import randomfrom time import sleepimport pymysqlfrom bs4 import BeautifulSoupimport re  # 正则表达式import urllib.request, urllib.error  # 定制url 获取网页数据def main():    parser_u

df2 = pd.DataFrame({'A' : 1.,                    'B' : pd.Timestamp('20130102&#3

resize函数 //将集合扩容          final Node<K,V>[] resize() {              &

import numpy as npaArray = np.array([(1,2,3),(4,5,6)])输入：aArray输出：array([(1,2,3),(4,5,6)])bArray = np.linspace(1,2,5,endpoint=False)输入：bArray输出：[1.  1.2 1.4 1.6 1.8]cArray = np.linspace(1,49,25,d

python实现单向链表class Node(object):    def __init__(self, elem):        """        :param

1、安装pymongo库# pip3 install pymongo2、操作mongo数据库import pymongoclient=pymongo.MongoClient("mongodb://用户名:密码@ip:27017/")    # 如mongodb://admin:123456@192.168.221.128:27017# 指定数据库d