python編寫一個簡單的程序，python設計要求_Python高級應用程序設計任務要求

import numpy as np

import pandas as pd

import requests as req

from bs4 import BeautifulSoup

from bs4 import BeautifulSoup

python編寫一個簡單的程序？# 獲取體育新聞并存儲到文件中

def getNewsHtml(url):

# 爬取過程中可能會出現爬取失敗的情況,一旦失敗停止爬取

try:

r = req.get(url, headers={'user-agent': 'Mozilla/5.0'})

r.raise_for_status()

python字符串join用法、html = r.text

return html

except:

return "Error"

# 爬取新聞信息

def getNewDate(html):

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soup = BeautifulSoup(html, "html.parser")

# 獲取新聞標題

title = soup.select("div.LEFT > h1")

# 打印新聞標題

print(title[0].text)

python代碼怎么寫。# 獲取新聞發布時間

mata = soup.find_all("meta", attrs={"name": "apub:time"})[0].attrs["content"]

print(mata)

# 獲取新聞主題內容

cntents = soup.select("div.content-article > p.one-p")

text = ""

python輸入10個數并進行排序，n = 0

# 循環遍歷contents中的p標簽

for p in cntents:

if n > 1:

# 拼接內容

text = text+p.text

python中三個數從小到大排序。n = n + 1

return [title[0].text, text, mata]

# 循環爬取urls數組中的路徑

def forNewUrl(urls):

List = []

for url in urls:

python程序設計答案、# 爬取頁面源碼

html = getNewsHtml(url)

# 返回新聞頁面數據集合

newdata = getNewDate(html)

List.append(newdata)

return List

初學編程100個代碼？# 用來保存新聞數據

def saveNewDate(ListNewsDate,newPath):

writer = pd.ExcelWriter(newPath)

# 將數據轉為DataFrame格式,用來存儲在excel表格中

df= pd.DataFrame(ListNewsDate,columns=["NewTilte","NewContent","createtime"])

#

爬蟲python？df.to_excel(writer, sheet_name="ListNewsDate1")

writer.save()

# 爬取新聞的頁面ur路徑

# url = "https://new.qq.com/rain/a/SPO2019121602087000"

urls = ["https://new.qq.com/rain/a/SPO2019121602087000",

"https://new.qq.com/omn/20191218/20191218A0NMFX00.html",

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def run():

ListNewsDate = forNewUrl(urls)

python安裝好后怎么寫代碼？saveNewDate(ListNewsDate, "ListNewsDate.xlsx")

#執行代碼

run()