├── Install ├── InstallMemo（AutoDL+VM+Local）.md ├── InstallMemo（AutoDL+VM+Local）.pdf ├── README.md └── pic │ ├── image-20220430231113537.png │ ├── image-20220430231129316.png │ ├── image-20220430231219935.png │ ├── image-20220430233500750.png │ ├── image-20220430233725694.png │ ├── image-20220430233845032.png │ ├── image-20220430234126068.png │ ├── image-20220430235916255.png │ ├── image-20220501000121453.png │ ├── image-20220501000235828.png │ ├── image-20220501000602031.png │ ├── image-20220501023541362.png │ ├── image-20220501023631740.png │ ├── image-20220501023830937.png │ ├── image-20220501024039977.png │ ├── image-20220501024914915.png │ ├── image-20220501231522492.png │ ├── image-20220501231606112.png │ ├── image-20220501231659596.png │ ├── image-20220501232616504.png │ ├── image-20220501233905481.png │ ├── image-20220502000835220.png │ ├── image-20220502012432046.png │ ├── image-20220502024230534.png │ ├── image-20220502024441751.png │ ├── image-20220502104524492.png │ ├── image-20220502104636306.png │ ├── image-20220502224204566.png │ ├── image-20220502232634203.png │ ├── image-20220502232841797.png │ ├── image-20220502233657501.png │ ├── image-20220502234931087.png │ ├── image-20220503000458301.png │ ├── image-20220503000649992.png │ ├── image-20220503000746764.png │ ├── image-20220503130157512.png │ ├── image-20220503130436235.png │ ├── image-20220503130734903.png │ ├── image-20220503134712397.png │ ├── image-20220503144640724.png │ ├── image-20220503144809718.png │ ├── image-20220503173358529.png │ ├── image-20220503192147386.png │ ├── image-20220503192229050.png │ ├── image-20220503192258734.png │ ├── image-20220503192416385.png │ ├── image-20220506194358435.png │ ├── image-20220506231313645.png │ ├── image-20220507092700826.png │ ├── image-20220507112040254.png │ ├── image-20220507134450198.png │ ├── image-20220507185537972.png │ ├── image-20220507200312711.png │ ├── image-20220507200350567.png │ ├── image-20220507200453500.png │ ├── image-20220507202946569.png │ ├── image-20220507203657488.png │ ├── image-20220507211251831.png │ ├── image-20220507211339592.png │ ├── image-20220507212954874.png │ ├── image-20220507213045412.png │ ├── image-20220507213111883.png │ ├── image-20220507213416097.png │ ├── image-20220508155050629.png │ ├── image-20220508155119068.png │ ├── image-20220508172043219.png │ └── image-20220508172243396.png ├── PaddlePractice ├── .idea │ ├── .gitignore │ ├── PaddlePractice.iml │ ├── inspectionProfiles │ │ └── profiles_settings.xml │ ├── misc.xml │ ├── modules.xml │ ├── sshConfigs.xml │ └── vcs.xml ├── main.py └── test1.ipynb ├── PythonData ├── .idea │ ├── PythonData.iml │ ├── deployment.xml │ ├── inspectionProfiles │ │ └── profiles_settings.xml │ ├── misc.xml │ ├── modules.xml │ ├── vcs.xml │ └── workspace.xml ├── 1.ipynb ├── 2.ipynb ├── 3.ipynb ├── README.md ├── __pycache__ │ └── some_module.cpython-39.pyc ├── pic │ ├── 1619228-20190722192850516-1692415075.png │ ├── image-20220902104524045.png │ ├── image-20220902105154382.png │ ├── image-20220902105330343.png │ ├── image-20220902105635622.png │ ├── image-20220902105837790.png │ ├── image-20220902110315675.png │ ├── image-20220902110341216.png │ ├── image-20220902111323819.png │ ├── image-20220902111452992.png │ ├── image-20220902115250644.png │ ├── image-20220902120142452.png │ ├── image-20220902121134185.png │ ├── image-20220902121222763.png │ ├── image-20220902231023470.png │ ├── image-20220902231041887.png │ ├── image-20220902231055181.png │ ├── image-20220902231110051.png │ ├── image-20220902232434859.png │ ├── image-20220902233047760.png │ ├── image-20220902233716577.png │ ├── image-20220902233904799.png │ ├── image-20220902235052055.png │ ├── image-20220902235739843.png │ ├── image-20220903000026540.png │ ├── image-20220903000507926.png │ ├── image-20220903000545244.png │ ├── image-20220903000959667.png │ ├── image-20220903001138599.png │ ├── image-20220903001247508.png │ ├── image-20220903001439529.png │ ├── image-20220903001558706.png │ ├── image-20220903001701614.png │ ├── image-20220903002250689.png │ ├── image-20220903002403676.png │ ├── image-20220903082828945.png │ ├── image-20220903082900807.png │ ├── image-20220903083007134.png │ ├── image-20220903083200993.png │ ├── image-20220903083241675.png │ ├── image-20220903083647914.png │ ├── image-20220903083816480.png │ ├── image-20220903084017304.png │ ├── image-20220903084056864.png │ ├── image-20220903084249530.png │ ├── image-20220903084512091.png │ ├── image-20220903084735594.png │ ├── image-20220903084914456.png │ ├── image-20220903113847187.png │ ├── image-20220903113855136.png │ ├── image-20220903113949281.png │ ├── image-20220903114605734.png │ ├── image-20220903114919563.png │ ├── image-20220903114941735.png │ ├── image-20220903125934635.png │ ├── image-20220903130006464.png │ ├── image-20220903130350832.png │ ├── image-20220903130410130.png │ ├── image-20220903130533900.png │ ├── image-20220903130907564.png │ ├── 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image-20220905152834067.png │ ├── image-20220905153226377.png │ ├── image-20220905153324244.png │ ├── image-20220905153914770.png │ ├── image-20220905154110304.png │ ├── image-20220905154210292.png │ ├── image-20220905154553952.png │ ├── image-20220905154714614.png │ ├── image-20220905154849418.png │ ├── image-20220905154919111.png │ ├── image-20220905155030295.png │ ├── image-20220905155433889.png │ ├── image-20220905155712117.png │ ├── image-20220905155900546.png │ ├── image-20220905160224827.png │ ├── image-20220905161011972.png │ ├── image-20220905161200365.png │ ├── image-20220905161258163.png │ ├── image-20220905161736582.png │ ├── image-20220905161833149.png │ ├── image-20220905162221525.png │ ├── image-20220905163138764.png │ ├── image-20220905163748974.png │ ├── image-20220905163952695.png │ ├── image-20220905164023571.png │ ├── image-20220905164032252.png │ ├── image-20220905164327317.png │ ├── image-20220905165455096.png │ ├── image-20220905170024364.png │ ├── image-20220905171444038.png │ ├── image-20220905171706001.png │ ├── image-20220905172840191.png │ ├── image-20220905173233810.png │ ├── image-20220905194737852.png │ ├── image-20220905200124722.png │ ├── image-20220905200521338.png │ ├── image-20220905201243533.png │ ├── image-20220905202612400.png │ ├── image-20220905202800650.png │ ├── image-20220905203542947.png │ └── image-20220905203737989.png ├── some_module.py ├── test.txt ├── test1.py ├── test2_1.py ├── test2_2.py └── test2_3.py ├── PythonExcel ├── .idea │ ├── .gitignore │ ├── PythonSpider.iml │ ├── deployment.xml │ ├── inspectionProfiles │ │ └── profiles_settings.xml │ ├── misc.xml │ ├── modules.xml │ └── vcs.xml ├── 1_1.py ├── 1_2.py ├── README.md ├── demo.xlsx ├── pic │ ├── image-20220826142055919.png │ ├── image-20220826144624946.png │ ├── image-20220826151342422.png │ ├── image-20220826151408717.png │ ├── image-20220826152523209.png │ ├── image-20220826153007891.png │ ├── image-20220826153106478.png │ ├── image-20220826153152630.png │ ├── image-20220826153226329.png │ ├── image-20220826154353964.png │ ├── image-20220826154419693.png │ ├── image-20220826155142921.png │ ├── image-20220826160228425.png │ ├── image-20220826160304219.png │ ├── image-20220826160319643.png │ ├── image-20220826160346091.png │ ├── image-20220826160804834.png │ ├── image-20220826161751036.png │ ├── image-20220826162934006.png │ ├── image-20220826170405889.png │ ├── image-20220826170639510.png │ ├── image-20220826172050459.png │ └── image-20220826172256133.png ├── 豆瓣TOP250电影.txt └── 豆瓣TOP250电影.xlsx ├── PythonStudy ├── 1.py ├── 2.py ├── 3.py ├── 4.py ├── 5.py ├── README.md ├── data.pkl ├── pic │ ├── image-20220701093124552.png │ ├── image-20220701093218609.png │ ├── image-20220701093234358.png │ ├── image-20220701094303364.png │ ├── image-20220701094936258.png │ ├── image-20220701100028354.png │ ├── image-20220701100324557.png │ ├── image-20220701100550971.png │ ├── image-20220701101345030.png │ ├── image-20220701101516122.png │ ├── image-20220701104949719.png │ ├── image-20220701105428629.png │ ├── image-20220701105447890.png │ ├── image-20220701110513488.png │ ├── image-20220701110532300.png │ ├── image-20220701111614434.png │ ├── image-20220701111634333.png │ ├── image-20220702090400739.png │ ├── image-20220702090556211.png │ ├── image-20220702090818291.png │ ├── image-20220702091028497.png │ ├── image-20220702091539434.png │ ├── image-20220702092037540.png │ ├── image-20220702100047163.png │ ├── image-20220702100644516.png │ ├── image-20220702101234099.png │ ├── image-20220702101747012.png │ ├── image-20220702102615978.png │ ├── image-20220702102650813.png │ ├── image-20220702104513600.png │ ├── image-20220702104553669.png │ ├── image-20220702110605111.png │ ├── image-20220702111701081.png │ ├── image-20220702150515362.png │ ├── image-20220702151123375.png │ ├── image-20220702153107864.png │ ├── image-20220702153235059.png │ ├── image-20220702154723764.png │ ├── 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image-20220824164306557.png │ ├── image-20220824164327361.png │ ├── image-20220824164410181.png │ ├── image-20220824165708606.png │ ├── image-20220824170703031.png │ ├── image-20220824171222672.png │ ├── image-20220824171929992.png │ ├── image-20220824172158184.png │ └── image-20220824173432751.png └── subclasslog.txt ├── README.md ├── Spider ├── .idea │ ├── .gitignore │ ├── Spider.iml │ ├── encodings.xml │ ├── inspectionProfiles │ │ └── profiles_settings.xml │ ├── misc.xml │ ├── modules.xml │ ├── sshConfigs.xml │ └── vcs.xml ├── 1.ipynb ├── README.md ├── army.csv ├── army.txt ├── army_bs.csv ├── b.html ├── bizhi.py ├── cctvjunshi.py ├── cctvnews_bs.py ├── dbtop250.csv ├── doubantop250.py ├── dytt8.py ├── fanyi_requests.py ├── first_test.py ├── img │ ├── 1638860262874163886026265.jpg │ ├── 1638860271747163886027116.jpg │ ├── 164274883169716427488314.jpg │ ├── 1642749121859164274912182.jpg │ ├── 1642749162911164274916228.jpg │ ├── 1642749168676164274916826.jpg │ ├── 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-------------------------------------------------------------------------------- 1 | # 这是一个示例 Python 脚本。 2 | 3 | # 按 Shift+F10 执行或将其替换为您的代码。 4 | # 按 双击 Shift 在所有地方搜索类、文件、工具窗口、操作和设置。 5 | 6 | 7 | def print_hi(name): 8 | # 在下面的代码行中使用断点来调试脚本。 9 | print(f'Hi, {name}') # 按 Ctrl+F8 切换断点。 10 | 11 | 12 | # 按间距中的绿色按钮以运行脚本。 13 | if __name__ == '__main__': 14 | print_hi('PyCharm') 15 | 16 | # 访问 https://www.jetbrains.com/help/pycharm/ 获取 PyCharm 帮助 17 | -------------------------------------------------------------------------------- /PythonData/.idea/PythonData.iml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /PythonData/.idea/deployment.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | -------------------------------------------------------------------------------- /PythonData/.idea/inspectionProfiles/profiles_settings.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 6 | -------------------------------------------------------------------------------- /PythonData/.idea/misc.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | -------------------------------------------------------------------------------- /PythonData/.idea/modules.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /PythonData/.idea/vcs.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | -------------------------------------------------------------------------------- /PythonData/3.ipynb: 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-------------------------------------------------------------------------------- /PythonData/test1.py: -------------------------------------------------------------------------------- 1 | def f(x,y,z): 2 | return (x+y)/z 3 | 4 | a = 5 5 | b = 6 6 | c = 7.5 7 | 8 | result = f(a,b,c) 9 | -------------------------------------------------------------------------------- /PythonData/test2_1.py: -------------------------------------------------------------------------------- 1 | import some_module 2 | 3 | result = some_module.f(5) 4 | pi = some_module.PI -------------------------------------------------------------------------------- /PythonData/test2_2.py: -------------------------------------------------------------------------------- 1 | from some_module import f,g,PI 2 | 3 | result = g(5,PI) -------------------------------------------------------------------------------- /PythonData/test2_3.py: -------------------------------------------------------------------------------- 1 | import some_module as sm 2 | from some_module import PI as pi, g as gf 3 | 4 | r1 = sm.f(pi) 5 | r2 = gf(6,pi) -------------------------------------------------------------------------------- /PythonExcel/.idea/.gitignore: -------------------------------------------------------------------------------- 1 | # 默认忽略的文件 2 | /shelf/ 3 | /workspace.xml 4 | # 基于编辑器的 HTTP 客户端请求 5 | /httpRequests/ 6 | # Datasource local storage ignored files 7 | /dataSources/ 8 | /dataSources.local.xml 9 | -------------------------------------------------------------------------------- /PythonExcel/.idea/PythonSpider.iml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /PythonExcel/.idea/deployment.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | -------------------------------------------------------------------------------- /PythonExcel/.idea/inspectionProfiles/profiles_settings.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 6 | -------------------------------------------------------------------------------- /PythonExcel/.idea/misc.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | -------------------------------------------------------------------------------- /PythonExcel/.idea/modules.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /PythonExcel/.idea/vcs.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | -------------------------------------------------------------------------------- /PythonExcel/1_1.