import pandas as pd
#import openpyxl
import math

#计算对数的方法，第二个参数代表底，或者直接用log2
#print(math.log(4,2))
#print(math.log(10))#此时代表自然对数

#使用openpyxl操作工作表
#wb = openpyxl.load_workbook('配眼镜.xlsx')
#ws_data = wb['Sheet1']
#删除第一行
#ws_data.delete_rows(1)
#header = None 不指定索引
df = pd.read_excel(

#用于请求网页数据
import requests
#正则表达式、json字典
import re,json
#爬取过程中用于暂停
import time
#用于操作Excel
import openpyxl
#模拟真实用户获取职位信息总页数
from se

#如果缺失请在cmd下使用pip install xxx进行安装
import requests
import re,os
import time

#用于抓取搜索结果页的视频入口
first_headers = {
    'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Ch

#裁剪与写入
from moviepy.editor import VideoFileClip,AudioFileClip
#拼接视频与音频
from moviepy.editor import concatenate_videoclips,concatenate_audioclips
#预加载的视频
videoFile = 'demo.avi'
#要保存的文件名
video_name = 'cut_video.mp4'
audio_name = 'cut_audio.mp3'
#载入文件
video = VideoFileClip(

import cv2
import glob,os
import numpy as np

def cv_imread(file_path):
    cv_img = cv2.imdecode(np.fromfile(file_path,dtype = np.uint8),-1)
    return cv_img

def resize(img_array,align_mode):
    _height = len(img_array[0])
    _width = len(img_array[0][0])
    for i in range(1

# -*- coding: utf-8 -*-
"""
Created on Thu Aug  6 18:09:58 2020

@author: ljc545w
"""
#请在cmd下使用pip install requests命令安装依赖
import requests
import re
import datetime
#以下三个包用于发送邮件

#请先在窗口执行import xxx，然后安装缺失的第三方包
import requests
from pyquery import PyQuery as pq
import datetime
import schedule
import time
import smtplib
from email.mime.text import MIMEText
from email.header import Header

headers = {
        'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Wi

import requests
import re,lxml
from selenium import webdriver
from time import sleep
from bs4 import BeautifulSoup as bs
from selenium.webdriver.chrome.options import Options

chrome_options = Options()
chrome_options.add_argument('--headless')
chrome_options.add_argument(&

import cv2
import numpy as np

def get_noise(img,value = 10):

    noise = np.random.uniform(0,256,img.shape[0:2])
    v = value * 0.01
    noise[np.where(noise < (256 - v))] = 0

    k = np.array([ [0,0.1,0],
                 [0.1,8,0.1],
                 [0,0.1,0] ])

    noise = cv2.

from turtle import *
import random

def drawTree(length):
    if length > 1:
        if length < 30 and length > 14:#缩小一下树干
            pensize(4)
        elif length < 15 and length > 5:#长度这个范围内那么就是绿叶
            color('#04B486')#
            pensize(3)