那些有趣、用的 Python 库

图片处理

pip install pillow from PIL import Image import numpy as np a = np.array(Image.open('test.jpg')) b = [255,255,255] - a im = Image.fromarray(b.astype('uint8')) im.save('new.jpg')

Parse Redis dump.rdb

pip install rdbtools > rdb --command json /var/redis/6379/dump.rdb [{ "user003":{"fname":"Ron","sname":"Bumquist"}, "lizards":["Bush anole","Jackson's chameleon","Komodo dragon","Ground agama","Bearded dragon"], "user001":{"fname":"Raoul","sname":"Duke"}, "user002":{"fname":"Gonzo","sname":"Dr"}, "user_list":["user003","user002","user001"]},{ "baloon":{"helium":"birthdays","medical":"angioplasty","weather":"meteorology"}, "armadillo":["chacoan naked-tailed","giant","Andean hairy","nine-banded","pink fairy"], "aroma":{"pungent":"vinegar","putrid":"rotten eggs","floral":"roses"}}]

youtube-dl下载国外视频

pip install youtube-dl #直接安装youtube-dl pip install -U youtube-dl #安装youtube-dl并更新 youtube-dl "http://www.youtube.com/watch?v=-wNyEUrxzFU"

asciinema录制命令行操作

pip3 install asciinema asciinema rec asciinema play https://asciinema.org/a/132560 <script type="text/javascript" src="https://asciinema.org/a/132560.js" id="asciicast-132560" async></script>

查看对象的全部属性和方法

pip install pdir2 >>> import pdir,requests >>> pdir(requests) module attribute: __cached__, __file__, __loader__, __name__, __package__, __path__, __spec__ other: __author__, __build__, __builtins__, __copyright__, __license__, __title__, __version__, _internal_utils, adapters, api, auth, certs, codes, compat, cookies , exceptions, hooks, logging, models, packages, pyopenssl, sessions, status_code s, structures, utils, warnings special attribute: __doc__ class: NullHandler: This handler does nothing. It's intended to be used to avoid th e PreparedRequest: The fully mutable :class:`PreparedRequest <PreparedRequest> ` object, Request: A user-created :class:`Request <Request>` object. Response: The :class:`Response <Response>` object, which contains a Session: A Requests session. exception: ConnectTimeout: The request timed out while trying to connect to the remote server. ConnectionError: A Connection error occurred. DependencyWarning: Warned when an attempt is made to import a module with mi ssing optional FileModeWarning: A file was opened in text mode, but Requests determined its binary length. HTTPError: An HTTP error occurred. ReadTimeout: The server did not send any data in the allotted amount of time . RequestException: There was an ambiguous exception that occurred while handl ing your Timeout: The request timed out. TooManyRedirects: Too many redirects. URLRequired: A valid URL is required to make a request. function: delete: Sends a DELETE request. get: Sends a GET request. head: Sends a HEAD request. options: Sends a OPTIONS request. patch: Sends a PATCH request. post: Sends a POST request. put: Sends a PUT request. request: Constructs and sends a :class:`Request <Request>`. session: Returns a :class:`Session` for context-management.

Python 玩转网易云音乐

#https://github.com/ziwenxie/netease-dl pip install netease-dl pip install ncmbot import ncmbot #登录 bot = ncmbot.login(phone='xxx', password='yyy') bot.content # bot.json() #获取用户歌单 ncmbot.user_play_list(uid='36554272')

下载视频字幕

pip install getsub

Python 财经数据接口包

pip install tushare import tushare as ts #一次性获取最近一个日交易日所有股票的交易数据 ts.get_today_all() 代码，名称，涨跌幅，现价，开盘价，最高价，最低价，最日收盘价，成交量，换手率 code name changepercent trade open high low settlement \ 0 002738 中矿资源 10.023 19.32 19.32 19.32 19.32 17.56 1 300410 正业科技 10.022 25.03 25.03 25.03 25.03 22.75 2 002736 国信证券 10.013 16.37 16.37 16.37 16.37 14.88 3 300412 迦南科技 10.010 31.54 31.54 31.54 31.54 28.67 4 300411 金盾股份 10.007 29.68 29.68 29.68 29.68 26.98 5 603636 南威软件 10.006 38.15 38.15 38.15 38.15 34.68 6 002664 信质电机 10.004 30.68 29.00 30.68 28.30 27.89 7 300367 东方网力 10.004 86.76 78.00 86.76 77.87 78.87 8 601299 中国北车 10.000 11.44 11.44 11.44 11.29 10.40 9 601880 大连港 10.000 5.72 5.34 5.72 5.22 5.20 10 000856 冀东装备 10.000 8.91 8.18 8.91 8.18 8.10