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import bs4 3 | import re 4 | 5 | 6 | def open_url(url): 7 | # 使用代理 8 | # proxies = {"http": "127.0.0.1:1080", "https": "127.0.0.1:1080"} 9 | headers = { 10 | 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.98 Safari/537.36'} 11 | 12 | # res = requests.get(url, headers=headers, proxies=proxies) 13 | res = requests.get(url, headers=headers) 14 | 15 | return res 16 | 17 | 18 | def find_movies(res): 19 | soup = bs4.BeautifulSoup(res.text, 'html.parser') 20 | 21 | # 电影名 22 | movies = [] 23 | targets = soup.find_all("div", class_="hd") 24 | for each in targets: 25 | movies.append(each.a.span.text) 26 | 27 | # 评分 28 | ranks = [] 29 | targets = soup.find_all("span", class_="rating_num") 30 | for each in targets: 31 | ranks.append(' 评分：%s ' % each.text) 32 | 33 | # 资料 34 | messages = [] 35 | targets = soup.find_all("div", class_="bd") 36 | for each in targets: 37 | try: 38 | messages.append(each.p.text.split('\n')[1].strip() + each.p.text.split('\n')[2].strip()) 39 | except: 40 | continue 41 | 42 | result = [] 43 | length = len(movies) 44 | for i in range(length): 45 | result.append(movies[i] + ranks[i] + messages[i] + '\n') 46 | 47 | return result 48 | 49 | 50 | # 找出一共有多少个页面 51 | def find_depth(res): 52 | soup = bs4.BeautifulSoup(res.text, 'html.parser') 53 | depth = soup.find('span', class_='next').previous_sibling.previous_sibling.text 54 | 55 | return int(depth) 56 | 57 | 58 | def main(): 59 | host = "https://movie.douban.com/top250" 60 | res = open_url(host) 61 | depth = find_depth(res) 62 | 63 | result = [] 64 | for i in range(depth): 65 | url = host + '/?start=' + str(25 * i) 66 | res = open_url(url) 67 | result.extend(find_movies(res)) 68 | 69 | with open("豆瓣TOP250电影.txt", "w", encoding="utf-8") as f: 70 | for each in result: 71 | f.write(each) 72 | 73 | 74 | if __name__ == "__main__": 75 | main() -------------------------------------------------------------------------------- /PythonExcel/1_2.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import bs4 3 | import re 4 | import openpyxl 5 | 6 | def open_url(url): 7 | # 使用代理 8 | # proxies = {"http": "127.0.0.1:1080", "https": "127.0.0.1:1080"} 9 | headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.98 Safari/537.36'} 10 | 11 | # res = requests.get(url, headers=headers, proxies=proxies) 12 | res = requests.get(url, headers=headers) 13 | 14 | return res 15 | 16 | def find_movies(res): 17 | soup = bs4.BeautifulSoup(res.text, 'html.parser') 18 | 19 | # 电影名 20 | movies = [] 21 | targets = soup.find_all("div", class_="hd") 22 | for each in targets: 23 | movies.append(each.a.span.text) 24 | 25 | # 评分 26 | ranks = [] 27 | targets = soup.find_all("span", class_="rating_num") 28 | for each in targets: 29 | ranks.append(each.text) 30 | 31 | # 资料 32 | messages = [] 33 | targets = soup.find_all("div", class_="bd") 34 | for each in targets: 35 | try: 36 | messages.append(each.p.text.split('\n')[1].strip() + each.p.text.split('\n')[2].strip()) 37 | except: 38 | continue 39 | 40 | result = [] 41 | length = len(movies) 42 | for i in range(length): 43 | result.append([movies[i],ranks[i],messages[i]]) 44 | 45 | return result 46 | 47 | 48 | #保存为xlsx, import openpyxl 49 | def save_to_excel(result): 50 | wb = openpyxl.Workbook() 51 | ws = wb.active 52 | 53 | ws['A1'] = '电影名称' 54 | ws['B1'] = '评分' 55 | ws['C1'] = '资料' 56 | 57 | for each in result: 58 | ws.append(each) #each是一个列表元组，而不是字符串 59 | 60 | wb.save("豆瓣TOP250电影.xlsx") 61 | 62 | 63 | # 找出一共有多少个页面 64 | def find_depth(res): 65 | soup = bs4.BeautifulSoup(res.text, 'html.parser') 66 | depth = soup.find('span', class_='next').previous_sibling.previous_sibling.text 67 | 68 | return int(depth) 69 | 70 | def main(): 71 | host = "https://movie.douban.com/top250" 72 | res = open_url(host) 73 | depth = find_depth(res) 74 | 75 | result = [] 76 | for i in range(depth): 77 | url = host + '/?start=' + str(25 * i) 78 | res = open_url(url) 79 | result.extend(find_movies(res)) 80 | 81 | save_to_excel(result) 82 | 83 | if __name__ == "__main__": 84 | main() 85 | -------------------------------------------------------------------------------- /PythonExcel/README.md: -------------------------------------------------------------------------------- 1 | # 安装 2 | 3 | ## 安装openpyxl 4 | 5 | ![image-20220826142055919](pic/image-20220826142055919.png) 6 | 7 | ## 打开环境的idle.bat 8 | 9 | D:\Anaconda\envs\py38_spider\Lib\idlelib 10 | 11 | 12 | 13 | # 创建表格 14 | 15 | image-20220826144624946 16 | 17 | 18 | 19 | # 将txt转为excel 20 | 21 | ## 爬虫网页转为txt 22 | 23 | image-20220826151408717 24 | 25 | ```python 26 | import requests 27 | import bs4 28 | import re 29 | 30 | 31 | def open_url(url): 32 | # 使用代理 33 | # proxies = {"http": "127.0.0.1:1080", "https": "127.0.0.1:1080"} 34 | headers = { 35 | 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.98 Safari/537.36'} 36 | 37 | # res = requests.get(url, headers=headers, proxies=proxies) 38 | res = requests.get(url, headers=headers) 39 | 40 | return res 41 | 42 | 43 | def find_movies(res): 44 | soup = bs4.BeautifulSoup(res.text, 'html.parser') 45 | 46 | # 电影名 47 | movies = [] 48 | targets = soup.find_all("div", class_="hd") 49 | for each in targets: 50 | movies.append(each.a.span.text) 51 | 52 | # 评分 53 | ranks = [] 54 | targets = soup.find_all("span", class_="rating_num") 55 | for each in targets: 56 | ranks.append(' 评分：%s ' % each.text) 57 | 58 | # 资料 59 | messages = [] 60 | targets = soup.find_all("div", class_="bd") 61 | for each in targets: 62 | try: 63 | messages.append(each.p.text.split('\n')[1].strip() + each.p.text.split('\n')[2].strip()) 64 | except: 65 | continue 66 | 67 | result = [] 68 | length = len(movies) 69 | for i in range(length): 70 | result.append(movies[i] + ranks[i] + messages[i] + '\n') 71 | 72 | return result 73 | 74 | 75 | # 找出一共有多少个页面 76 | def find_depth(res): 77 | soup = bs4.BeautifulSoup(res.text, 'html.parser') 78 | depth = soup.find('span', class_='next').previous_sibling.previous_sibling.text 79 | 80 | return int(depth) 81 | 82 | 83 | def main(): 84 | host = "https://movie.douban.com/top250" 85 | res = open_url(host) 86 | depth = find_depth(res) 87 | 88 | result = [] 89 | for i in range(depth): 90 | url = host + '/?start=' + str(25 * i) 91 | res = open_url(url) 92 | result.extend(find_movies(res)) 93 | 94 | with open("豆瓣TOP250电影.txt", "w", encoding="utf-8") as f: 95 | for each in result: 96 | f.write(each) 97 | 98 | 99 | if __name__ == "__main__": 100 | main() 101 | ``` 102 | 103 | ## txt转为excel 104 | 105 | image-20220826151342422 106 | 107 | ```python 108 | import requests 109 | import bs4 110 | import re 111 | import openpyxl 112 | 113 | def open_url(url): 114 | # 使用代理 115 | # proxies = {"http": "127.0.0.1:1080", "https": "127.0.0.1:1080"} 116 | headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.98 Safari/537.36'} 117 | 118 | # res = requests.get(url, headers=headers, proxies=proxies) 119 | res = requests.get(url, headers=headers) 120 | 121 | return res 122 | 123 | def find_movies(res): 124 | soup = bs4.BeautifulSoup(res.text, 'html.parser') 125 | 126 | # 电影名 127 | movies = [] 128 | targets = soup.find_all("div", class_="hd") 129 | for each in targets: 130 | movies.append(each.a.span.text) 131 | 132 | # 评分 133 | ranks = [] 134 | targets = soup.find_all("span", class_="rating_num") 135 | for each in targets: 136 | ranks.append(each.text) 137 | 138 | # 资料 139 | messages = [] 140 | targets = soup.find_all("div", class_="bd") 141 | for each in targets: 142 | try: 143 | messages.append(each.p.text.split('\n')[1].strip() + each.p.text.split('\n')[2].strip()) 144 | except: 145 | continue 146 | 147 | result = [] 148 | length = len(movies) 149 | for i in range(length): 150 | result.append([movies[i],ranks[i],messages[i]]) 151 | 152 | return result 153 | 154 | 155 | #保存为xlsx, import openpyxl 156 | def save_to_excel(result): 157 | wb = openpyxl.Workbook() 158 | ws = wb.active 159 | 160 | ws['A1'] = '电影名称' 161 | ws['B1'] = '评分' 162 | ws['C1'] = '资料' 163 | 164 | for each in result: 165 | ws.append(each) #each是一个列表元组，而不是字符串 166 | 167 | wb.save("豆瓣TOP250电影.xlsx") 168 | 169 | 170 | # 