#
            # utf-8
            import
             requests

            import
             os

            #
             import urllib.request
            from bs4 import BeautifulSoup
from tqdm import tqdm
import pandas as pd 


def saveFile(url,fileName):

    # ‘‘‘ 保存文件‘‘‘
    r = requests.get(url, stream=True)
    chunkSize = 256
    # print(‘dowloading...‘,fileName)
    with open(‘data/‘+fileName, ‘wb‘) as f:
        pbar = tqdm( unit="B", total=int( r.headers[‘Content-Length‘] ) ,desc = "downloading..."+fileName)
        for chunk in r.iter_content(chunk_size=chunkSize):
            if chunk: # filter out keep-alive new chunks                pbar.update (len(chunk))
                f.write(chunk)


html = ‘‘‘将table的源码粘贴到这里‘‘‘##  get download url and file name
soup = BeautifulSoup(html)
tbody = soup.findAll(‘tbody‘)[0]
trs = tbody.findAll("tr")

data = []
for tr in trs:
    tds = tr.findAll("td")[-4:]
    temp = []

    #for td in tds[:-1]:
        temp.append(td.text)

    a = tds[-1].findAll("a")[-1]

##   download url
    href = "http://59.175.109.173:8888" + a["href"]

    temp.append(href)

    data.append(temp)

dataSet = pd.DataFrame(data,columns = ["weixing","chuanganqi","time","url"])

###file name
dataSet.loc[:,"fileName"] = dataSet.loc[:,"weixing"] + dataSet.loc[:,"chuanganqi"] + dataSet.loc[:,"time"] + "-" + dataSet.index.map(str) + ".tar.gz"#### dowloadfor i in tqdm(range(dataSet.shape[0])):
    # if i<start:#     continue# if i > 200:#     continue
    row = dataSet.loc[i,:]
    fileName = row["fileName"]
    url = row["url"]
    saveFile(url,fileName)