开源漏洞靶场

# 安装pip curl -s https://bootstrap.pypa.io/get-pip.py | python3 # 安装docker apt-get update && apt-get install docker.io # 启动docker服务 service docker start # 安装compose pip install docker-compose # 拉取项目 git clone git@github.com:phith0n/vulhub.git cd vulhub # 进入某一个漏洞/环境的目录 cd nginx_php5_mysql # 自动化编译环境 docker-compose build # 启动整个环境 docker-compose up -d #测试完成后，删除整个环境 docker-compose down

北京实时公交

pip install -r requirements.txt 安装依赖 python manage.py build_cache 获取离线数据，建立本地缓存 #项目自带了一个终端中的查询工具作为例子，运行： python manage.py cli >>> from beijing_bus import BeijingBus >>> lines = BeijingBus.get_all_lines() >>> lines [<Line: 运通122(农业展览馆-华纺易城公交场站)>, <Line: 运通101(广顺南大街北口-蓝龙家园)>, ...] >>> lines = BeijingBus.search_lines('847') >>> lines [<Line: 847(马甸桥西-雷庄村)>, <Line: 847(雷庄村-马甸桥西)>] >>> line = lines[0] >>> print line.id, line.name 541 847(马甸桥西-雷庄村) >>> line.stations [<Station 马甸桥西>, <Station 马甸桥东>, <Station 安华桥西>, ...] >>> station = line.stations[0] >>> print station.name, station.lat, station.lon 马甸桥西 39.967721 116.372921 >>> line.get_realtime_data(1) # 参数为站点的序号，从1开始 [ { 'id': 公交车id, 'lat': 公交车的位置, 'lon': 公交车位置, 'next_station_name': 下一站的名字, 'next_station_num': 下一站的序号, 'next_station_distance': 离下一站的距离, 'next_station_arriving_time': 预计到达下一站的时间, 'station_distance': 离本站的距离, 'station_arriving_time': 预计到达本站的时间, }, ... ]

文章提取器

git clone https://github.com/grangier/python-goose.git cd python-goose pip install -r requirements.txt python setup.py install >>> from goose import Goose >>> from goose.text import StopWordsChinese >>> url = 'http://www.bbc.co.uk/zhongwen/simp/chinese_news/2012/12/121210_hongkong_politics.shtml' >>> g = Goose({'stopwords_class': StopWordsChinese}) >>> article = g.extract(url=url) >>> print article.cleaned_text[:150] 香港行政长官梁振英在各方压力下就其大宅的违章建筑（僭建）问题到立法会接受质询，并向香港民众道歉。 梁振英在星期二（12月10日）的答问大会开始之际在其演说中道歉，但强调他在违章建筑问题上没有隐瞒的意图和动机。 一些亲北京阵营议员欢迎梁振英道歉，且认为应能获得香港民众接受，但这些议员也质问梁振英有

Python 艺术二维码生成器

pip install MyQR myqr https://github.com myqr https://github.com -v 10 -l Q

伪装浏览器身份

pip install fake-useragent from fake_useragent import UserAgent ua = UserAgent() ua.ie # Mozilla/5.0 (Windows; U; MSIE 9.0; Windows NT 9.0; en-US); ua.msie # Mozilla/5.0 (compatible; MSIE 10.0; Macintosh; Intel Mac OS X 10_7_3; Trident/6.0)' ua['Internet Explorer'] # Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.1; Trident/4.0; GTB7.4; InfoPath.2; SV1; .NET CLR 3.3.69573; WOW64; en-US) ua.opera # Opera/9.80 (X11; Linux i686; U; ru) Presto/2.8.131 Version/11.11 ua.chrome # Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.2 (KHTML, like Gecko) Chrome/22.0.1216.0 Safari/537.2'

美化 curl

pip install httpstat httpstat httpbin.org/get

python shell

pip install sh from sh import ifconfig print ifconfig("eth0")