找出一共有多少个页面 171 | def find_depth(res): 172 | soup = bs4.BeautifulSoup(res.text, 'html.parser') 173 | depth = soup.find('span', class_='next').previous_sibling.previous_sibling.text 174 | 175 | return int(depth) 176 | 177 | def main(): 178 | host = "https://movie.douban.com/top250" 179 | res = open_url(host) 180 | depth = find_depth(res) 181 | 182 | result = [] 183 | for i in range(depth): 184 | url = host + '/?start=' + str(25 * i) 185 | res = open_url(url) 186 | result.extend(find_movies(res)) 187 | 188 | save_to_excel(result) 189 | 190 | if __name__ == "__main__": 191 | main() 192 | ``` 193 | 194 | 195 | 196 | # 打开工作簿 197 | 198 | image-20220826152523209 199 | 200 | # 处理工作表 201 | 202 | ## 获取名称 203 | 204 | image-20220826153106478 205 | 206 | ## 打开工作表 207 | 208 | image-20220826153152630 209 | 210 | ## 创建工作表 211 | 212 | image-20220826153226329 213 | 214 | ## 删除工作表 215 | 216 | ### 方法一 217 | 218 | image-20220826154353964 219 | 220 | ### 方法二 221 | 222 | image-20220826154419693 223 | 224 | ## 定位单元格 225 | 226 | image-20220826155142921 227 | 228 | ## 列数转换 229 | 230 | image-20220826160228425 231 | 232 | ## 切片 233 | 234 | image-20220826160304219 235 | 236 | image-20220826160319643 237 | 238 | image-20220826160346091 239 | 240 | ## 拷贝工作表 241 | 242 | image-20220826160804834 243 | 244 | ## 修改工作表标签颜色 245 | 246 | image-20220826161751036 247 | 248 | ## 调整行高和列宽 249 | 250 | image-20220826162934006 251 | 252 | ## 合并单元格 253 | 254 | ### 合并 255 | 256 | image-20220826170405889 257 | 258 | ### 拆分 259 | 260 | image-20220826170639510 261 | 262 | ## 冻结与解冻 263 | 264 | ### 冻结 265 | 266 | image-20220826172050459 267 | 268 | ### 解冻 269 | 270 | ![image-20220826172256133](pic/image-20220826172256133.png) 271 | -------------------------------------------------------------------------------- /PythonExcel/demo.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Wang-Ruiyang/DeepLearning/73fd90017ba33fffc2e6a8866bebdd1f6da6b3c7/PythonExcel/demo.xlsx -------------------------------------------------------------------------------- /PythonExcel/pic/image-20220826142055919.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Wang-Ruiyang/DeepLearning/73fd90017ba33fffc2e6a8866bebdd1f6da6b3c7/PythonExcel/pic/image-20220826142055919.png -------------------------------------------------------------------------------- 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print("正在调用funB……") 20 | 21 | funA = logger(msg="A")(funA) 22 | funB = logger(msg="B")(funB) 23 | funA() 24 | funB() 25 | -------------------------------------------------------------------------------- /PythonStudy/2.py: -------------------------------------------------------------------------------- 1 | def hanoi(n,x,y,z): 2 | if n==1: #只有一层了 3 | print(x,'-->',z) 4 | else: 5 | hanoi(n-1,x,z,y) #将x上n个移到z的问题 转为 将x上面n-1个移到y的问题 6 | print(x,'-->',z) #将x中剩下的唯一一个（也是最大的），移到z 7 | hanoi(n-1,y,x,z) #将y上的n-1（全部）移到z中，也就是以y为起点，移动到z 8 | 9 | n = int(input('请输入汉诺塔的层数:')) 10 | hanoi(n,'A','B','C') 11 | 12 | 13 | -------------------------------------------------------------------------------- /PythonStudy/3.py: -------------------------------------------------------------------------------- 1 | import pickle 2 | 3 | with open("data.pkl","rb") as f: 4 | x, y, z, s, l, d = pickle.load(f) 5 | 6 | print(x, y, z, s, l, d, sep="\n") 7 | -------------------------------------------------------------------------------- /PythonStudy/4.py: -------------------------------------------------------------------------------- 1 | class Turtle: #一般创建类都是首字母大写 2 | head = 1 3 | eyes = 2 4 | legs = 4 5 | shell = True 6 | 7 | def crawl(self): 8 | print("正在使用crawl方法") 9 | def run(self): 10 | print("正在使用run方法") 11 | def bite(self): 12 | print("正在使用bite方法") 13 | def eat(self): 14 | print("正在使用eat方法") 15 | def sleep(self): 16 | print("正在使用sleep方法") 17 | -------------------------------------------------------------------------------- /PythonStudy/5.py: -------------------------------------------------------------------------------- 1 | class Displayer: 2 | def display(self,message): 3 | print(message) 4 | 5 | class LoggerMixin: 6 | def log(self,message,filename="logfile.txt"): 7 | with open(filename,"a") as f: 8 | f.write(message) 9 | 10 | def display(self,message): 11 | super().display(message) 12 | self.log(message) 13 | 14 | class MySubClass(LoggerMixin,Displayer): 15 | def log(self,message): 16 | super().log(message,filename="subclasslog.txt") 17 | 18 | subclass = MySubClass() 19 | subclass.display("This is a test.") 20 | -------------------------------------------------------------------------------- /PythonStudy/data.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Wang-Ruiyang/DeepLearning/73fd90017ba33fffc2e6a8866bebdd1f6da6b3c7/PythonStudy/data.pkl -------------------------------------------------------------------------------- /PythonStudy/pic/image-20220701093124552.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Wang-Ruiyang/DeepLearning/73fd90017ba33fffc2e6a8866bebdd1f6da6b3c7/PythonStudy/pic/image-20220701093124552.png -------------------------------------------------------------------------------- /PythonStudy/pic/image-20220701093218609.png: 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**戳我点击🖱️[InstallMemo（AutoDL+VM+Local）](https://github.com/Wang-Ruiyang/DeepLeaning/tree/master/Install)** 4 | 5 | 6 | 7 | # GitHub上传文件 8 | 9 | | **第一次操作** | **更新操作** | 10 | | ------------------------------------ | --------------------------------- | 11 | | 1. 新建文件夹 | | 12 | | 2. `git init` | 1. `git init` | 13 | | 3. 将要上传的文件放入新文件夹中 | | 14 | | 4. `git add .` | 2. `git add .` | 15 | | 5. `git commit -m "你的提交信息"` | 3. `git commit -m "你的提交信息"` | 16 | | 6. `git remote add origin + httpurl` | | 17 | | 7. `git push -u origin master` | 4. `git push` | 18 | 19 | ## error 20 | 21 | ![image-20220909172631980](pic/image-20220909172631980.png) 22 | 23 | ```sh 24 | git pull --rebase origin master 25 | git push 26 | ``` 27 | 28 | 29 | 30 | # **学习记录** 31 | 32 | **[python基本语法学习（完）🖱️](https://github.com/Wang-Ruiyang/DeepLeaning/tree/master/PythonStudy)** 33 | 34 | **[python表格处理（更新）🖱️](https://github.com/Wang-Ruiyang/DeepLeaning/tree/master/PythonExcel)** 35 | 36 | **[python数据处理（更新）🖱️](https://github.com/Wang-Ruiyang/DeepLeaning/tree/master/PythonData)** 37 | 38 | **[爬虫（更新）🖱️](https://github.com/Wang-Ruiyang/DeepLeaning/tree/master/Spider)** 39 | -------------------------------------------------------------------------------- /Spider/.idea/.gitignore: -------------------------------------------------------------------------------- 1 | # 默认忽略的文件 2 | /shelf/ 3 | /workspace.xml 4 | # 基于编辑器的 HTTP 客户端请求 5 | /httpRequests/ 6 | # Datasource local storage ignored files 7 | /dataSources/ 8 | /dataSources.local.xml 9 | -------------------------------------------------------------------------------- /Spider/.idea/Spider.iml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /Spider/.idea/encodings.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | -------------------------------------------------------------------------------- /Spider/.idea/inspectionProfiles/profiles_settings.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 6 | -------------------------------------------------------------------------------- /Spider/.idea/misc.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | -------------------------------------------------------------------------------- /Spider/.idea/modules.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /Spider/.idea/sshConfigs.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /Spider/.idea/vcs.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | -------------------------------------------------------------------------------- /Spider/1.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 2, 6 | "metadata": { 7 | "collapsed": true, 8 | "pycharm": { 9 | "name": "#%%\n" 10 | } 11 | }, 12 | "outputs": [ 13 | { 14 | "name": "stdout", 15 | "output_type": "stream", 16 | "text": [ 17 | "\"涓滈儴鎴樺尯鏂伴椈鍙戣█浜烘柦姣呴檰鍐涘ぇ鏍′粖澶╋紙8鏈�28鏃ワ級琛ㄧず锛�8鏈�28鏃ワ紝缇�\"\"瀹夋彁鍧�\"\"鍙枫��\"\"閽辨柉娲涙柉缁村皵\"\"鍙峰贰娲嬭埌杩囪埅鍙版咕娴峰场骞跺叕寮�鐐掍綔锛屼腑鍥戒汉姘戣В鏀惧啗涓滈儴鎴樺尯瀵圭編鑸拌繃鑸�琛屽姩鍏ㄧ▼璺熺洃璀︽垝锛屼竴鍒囧姩鍚戝敖鍦ㄦ帉鎻°�傛垬鍖洪儴闃熶繚鎸侀珮搴︽垝澶囷紝闅忔椂鍋氬ソ鎸�璐ヤ换浣曟寫琛呭噯澶囥��\"\n", 18 | "\n", 19 | "\"鎹�\"\"涓滈儴鎴樺尯\"\"寰�淇″叕浼楀彿娑堟伅锛屼笢閮ㄦ垬鍖烘柊闂诲彂瑷�浜烘柦姣呴檰鍐涘ぇ鏍¤〃绀猴紝8鏈�28鏃ワ紝缇�\"\"瀹夋彁鍧�\"\"鍙枫��\"\"閽辨柉娲涙柉缁村皵\"\"鍙峰贰娲嬭埌杩囪埅鍙版咕娴峰场骞跺叕寮�鐐掍綔锛屼腑鍥戒汉姘戣В鏀惧啗涓滈儴鎴樺尯瀵圭編鑸拌繃鑸�琛屽姩鍏ㄧ▼璺熺洃璀︽垝锛屼竴鍒囧姩鍚戝敖鍦ㄦ帉鎻°�傛垬鍖洪儴闃熶繚鎸侀珮搴︽垝澶囷紝闅忔椂鍋氬ソ鎸�璐ヤ换浣曟寫琛呭噯澶囥��\"\n", 20 | "\n", 21 | "涓�鍥戒汉姘戣В鏀惧啗绌哄啗鑻�-35鎴樻満姝ｅ湪绌胯秺鍙版咕娴峰场銆�\n", 22 | "\n", 23 | "\"8鏈�4鏃ヨ嚦5鏃ワ紝鍙版咕娴峰场棣栬墭澶у瀷宸¤埅鏁戝姪鑸瑰紑灞曟湰宸¤埅鍛ㄦ湡鏈�鍚庨樁娈电殑宸¤埅琛屽姩——鍘﹂棬鏂版満鍦哄缓璁鹃」鐩�鍜屾硥宸炶嚦閲戦棬渚涙按绠＄嚎銆傜敱浜庡贰鑸�鏃堕棿杈冮暱锛岃�拌�呮湁鏈轰細杩戣窛绂昏�傚療\"\"娴峰贰06\"\"锛岃�╂垜浠�涓�璧峰幓鐪嬬湅锛岄�栨�″贰鑸�鎵ф硶鐨�\"\"娴峰贰06\"\"鍒板簳鏄�浠�涔堟牱鐨勶紵
\"\n", 24 | "\n", 25 | "\"7鏈�11鏃ユ槸鎴戝浗绗�18涓�鑸�娴锋棩锛屼氦閫氳繍杈撻儴娴蜂簨灞�澶у瀷娴蜂簨宸￠�昏埞浜ゆ帴鏆ㄥ垪缂栦华寮忎簬褰撴棩涓婂崍鍦ㄧ�忓缓骞虫江涓捐�岋紝鍙版咕娴峰场棣栬墭澶у瀷宸¤埅鏁戝姪鑸�\"\"娴峰贰06\"\"杞�姝ｅ紡鍒楃紪绂忓缓娴蜂簨灞�銆備氦閫氳繍杈撻儴瀹夊叏鎬荤洃銆佹捣浜嬪眬鍏氱粍涔﹁�般�佸眬闀挎潕鍥藉钩鍚�\"\"娴峰贰06\"\"杞�鎺堟捣浜嬫棗鍜屽叆鍒楄瘉涔︺��
\"\n", 26 | "\n", 27 | "\"鎹�\"\"涓滈儴鎴樺尯\"\"寰�淇″叕浼楀彿娑堟伅锛�8鏈�4鏃�13鏃惰�革紝涓�鍥戒汉姘戣В鏀惧啗涓滈儴鎴樺尯闄嗗啗閮ㄩ槦锛屽湪鍙版咕娴峰场瀹炴柦浜嗚繙绋嬬伀鍔涘疄寮瑰皠鍑昏��缁冿紝瀵瑰彴婀炬捣宄′笢閮ㄧ壒瀹氬尯鍩熻繘琛屼簡绮剧‘鎵撳嚮锛屽彇寰椾簡棰勬湡鏁堟灉銆�\"\n", 28 | "\n", 29 | "锛�6鏈�25鏃ワ紝涓滈儴鎴樺尯鏂伴椈鍙戣█浜烘柦姣呴檰鍐涘ぇ鏍¤〃绀猴紝6鏈�24鏃ワ紝缇庝竴鏋禤-8A鍙嶆綔宸￠�绘満绌胯埅鍙版咕娴峰场骞跺叕寮�鐐掍綔銆備腑鍥戒汉姘戣В鏀惧啗涓滈儴鎴樺尯缁勭粐绌轰腑鍜屽湴闈㈠叺鍔涘�圭編鏈鸿�屽姩鍏ㄧ▼璺熺洃璀︽垝銆傜編鏂硅�屼负钃勬剰骞叉壈鐮村潖鍦板尯灞�鍔匡紝鍗卞�冲彴娴峰拰骞崇ǔ瀹氾紝鎴戜滑瀵规�よ〃绀哄潥鍐冲弽瀵广�傛垬鍖洪儴闃熼殢鏃朵繚鎸侀珮搴︽垝澶囷紝鍧氬喅鎹嶅崼鍥藉�朵富鏉冨拰棰嗗湡瀹屾暣銆�\n", 30 | "\n", 31 | "\"涓滈儴鎴樺尯鏂伴椈鍙戣█浜烘柦姣呴檰鍐涘ぇ鏍¤〃绀猴紝7鏈�19鏃ワ紝缇�\"\"鏈�绂忓痉\"\"鍙峰�煎脊椹遍�愯埌杩囪埅鍙版咕娴峰场骞跺叕寮�鐐掍綔銆備腑鍥戒汉姘戣В鏀惧啗涓滈儴鎴樺尯缁勭粐娴风┖鍏靛姏鍏ㄧ▼璺熺洃璀︽垝銆傜編棰戦�戞寫琛呫�佷綔绉�閫犲娍锛屽厖鍒嗚�存槑缇庢槸鍙版捣鍜屽钩绋冲畾鐮村潖鑰呫�佸彴娴峰畨鍏ㄩ�庨櫓鍒堕�犺�呫�傛垬鍖洪儴闃熼殢鏃朵繚鎸侀珮搴︽垝澶囷紝鍧氬喅鎹嶅崼鍥藉�朵富鏉冨拰棰嗗湡瀹屾暣銆�\"\n", 32 | "\n", 33 | "\"涓滈儴鎴樺尯鏂伴椈鍙戣█浜烘柦姣呴檰鍐涘ぇ鏍¤〃绀猴紝3鏈�17鏃ワ紝缇�\"\"绾︾堪閫�\"\"鍙峰�煎脊椹遍�愯埌杩囪埅鍙版咕娴峰场骞跺叕寮�鐐掍綔銆備腑鍥戒汉姘戣В鏀惧啗涓滈儴鎴樺尯缁勭粐鍏靛姏瀵圭編鑸拌繃鑸�琛屽姩鍏ㄧ▼璺熺洃璀︽垝銆傜編鏂规�ょ被鎸戣�呰�屽緞锛屽悜\"\"鍙扮嫭\"\"鍔垮姏鍙戝嚭閿欒��淇″彿锛屾槸鍗佸垎鍗遍櫓鐨勩�傛垬鍖洪儴闃熼殢鏃朵繚鎸侀珮搴︽垝澶囷紝鍧氬喅鎹嶅崼鍥藉�朵富鏉冨畨鍏ㄥ拰鍦板尯鍜屽钩绋冲畾銆�\"\n", 34 | "\n" 35 | ] 36 | } 37 | ], 38 | "source": [ 39 | "!type army.csv" 40 | ] 41 | }, 42 | { 43 | "cell_type": "code", 44 | "execution_count": null, 45 | "outputs": [], 46 | "source": [], 47 | "metadata": { 48 | "collapsed": false, 49 | "pycharm": { 50 | "name": "#%%\n" 51 | } 52 | } 53 | } 54 | ], 55 | "metadata": { 56 | "kernelspec": { 57 | "display_name": "Python 3", 58 | "language": "python", 59 | "name": "python3" 60 | }, 61 | "language_info": { 62 | "codemirror_mode": { 63 | "name": "ipython", 64 | "version": 2 65 | }, 66 | "file_extension": ".py", 67 | "mimetype": "text/x-python", 68 | "name": "python", 69 | "nbconvert_exporter": "python", 70 | "pygments_lexer": "ipython2", 71 | "version": "2.7.6" 72 | } 73 | }, 74 | "nbformat": 4, 75 | "nbformat_minor": 0 76 | } -------------------------------------------------------------------------------- /Spider/army.csv: -------------------------------------------------------------------------------- 1 | "东部战区新闻发言人施毅陆军大校今天（8月28日）表示，8月28日，美""安提坦""号、""钱斯洛斯维尔""号巡洋舰过航台湾海峡并公开炒作，中国人民解放军东部战区对美舰过航行动全程跟监警戒，一切动向尽在掌握。战区部队保持高度戒备，随时做好挫败任何挑衅准备。" 2 | "据""东部战区""微信公众号消息，东部战区新闻发言人施毅陆军大校表示，8月28日，美""安提坦""号、""钱斯洛斯维尔""号巡洋舰过航台湾海峡并公开炒作，中国人民解放军东部战区对美舰过航行动全程跟监警戒，一切动向尽在掌握。战区部队保持高度戒备，随时做好挫败任何挑衅准备。" 3 | 中国人民解放军空军苏-35战机正在穿越台湾海峡。 4 | "8月4日至5日，台湾海峡首艘大型巡航救助船开展本巡航周期最后阶段的巡航行动————厦门新机场建设项目和泉州至金门供水管线。由于巡航时间较长，记者有机会近距离观察""海巡06""，让我们一起去看看，首次巡航执法的""海巡06""到底是什么样的？" 5 | "7月11日是我国第18个航海日，交通运输部海事局大型海事巡逻船交接暨列编仪式于当日上午在福建平潭举行，台湾海峡首艘大型巡航救助船""海巡06""轮正式列编福建海事局。交通运输部安全总监、海事局党组书记、局长李国平向""海巡06""轮授海事旗和入列证书。" 6 | "据""东部战区""微信公众号消息，8月4日13时许，中国人民解放军东部战区陆军部队，在台湾海峡实施了远程火力实弹射击训练，对台湾海峡东部特定区域进行了精确打击，取得了预期效果。" 7 | ：6月25日，东部战区新闻发言人施毅陆军大校表示，6月24日，美一架P-8A反潜巡逻机穿航台湾海峡并公开炒作。中国人民解放军东部战区组织空中和地面兵力对美机行动全程跟监警戒。美方行为蓄意干扰破坏地区局势，危害台海和平稳定，我们对此表示坚决反对。战区部队随时保持高度戒备，坚决捍卫国家主权和领土完整。 8 | "东部战区新闻发言人施毅陆军大校表示，7月19日，美""本福德""号导弹驱逐舰过航台湾海峡并公开炒作。中国人民解放军东部战区组织海空兵力全程跟监警戒。美频频挑衅、作秀造势，充分说明美是台海和平稳定破坏者、台海安全风险制造者。战区部队随时保持高度戒备，坚决捍卫国家主权和领土完整。" 9 | "东部战区新闻发言人施毅陆军大校表示，3月17日，美""约翰逊""号导弹驱逐舰过航台湾海峡并公开炒作。中国人民解放军东部战区组织兵力对美舰过航行动全程跟监警戒。美方此类挑衅行径，向""台独""势力发出错误信号，是十分危险的。战区部队随时保持高度戒备，坚决捍卫国家主权安全和地区和平稳定。" 10 | -------------------------------------------------------------------------------- /Spider/army.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Wang-Ruiyang/DeepLearning/73fd90017ba33fffc2e6a8866bebdd1f6da6b3c7/Spider/army.txt -------------------------------------------------------------------------------- /Spider/b.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | Title 6 | 7 | 8 | 13 |
    14 |
  1. 飞机
    2. 15 |
  2. 大炮
    3. 16 |
  3. 火车
    4. 17 |
18 |
李嘉诚
19 |
胡辣汤
20 | 21 | -------------------------------------------------------------------------------- /Spider/bizhi.py: -------------------------------------------------------------------------------- 1 | import requests 2 | from bs4 import BeautifulSoup 3 | import time 4 | 5 | url = "https://www.toopic.cn" 6 | 7 | header = { 8 | "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.27" 9 | } 10 | 11 | #获取页面源代码 12 | resp = requests.get(url, headers=header) 13 | resp.encoding = "utf-8" 14 | # print(resp.text) 15 | 16 | #解析数据，把页面源代码交给BeautifulSoup进行处理，生成bs对象 17 | main_page = BeautifulSoup(resp.text, "html.parser") #"html.parser"原来告诉解析器传入的是HTML，可以避免警告 18 | 19 | #提取图片子页面短链接 20 | alist = main_page.find("ul",attrs={"class":"clearfix pic-list gallery"}).find_all("a",attrs={"class":"pic"}) 21 | # print(alist) 22 | 23 | #合成子页面完整链接 24 | child_urls = [] 25 | for a in alist: 26 | child_urls.append(url+a.get("href")) #通过get()函数获取每个a标签中的href字段 27 | # print(child_urls) 28 | 29 | #生成图片链接 30 | img_url = [] 31 | for childul in child_urls: 32 | resp2 = requests.get(childul, headers=header) 33 | resp2.encoding = "utf-8" 34 | child_page = BeautifulSoup(resp2.text,"html.parser") 35 | imglist = child_page.find("div",attrs={"class":"preview-pic"}).find_all("img") 36 | for i in imglist: 37 | img_url.append(url+i.get("src")) 38 | # print(img_url) 39 | 40 | #下载图片 41 | for img in img_url: 42 | img_resp = requests.get(img) #获取图片请求 43 | img_name = img.split("/")[-1] #拿到url最后一个/之后的内容 44 | with open("img/"+img_name,mode="wb") as f: #能自动f.close() 45 | f.write(img_resp.content) #将文件以字节的形式写入 46 | print(img_name+"-over!") 47 | time.sleep(1) #休息1s，防止被系统干掉 48 | 49 | -------------------------------------------------------------------------------- /Spider/cctvjunshi.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import re 3 | import csv 4 | import time 5 | 6 | url = "https://search.cctv.com/search.php" 7 | 8 | header = { 9 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.27" 10 | } 11 | 12 | param = { 13 | "qtext": "台湾海峡", 14 | "sort": "relevance", 15 | "type": "web", 16 | "vtime": "", 17 | "datepid": "1", 18 | "channel": "新闻", 19 | "page": "1" 20 | } 21 | 22 | # 收纳子页面链接 23 | child_urls = [] 24 | obj1 = re.compile(r'
.*?.*?\|(?P.*?)
',re.S) 45 | 46 | obj3 = re.compile(r'
.*?(?P.*?)

' 47 | r'|
.*?

.*?>(?P.*?)

' 48 | r'|
.*?(?P.*?)