处理中文文本内容

pip install -U textblob#英文文本的情感分析 pip install snownlp#中文文本的情感分析 from snownlp import SnowNLP text = "I am happy today. I feel sad today." from textblob import TextBlob blob = TextBlob(text) TextBlob("I am happy today. I feel sad today.") blob.sentiment Sentiment(polarity=0.15000000000000002, subjectivity=1.0) s = SnowNLP(u'这个东西真心很赞') s.words # [u'这个', u'东西', u'真心', # u'很', u'赞'] s.tags # [(u'这个', u'r'), (u'东西', u'n'), # (u'真心', u'd'), (u'很', u'd'), # (u'赞', u'Vg')] s.sentiments # 0.9769663402895832 positive的概率 s.pinyin # [u'zhe', u'ge', u'dong', u'xi', # u'zhen', u'xin', u'hen', u'zan'] s = SnowNLP(u'「繁體字」「繁體中文」的叫法在臺灣亦很常見。') s.han # u'「繁体字」「繁体中文」的叫法 # 在台湾亦很常见。'

抓取发放代理

pip install -U getproxy ➜ ~ getproxy --help Usage: getproxy [OPTIONS] Options: --in-proxy TEXT Input proxy file --out-proxy TEXT Output proxy file --help Show this message and exit.

• --in-proxy 可选参数，待验证的 proxies 列表文件
• --out-proxy 可选参数，输出已验证的 proxies 列表文件，如果为空，则直接输出到终端

--in-proxy 文件格式和 --out-proxy 文件格式一致

zhihu api

pip install git+git://github.com/lzjun567/zhihu-api --upgrade from zhihu import Zhihu zhihu = Zhihu() zhihu.user(user_slug="xiaoxiaodouzi") {'avatar_url_template': 'https://pic1.zhimg.com/v2-ca13758626bd7367febde704c66249ec_{size}.jpg', 'badge': [], 'name': '我是小号', 'headline': '程序员', 'gender': -1, 'user_type': 'people', 'is_advertiser': False, 'avatar_url': 'https://pic1.zhimg.com/v2-ca13758626bd7367febde704c66249ec_is.jpg', 'url': 'http://www.zhihu.com/api/v4/people/1da75b85900e00adb072e91c56fd9149', 'type': 'people', 'url_token': 'xiaoxiaodouzi', 'id': '1da75b85900e00adb072e91c56fd9149', 'is_org': False}

Python 密码泄露查询模块

pip install leakPasswd import leakPasswd leakPasswd.findBreach('taobao')

解析 nginx 访问日志并格式化输出

pip install ngxtop $ ngxtop running for 411 seconds, 64332 records processed: 156.60 req/sec Summary: | count | avg_bytes_sent | 2xx | 3xx | 4xx | 5xx | |---------+------------------+-------+-------+-------+-------| | 64332 | 2775.251 | 61262 | 2994 | 71 | 5 | Detailed: | request_path | count | avg_bytes_sent | 2xx | 3xx | 4xx | 5xx | |------------------------------------------+---------+------------------+-------+-------+-------+-------| | /abc/xyz/xxxx | 20946 | 434.693 | 20935 | 0 | 11 | 0 | | /xxxxx.json | 5633 | 1483.723 | 5633 | 0 | 0 | 0 | | /xxxxx/xxx/xxxxxxxxxxxxx | 3629 | 6835.499 | 3626 | 0 | 3 | 0 | | /xxxxx/xxx/xxxxxxxx | 3627 | 15971.885 | 3623 | 0 | 4 | 0 | | /xxxxx/xxx/xxxxxxx | 3624 | 7830.236 | 3621 | 0 | 3 | 0 | | /static/js/minified/utils.min.js | 3031 | 1781.155 | 2104 | 927 | 0 | 0 | | /static/js/minified/xxxxxxx.min.v1.js | 2889 | 2210.235 | 2068 | 821 | 0 | 0 | | /static/tracking/js/xxxxxxxx.js | 2594 | 1325.681 | 1927 | 667 | 0 | 0 | | /xxxxx/xxx.html | 2521 | 573.597 | 2520 | 0 | 1 | 0 | | /xxxxx/xxxx.json | 1840 | 800.542 | 1839 | 0 | 1 | 0 |