',re.S) 49 | 50 | #创建文件 51 | content_list = [] 52 | for ul in child_urls: 53 | print(ul) 54 | resp2 = requests.get(ul,headers=header) 55 | resp2.encoding = "utf-8" 56 | page_content2 = resp2.text 57 | result2 = obj2.finditer(page_content2) 58 | result3 = obj3.finditer(page_content2) 59 | for i1 in result2: 60 | print("".join(i1.group("ti").strip().split())) 61 | for i3 in result3: 62 | strs = "" 63 | if i3.group("content1") is not None and i3.group("content1") != "": 64 | strs = "".join(i3.group("content1").strip().split()) 65 | elif i3.group("content2") is not None and i3.group("content2") != "": 66 | strs = "".join(i3.group("content2").strip().split()) 67 | elif i3.group("content3") is not None and i3.group("content3") != "": 68 | strs = "".join(i3.group("content3").strip().split()) 69 | else: 70 | continue 71 | strs = strs.replace('“', '\"').replace('”', '\"').replace('—','——').replace("
","") 72 | content_list.append(strs) 73 | time.sleep(0.5) 74 | 75 | for i in content_list: 76 | print(i.split()) 77 | 78 | with open("army.csv",mode="w",encoding="utf-8") as f: 79 | csv_writer = csv.writer(f) 80 | for i in content_list: 81 | csv_writer.writerow(i.split()) 82 | 83 | print("over!") -------------------------------------------------------------------------------- /Spider/cctvnews_bs.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import re 3 | from bs4 import BeautifulSoup 4 | import csv 5 | 6 | url = "https://search.cctv.com/search.php" 7 | 8 | header = { 9 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.27" 10 | } 11 | 12 | param = { 13 | "qtext": "台湾海峡", 14 | "sort": "relevance", 15 | "type": "web", 16 | "vtime": "", 17 | "datepid": "1", 18 | "channel": "新闻", 19 | "page": "1" 20 | } 21 | 22 | rule = r'>(.*?)<' 23 | 24 | child_urls = [] 25 | 26 | for i in range(20): 27 | param["page"] = str(i) 28 | resp = requests.get(url, headers=header, params=param) 29 | resp.encoding = "utf-8" 30 | main_page = BeautifulSoup(resp.text, "html.parser") 31 | ul_list = main_page.find("div", attrs={"class": "tuwenjg"}).find("ul").find_all("li") 32 | for c in ul_list: 33 | child_urls.append(c.find("h3").find("span").get("lanmu1")) 34 | 35 | content_list = [] 36 | 37 | for u in child_urls: 38 | print(u) 39 | resp2 = requests.get(u, headers=header) 40 | resp2.encoding = "utf-8" 41 | child_page = BeautifulSoup(resp2.text, "html.parser") 42 | try: 43 | p_list = child_page.find("div", attrs={"class": "cnt_bd"}).find_all("p") 44 | except AttributeError as a: 45 | try: 46 | p_list = child_page.find("div", attrs={"class": "content_area"}).find("p", 47 | attrs={"style": "text-indent: 2em;"}) 48 | except AttributeError as a: 49 | try: 50 | p_list = child_page.find("div", attrs={"class": "content_area"}).find("p") 51 | except: 52 | pass 53 | st = "".join("".join(re.findall(rule, str(p_list))).strip().split()) 54 | content_list.append(st) 55 | 56 | 57 | with open("army_bs.csv", mode="w", encoding="utf-8") as f: 58 | csv_writer = csv.writer(f) 59 | for i in content_list: 60 | csv_writer.writerow(i.split()) 61 | 62 | print("over") -------------------------------------------------------------------------------- /Spider/dbtop250.csv: -------------------------------------------------------------------------------- 1 | 肖申克的救赎,1994,9.7,2689858 霸王别姬,1993,9.6,1994997 阿甘正传,1994,9.5,2019647 泰坦尼克号,1997,9.4,1978949 这个杀手不太冷,1994,9.4,2162983 美丽人生,1997,9.6,1239949 千与千寻,2001,9.4,2095918 辛德勒的名单,1993,9.6,1034527 盗梦空间,2010,9.4,1932442 星际穿越,2014,9.4,1635480 忠犬八公的故事,2009,9.4,1318581 楚门的世界,1998,9.3,1554387 海上钢琴师,1998,9.3,1573839 三傻大闹宝莱坞,2009,9.2,1750169 机器人总动员,2008,9.3,1237393 放牛班的春天,2004,9.3,1220571 无间道,2002,9.3,1252296 疯狂动物城,2016,9.2,1777037 大话西游之大圣娶亲,1995,9.2,1435811 熔炉,2011,9.3,873926 控方证人,1957,9.6,487095 教父,1972,9.3,895146 当幸福来敲门,2006,9.2,1425618 触不可及,2011,9.3,1011485 怦然心动,2010,9.1,1713386 龙猫,1988,9.2,1184398 末代皇帝,1987,9.3,805025 寻梦环游记,2017,9.1,1535583 蝙蝠侠：黑暗骑士,2008,9.2,988192 活着,1994,9.3,775426 哈利·波特与魔法石,2001,9.2,1083125 指环王3：王者无敌,2003,9.3,748068 乱世佳人,1939,9.3,644445 素媛,2013,9.3,636308 飞屋环游记,2009,9.1,1239356 我不是药神,2018,9.0,1963512 摔跤吧！爸爸,2016,9.0,1472446 何以为家,2018,9.1,970253 十二怒汉,1957,9.4,448317 哈尔的移动城堡,2004,9.1,943330 少年派的奇幻漂流,2012,9.1,1272085 鬼子来了,2000,9.3,580976 猫鼠游戏,2002,9.1,923625 大话西游之月光宝盒,1995,9.0,1144039 让子弹飞,2010,9.0,1573842 天空之城,1986,9.1,768275 钢琴家,2002,9.3,572078 指环王2：双塔奇兵,2002,9.2,699081 闻香识女人,1992,9.1,816189 海蒂和爷爷,2015,9.3,523386 天堂电影院,1988,9.2,642474 罗马假日,1953,9.1,895627 指环王1：护戒使者,2001,9.1,789202 黑客帝国,1999,9.1,784728 大闹天宫,1961(中国大陆) / 1964(中国大陆) / 1978(中国大陆),9.4,399013 死亡诗社,1989,9.1,661360 教父2,1974,9.3,508112 绿皮书,2018,8.9,1514396 辩护人,2013,9.2,554470 狮子王,1994,9.1,778510 搏击俱乐部,1999,9.0,793112 饮食男女,1994,9.2,571489 美丽心灵,2001,9.1,718387 本杰明·巴顿奇事,2008,9.0,921120 窃听风暴,2006,9.2,526900 穿条纹睡衣的男孩,2008,9.2,514566 情书,1995,8.9,1015795 两杆大烟枪,1998,9.1,559631 西西里的美丽传说,2000,8.9,912262 音乐之声,1965,9.1,560224 看不见的客人,2016,8.8,1165629 拯救大兵瑞恩,1998,9.1,604791 飞越疯人院,1975,9.1,518034 小鞋子,1997,9.2,380946 阿凡达,2009,8.8,1293406 哈利·波特与死亡圣器(下),2011,9.0,763245 沉默的羔羊,1991,8.9,820633 致命魔术,2006,8.9,801718 禁闭岛,2010,8.9,902166 布达佩斯大饭店,2014,8.9,856541 海豚湾,2009,9.3,341659 蝴蝶效应,2004,8.9,873912 美国往事,1984,9.2,385812 心灵捕手,1997,8.9,660783 低俗小说,1994,8.9,776469 春光乍泄,1997,9.0,587738 摩登时代,1936,9.3,277507 喜剧之王,1999,8.8,900707 功夫,2004,8.8,1017986 七宗罪,1995,8.8,890159 哈利·波特与阿兹卡班的囚徒,2004,8.9,653860 致命ID,2003,8.8,759883 超脱,2011,9.0,524509 杀人回忆,2003,8.9,653028 红辣椒,2006,9.1,419763 加勒比海盗,2003,8.8,804291 被嫌弃的松子的一生,2006,8.9,665598 狩猎,2012,9.1,358522 请以你的名字呼唤我,2017,8.9,666917 7号房的礼物,2013,8.9,516140 剪刀手爱德华,1990,8.7,985013 断背山,2005,8.8,668418 勇敢的心,1995,8.9,534204 唐伯虎点秋香,1993,8.7,998281 哈利·波特与密室,2002,8.8,680034 一一,2000,9.1,351326 入殓师,2008,8.9,621882 第六感,1999,8.9,518394 爱在黎明破晓前,1995,8.8,620947 重庆森林,1994,8.8,751940 蝙蝠侠：黑暗骑士崛起,2012,8.8,673259 天使爱美丽,2001,8.7,919013 幽灵公主,1997,8.9,490726 菊次郎的夏天,1999,8.9,553112 小森林 夏秋篇,2014,9.0,398681 阳光灿烂的日子,1994,8.9,575944 超能陆战队,2014,8.7,943176 完美的世界,1993,9.1,289162 爱在日落黄昏时,2004,8.9,511379 无人知晓,2004,9.1,293707 消失的爱人,2014,8.7,865576 借东西的小人阿莉埃蒂,2010,8.9,512981 甜蜜蜜,1996,8.9,492973 倩女幽魂,1987,8.8,684684 小森林 冬春篇,2015,9.0,355470 侧耳倾听,1995,8.9,430469 时空恋旅人,2013,8.8,606891 幸福终点站,2004,8.8,525790 驯龙高手,2010,8.8,707377 萤火之森,2011,8.9,494082 教父3,1990,9.0,342896 怪兽电力公司,2001,8.8,620091 寄生虫,2019,8.8,1279971 一个叫欧维的男人决定去死,2015,8.9,427421 玛丽和马克思,2009,8.9,403073 玩具总动员3,2010,8.9,476757 未麻的部屋,1997,9.1,297254 傲慢与偏见,2005,8.7,736885 大鱼,2003,8.8,535186 神偷奶爸,2010,8.6,891088 告白,2010,8.8,635929 釜山行,2016,8.6,1114344 被解救的姜戈,2012,8.8,566966 阳光姐妹淘,2011,8.8,564312 射雕英雄传之东成西就,1993,8.7,593629 哈利·波特与火焰杯,2005,8.7,592404 哪吒闹海,1979,9.1,239014 我是山姆,2001,9.0,313994 恐怖直播,2013,8.7,608665 新世界,2013,8.9,377155 头号玩家,2018,8.7,1278594 血战钢锯岭,2016,8.7,738976 模仿游戏,2014,8.8,599828 喜宴,1993,9.0,328672 七武士,1954,9.3,182312 花样年华,2000,8.7,555100 头脑特工队,2015,8.8,564731 黑客帝国3：矩阵革命,2003,8.8,419347 电锯惊魂,2004,8.8,492379 九品芝麻官,1994,8.7,611653 三块广告牌,2017,8.7,771155 达拉斯买家俱乐部,2013,8.8,424758 你的名字。,2016,8.5,1295950 卢旺达饭店,2004,8.9,305022 疯狂原始人,2013,8.7,789960 惊魂记,1960,9.0,261042 上帝之城,2002,9.0,284024 谍影重重3,2007,8.8,392766 心迷宫,2014,8.7,479166 英雄本色,1986,8.6,496620 风之谷,1984,8.9,336008 纵横四海,1991,8.8,391967 海街日记,2015,8.8,413290 色，戒,2007,8.6,710731 岁月神偷,2010,8.7,549224 记忆碎片,2000,8.7,566171 忠犬八公物语,1987,9.2,180076 爱在午夜降临前,2013,8.9,362233 绿里奇迹,1999,8.9,299170 荒蛮故事,2014,8.8,412170 茶馆,1982(中国大陆),9.5,114033 爆裂鼓手,2014,8.7,541731 小偷家族,2018,8.7,768613 贫民窟的百万富翁,2008,8.6,705360 无敌破坏王,2012,8.7,499854 疯狂的石头,2006,8.5,761331 东邪西毒,1994,8.6,542111 真爱至上,2003,8.6,682839 雨中曲,1952,9.1,202937 冰川时代,2002,8.6,574801 恐怖游轮,2009,8.5,786823 你看起来好像很好吃,2010,8.9,312502 黑天鹅,2010,8.6,745212 2001太空漫游,1968,8.9,291548 魔女宅急便,1989,8.7,426832 无间道2,2003,8.7,430158 遗愿清单,2007,8.7,412473 雨人,1988,8.7,379998 牯岭街少年杀人事件,1991,8.9,267018 恋恋笔记本,2004,8.6,625121 大佛普拉斯,2017,8.7,412683 可可西里,2004,8.9,281653 背靠背，脸对脸,1994,9.5,110629 小丑,2019,8.7,938421 城市之光,1931,9.3,133091 东京教父,2003,9.0,197817 源代码,2011,8.5,784996 萤火虫之墓,1988,8.7,386044 虎口脱险,1966,8.9,235955 初恋这件小事,2010,8.5,933944 人工智能,2001,8.7,414333 海边的曼彻斯特,2016,8.6,474700 罗生门,1950,8.8,291714 青蛇,1993,8.6,487832 终结者2：审判日,1991,8.8,319028 波西米亚狂想曲,2018,8.6,558574 心灵奇旅,2020,8.7,891400 奇迹男孩,2017,8.6,523122 疯狂的麦克斯4：狂暴之路,2015,8.6,490691 二十二,2015,8.7,277997 新龙门客栈,1992,8.7,412587 房间,2015,8.8,351893 无耻混蛋,2009,8.6,441671 千钧一发,1997,8.8,268364 血钻,2006,8.7,353586 彗星来的那一夜,2013,8.5,523891 黑客帝国2：重装上阵,2003,8.7,379788 步履不停,2008,8.8,259062 崖上的波妞,2008,8.6,449792 魂断蓝桥,1940,8.8,259103 战争之王,2005,8.7,340265 爱乐之城,2016,8.4,817315 谍影重重2,2004,8.7,329546 燃情岁月,1994,8.8,269783 末路狂花,1991,8.9,221337 火星救援,2015,8.5,668642 阿飞正传,1990,8.5,473036 千年女优,2001,8.8,237922 再次出发之纽约遇见你,2013,8.6,401446 谍影重重,2002,8.6,396707 海洋,2009,9.1,151207 朗读者,2008,8.6,432902 穿越时空的少女,2006,8.6,360492 香水,2006,8.5,515501 地球上的星星,2007,8.9,192594 我爱你,2011,9.1,155185 完美陌生人,2016,8.5,496845 花束般的恋爱,2021,8.6,489962 弱点,2009,8.7,272070 哈利·波特与死亡圣器(上),2010,8.5,511586 -------------------------------------------------------------------------------- /Spider/doubantop250.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import re 3 | import csv 4 | 5 | url = "https://movie.douban.com/top250" 6 | 7 | header = { 8 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.27" 9 | } 10 | 11 | param = { 12 | "start": "", 13 | "filter": "" 14 | } 15 | 16 | f = open("dbtop250.csv",mode="w",encoding="utf-8") 17 | csvwriter = csv.writer(f) 18 | 19 | #for i in range(0,250,25): 20 | i = 0 21 | while i<250: 22 | param["start"] = str(i) 23 | resp = requests.get(url, headers=header, params=param) 24 | page_content = resp.text 25 | obj = re.compile(r'
  • .*?
    .*?(?P.*?)' 26 | r'.*?

    .*?
    (?P.*?) .*?' 27 | r'(?P.*?).*?' 28 | r'(?P.*?)人评价', re.S) 29 | result = obj.finditer(page_content) 30 | for it in result: 31 | dic = it.groupdict() # 将数据存成字典的格式 32 | dic["year"] = dic["year"].strip() 33 | csvwriter.writerow(dic.values()) # 将字典的数据写入csv的每一行 34 | i += 25 35 | 36 | f.close() 37 | print("over!") -------------------------------------------------------------------------------- /Spider/dytt8.py: -------------------------------------------------------------------------------- 1 | import re 2 | import requests 3 | import csv 4 | 5 | base_url = "https://dy.dytt8.net/" 6 | url = "https://dy.dytt8.net/index2.htm" 7 | 8 | header = { 9 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.27" 10 | } 11 | 12 | # resp.text为源代码 13 | resp = requests.get(url, headers=header) #如果有安全验证，则加上 verify=False 字段 14 | resp.encoding = "gb2312" #和网站定义编码一致 15 | 16 | #正则表达式模板，提取电影链接（多个） 17 | obj = re.compile(r"最新华语电视剧推荐.*?

      (?P.*?)
    ",re.S) 18 | #从很多链接等字符串中区分出链接 19 | obj2 = re.compile(r"2022年内地电视剧.*?
    ",re.S) 20 | 21 | result = obj.finditer(resp.text) 22 | child_url_list = [] 23 | 24 | for i in result: 25 | # print(i.group("mvsul")) 26 | result2 = obj2.finditer(i.group("mvsul")) 27 | for ii in result2: 28 | # print(ii.group("movieul")) 29 | child_href = base_url + ii.group("movieul") 30 | child_url_list.append(child_href) #将子页面链接保存到列表 31 | # print(child_href) 32 | 33 | # print(child_url_list) 34 | 35 | #遍历子页面链接列表，进入每一个链接，提取需要的内容 36 | obj3 = re.compile(r"2022年内地电视剧(?P<name>.*?)迅雷下载_电影天堂.*?【下载地址】.*?

    (?P.*?)
    ",re.S) 37 | obj4 = re.compile(r'.*?    .*?)">ftp:.*?',re.S) 38 | ul_dir ={} 39 | 40 | f = open("moviedown.csv",mode="w",encoding="utf-8") 41 | csvwriter = csv.writer(f) 42 | 43 | for href in child_url_list: 44 | resp2 = requests.get(href, headers=header) 45 | resp2.encoding = "gb2312" 46 | result3 = obj3.finditer(resp2.text) 47 | ul_list = [] 48 | for us in result3: 49 | # print(u.group("download_ul")) 50 | result4 = obj4.finditer(us.group("download_uls")) 51 | for u in result4: 52 | ul_list.append(u.group("downul")) 53 | ul_dir[us.group("name")] = ul_list #将列表放入字典中，key为剧名 54 | 55 | csvwriter.writerow(ul_dir.values()) # 将字典的数据写入csv的每一行 56 | 57 | f.close() 58 | -------------------------------------------------------------------------------- /Spider/fanyi_requests.py: -------------------------------------------------------------------------------- 1 | import requests 2 | 3 | url = 'https://fanyi.baidu.com/sug' 4 | 5 | s = input("输入你要翻译的英文：") 6 | #发送的数据必须放在字典中，通过data参数进行传递 7 | ever = { 8 | "kw": s 9 | } 10 | 11 | #发送post请求 12 | resp = requests.post(url,data=ever) 13 | print(resp.json()) #将服务器返回的内容直接处理成json => dict字典 -------------------------------------------------------------------------------- /Spider/first_test.py: -------------------------------------------------------------------------------- 1 | from urllib.request import urlopen 2 | 3 | url = "http://www.baidu.com" 4 | resp = urlopen(url) #打开网址，返回数据 5 | 6 | with open("mybaidu.html",mode="w") as f: 7 | f.write(resp.read().decode("utf-8")) 8 | -------------------------------------------------------------------------------- /Spider/img/1638860262874163886026265.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Wang-Ruiyang/DeepLearning/73fd90017ba33fffc2e6a8866bebdd1f6da6b3c7/Spider/img/1638860262874163886026265.jpg -------------------------------------------------------------------------------- /Spider/img/1638860271747163886027116.jpg: 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19,南开大学,天津,综合,402.1,32.4 20 | 20,北京理工大学,北京,理工,395.6,31.9 21 | 21,天津大学,天津,理工,390.3,32.6 22 | 22,山东大学,山东,综合,387.9,28.8 23 | 23,厦门大学,福建,综合,383.3,32.7 24 | 24,吉林大学,吉林,综合,379.5,29.9 25 | 25,华南理工大学,广东,理工,379.4,30.4 26 | 26,中南大学,湖南,综合,378.6,30.6 27 | 27,大连理工大学,辽宁,理工,365.1,30.1 28 | 28,西北工业大学,陕西,理工,359.6,32.5 29 | 29,华东师范大学,上海,师范,358.0,32.6 30 | 30,中国农业大学,北京,农业,351.5,30.9 31 | -------------------------------------------------------------------------------- /Spider/keruantop.py: -------------------------------------------------------------------------------- 1 | import requests 2 | from bs4 import BeautifulSoup 3 | import csv 4 | 5 | url = "https://www.shanghairanking.cn/rankings/bcur/202011" 6 | 7 | header = { 8 | "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.27" 9 | } 10 | 11 | resp = requests.get(url,headers=header) 12 | resp.encoding = "utf-8" 13 | 14 | #解析数据，把页面源代码交给BeautifulSoup进行处理，生成bs对象 15 | page = BeautifulSoup(resp.text, "html.parser") #"html.parser"原来告诉解析器传入的是HTML，可以避免警告 16 | 17 | #从bs对象中查找属性 18 | # table = page.find("table", class_="rk-table") #查找class="rk-table"的table标签，因为class是python关键字，所以bs可以在class后加一个_，以作区分 19 | table = page.find("table",attrs={"class":"rk-table"}) #与上面的效果等同 20 | # print(table) 21 | 22 | #删掉表头 23 | trs = table.find_all("tr")[1:] #将每一个tr（行）提取出来，并作切片，删去第一行（表头） 24 | 25 | #创建csv 26 | f = open("keruan.csv",mode="w",encoding="utf-8") 27 | csvwriter = csv.writer(f) 28 | 29 | for tr in trs: 30 | tds = tr.find_all("td") 31 | num = tds[0].text.strip() 32 | name = tr.find("a",attrs={"class":"name-cn"}).text.strip() 33 | city = tds[2].text.strip() 34 | type = tds[3].text.strip() 35 | score = tds[4].text.strip() 36 | level = tds[5].text.strip() 37 | csvwriter.writerow([num, name, city, type, score, level]) 38 | 39 | f.close() -------------------------------------------------------------------------------- /Spider/mybaidu.html: 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    联通
    5 |
    移动
    6 |
    电信
    7 |
    广电
    8 |
    铁通
    9 | """ 10 | 11 | obj = re.compile(r"
    (?P.*?)
    ", re.S) 12 | 13 | result = obj.finditer(s) 14 | 15 | for it in result: 16 | print(it.group("id")) 17 | print(it.group("name")) -------------------------------------------------------------------------------- /Spider/readcsv.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | 3 | df = pd.read_csv("army.csv",header=None) 4 | print(len(df.values)) 5 | 6 | datalist = df.values.tolist() 7 | 8 | for i in range(len(datalist)): 9 | print(datalist[i]) 10 | 11 | # for i in data: 12 | # print(i) 13 | # print() -------------------------------------------------------------------------------- /Spider/requests_test.py: -------------------------------------------------------------------------------- 1 | import requests 2 | 3 | query = input("输入你要查找的信息：") 4 | 5 | url = f'http://www.baidu.com/s?wd={query}' 6 | 7 | #伪装成非机器 8 | dic = { 9 | "User-Agernt": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.27" 10 | } 11 | 12 | resp = requests.get(url,headers=dic) #处理一个小小的反爬机制 13 | 14 | print(resp) 15 | print(resp.text) -------------------------------------------------------------------------------- /Spider/test.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import re 3 | 4 | url = "https://news.cctv.com/2022/04/27/ARTIAnlmqHd67dCvokvBsmCv220427.shtml" 5 | 6 | header = { 7 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.27" 8 | } 9 | 10 | obj1 = re.compile(r'
    .*?(?P.*?)

    ',re.S) 11 | 12 | resp = requests.get(url,headers=header) 13 | resp.encoding = "utf-8" 14 | page_content = resp.text 15 | result = obj1.finditer(page_content) 16 | 17 | for i in result: 18 | print(i.group("content1") is not None and i.group("content1") != "") 19 | 20 | -------------------------------------------------------------------------------- /Spider/test3.py: -------------------------------------------------------------------------------- 1 | import requests 2 | 3 | # url = "https://movie.douban.com/j/chart/top_list?type=11&interval_id=100%3A90&action=&start=0&limit=20" 4 | url = "https://movie.douban.com/j/chart/top_list" 5 | 6 | param = { 7 | "type": "11", 8 | "interval_id": "100:90", 9 | "action": "", 10 | "start": "0", #翻页时会变 11 | "limit": "20" 12 | } 13 | 14 | header = { 15 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.27" 16 | } 17 | 18 | resp = requests.get(url=url,params=param,headers=header) 19 | 20 | # print(resp.request.url) #https://movie.douban.com/j/chart/top_list?type=11&interval_id=100%3A90&action=&start=0&limit=20 21 | # print(resp.request.headers) #{'User-Agent': 'python-requests/2.28.1', 'Accept-Encoding': 'gzip, deflate, br', 'Accept': '*/*', 'Connection': 'keep-alive'} 22 | print(resp.text) -------------------------------------------------------------------------------- /Spider/test4.py: -------------------------------------------------------------------------------- 1 | import re 2 | 3 | template = "我要听<歌手名>的<歌曲名>" 4 | 5 | 6 | def subString(template): 7 | rule = r'<(.*?)>' # 正则规则 8 | slotList = re.findall(rule, template) 9 | return slotList 10 | 11 | slotList = subString(template) 12 | for slot in slotList: 13 | print(slot) 14 | -------------------------------------------------------------------------------- /Spider/test5.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import re 3 | from bs4 import BeautifulSoup 4 | import time 5 | 6 | url = "https://news.cctv.com/2022/08/28/ARTIxm50Po9nW6d27wAAsFw8220828.shtml" 7 | 8 | header = { 9 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.27" 10 | } 11 | 12 | rule = r'>(.*?)<' 13 | 14 | resp2 = requests.get(url, headers=header) 15 | resp2.encoding = "utf-8" 16 | child_page = BeautifulSoup(resp2.text, "html.parser") 17 | 18 | try: 19 | p_list = child_page.find("div", attrs={"class": "cnt_bd"}).find_all("p") 20 | except AttributeError as a: 21 | try: 22 | p_list = child_page.find("div", attrs={"class": "content_area"}).find("p", attrs={"style": "text-indent: 2em;"}) 23 | except AttributeError as a: 24 | try: 25 | p_list = child_page.find("div", attrs={"class": "content_area"}).find("p") 26 | except: 27 | pass 28 | 29 | 30 | st = "".join("".join(re.findall(rule, str(p_list))).strip().split()) 31 | print(st) 32 | # for p in p_list: 33 | # print(p) -------------------------------------------------------------------------------- /Spider/xpath_test.py: -------------------------------------------------------------------------------- 1 | from lxml import etree 2 | 3 | xml = """ 4 | 5 | 6 | Colombia Earthquake 7 | 8 | 9 | 10 | 143 Dead in Colombia Earthquake 11 | 12 | 13 | By Jared Kotler, Associated Press Writer 14 | 15 | Monday January 25 2000 16 | 17 | Bogota, Colombia 18 | Monday January 25 1999 7:28 ET 19 | 20 |
    21 | Monday January 25 3000 22 |
    23 | 24 |     25 | """ 26 | 27 | tree = etree.XML(xml) 28 | # result = tree.xpath("/nitf/head/title/text()") 29 | # result = tree.xpath("/nitf/head/text()") 30 | # result = tree.xpath("/nitf/head/title/text()") #['Colombia Earthquake'] 31 | 32 | # result = tree.xpath("/nitf/body/date/text()") #['Monday January 25 2000'] 33 | # result = tree.xpath("/nitf/body//date/text()") # 后代 ['Monday January 25 2000', 'Monday January 25 1999 7:28 ET', 'Monday January 25 3000'] 34 | # result = tree.xpath("/nitf/body/*/date/text()") # 通配符 ['Monday January 25 1999 7:28 ET', 'Monday January 25 3000'] 35 | result = tree.xpath("/nitf//date/text()") #nift下的所有date的信息提取出来 ['Monday January 25 2000', 'Monday January 25 1999 7:28 ET', 'Monday January 25 3000'] 36 | print(result) -------------------------------------------------------------------------------- /Spider/xpath_test2.py: -------------------------------------------------------------------------------- 1 | from lxml import etree 2 | 3 | tree = etree.parse("b.html") 4 | 5 | # result = tree.xpath('/html') 6 | # result = tree.xpath('/html/body/ul/li/a/text()') #['百度', '谷歌', '搜狗'] 7 | # result = tree.xpath('/html/body/ul/li[1]/a/text()') #['百度'] 8 | # result = tree.xpath('/html/body/ol/li/a[@href="dapao"]/text()') #['大炮'] 9 | 10 | ol_li_list = tree.xpath("/html/body/ol/li") 11 | for li in ol_li_list: 12 | result = li.xpath("./a/text()") #在li中继续去寻找，是相对查找，需要./开头 13 | print(result) 14 | result2 = li.xpath("./a/@href") #拿到标签的属性数据 15 | print(result2) 16 | 17 | print(tree.xpath("/html/body/ul/li/a/@href")) #一次性获得要求的所有节点的href，['http://www.baidu.com', 'http://www.google.com', 'http://www.sogou.com'] 18 | 19 | print(tree.xpath('/html/body/div[1]/text()')) #利用浏览器的源码复制 -------------------------------------------------------------------------------- /Spider/zhubajie.py: -------------------------------------------------------------------------------- 1 | import requests 2 | from lxml import etree 3 | 4 | url = "https://hubei.zbj.com/search/service" 5 | 6 | header = { 7 | "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.27" 8 | } 9 | 10 | param = { 11 | "kw": "saas", 12 | "r": "1" 13 | } 14 | 15 | resp = requests.get(url,headers=header,params=param) 16 | 17 | # print(resp.text) 18 | 19 | #解析 20 | html = etree.HTML(resp.text) 21 | 22 | #拿到每一个服务商的div 23 | divs = html.xpath("/html/body/div[2]/div/div/div[3]/div/div[3]/div[4]/div[1]/div") #最后一个div[1]改为div 24 | print(divs) 25 | for div in divs: 26 | price = div.xpath("./div/div[3]/div[1]/span/text()") #用相对路径找到 27 | print(price) -------------------------------------------------------------------------------- /pic/image-20220909172631980.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Wang-Ruiyang/DeepLearning/73fd90017ba33fffc2e6a8866bebdd1f6da6b3c7/pic/image-20220909172631980.png -------------------------------------------------------------------------------- /upload.bat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Wang-Ruiyang/DeepLearning/73fd90017ba33fffc2e6a8866bebdd1f6da6b3c7/upload.bat --------------------------------------------------------------------------------