火车余票查询

pip install iquery Usage: iquery (-c|彩票) iquery (-m|电影) iquery -p <city> iquery -l song [singer] iquery -p <city> <hospital> iquery <city> <show> [<days>] iquery [-dgktz] <from> <to> <date> Arguments: from 出发站 to 到达站 date 查询日期 city 查询城市 show 演出的类型 days 查询近(几)天内的演出, 若省略, 默认15 city 城市名,加在-p后查询该城市所有莆田医院 hospital 医院名,加在city后检查该医院是否是莆田系 Options: -h, --help 显示该帮助菜单. -dgktz 动车,高铁,快速,特快,直达 -m 热映电影查询 -p 莆田系医院查询 -l 歌词查询 -c 彩票查询 Show: 演唱会 音乐会 音乐剧 歌舞剧 儿童剧 话剧 歌剧 比赛 舞蹈 戏曲 相声 杂技 马戏 魔术

电脑之间传文件

pip install magic-wormhole Sender: % wormhole send README.md Sending 7924 byte file named 'README.md' On the other computer, please run: wormhole receive Wormhole code is: 7-crossover-clockwork Sending (<-10.0.1.43:58988).. 100%|=========================| 7.92K/7.92K [00:00<00:00, 6.02MB/s] File sent.. waiting for confirmation Confirmation received. Transfer complete. Receiver: % wormhole receive Enter receive wormhole code: 7-crossover-clockwork Receiving file (7924 bytes) into: README.md ok? (y/n): y Receiving (->tcp:10.0.1.43:58986).. 100%|===========================| 7.92K/7.92K [00:00<00:00, 120KB/s] Received file written to README.md

Python 数据可视化

pip install pyecharts from pyecharts import Bar bar = Bar("我的第一个图表", "这里是副标题") bar.add("服装", ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"], [5, 20, 36, 10, 75, 90]) bar.show_config() bar.render()#在根目录下生成一个 render.html 的文件,用浏览器打开 #pyecharts制作词云图 from pyecharts import WordCloud wordlist = ['Sam', 'Club','Macys', 'Amy Schumer', 'Jurassic World', 'Charter','Communications','Chick Fil A', 'Planet Fitness', 'Pitch Perfect', 'Express', 'Home', 'Johnny Depp','Lena Dunham', 'Lewis', 'Hamilton','KXAN', 'Mary Ellen Mark', 'Farrah','Abraham','Rita Ora', 'Serena Williams', 'NCAA', ' baseball',' tournament','Point Break'] #对应于wordlist中每个元素的词频 freq = [10000, 6181, 6000, 4386, 4055, 2467, 2244, 1898, 1484, 1112,1112,1112, 965, 847, 847, 555, 555,555,550, 462, 366, 360, 282, 273, 265] #设置图标尺寸大小 wordcloud = WordCloud(width=1000, height=620) wordcloud.add(name="", attr=wordlist, shape='circle', value=freq, word_size_range=[20, 100]) #notebook上渲染出词云图 wordcloud #将词云图渲染并保存到html文件中 #wordcloud.render(path='词云图.html') freq = [7000, 6181, 6000, 4386, 4055, 2467, 2244, 1898, 1484, 1112,1112,1112, 965, 847, 847, 555, 555,555,550, 462, 366, 360,299, 10000, 7000] wordcloud = WordCloud(width=1000, height=620) wordcloud.add(name="", attr=wordlist, shape='star', value=freq, word_size_range=[20, 100]) wordcloud

微信公众号爬虫接口

pip install wechatsogou from wechatsogou import * wechats = WechatSogouApi() name = '南京航空航天大学' wechat_infos = wechats.search_gzh_info(name)

优雅的重试

pip install tenacity #限制重试次数为3次 from tenacity import retry, stop_after_attempt @retry(stop=stop_after_attempt(3)) def extract(url): info_json = requests.get(url).content.decode() info_dict = json.loads(info_json) data = info_dict['data'] save(data)

查找IP地址归属地

pip install qqwry-py3 from qqwry import QQwry q = QQwry() q.load_file('qqwry.dat', loadindex=False) result = q.lookup('8.8.8.8')

导出 python 库列表

#pip freeze 导出当前环境中所有的 python 库列表 $ pip install pipreqs $ pipreqs /home/project/location Successfully saved requirements file in /home/project/location/requirements.txt

Google Chrome Dev Protocol

pip install -U pychrome google-chrome --remote-debugging-port=9222 # create a browser instance browser = pychrome.Browser(url="http://127.0.0.1:9222") # list all tabs (default has a blank tab) tabs = browser.list_tab() if not tabs: tab = browser.new_tab() else: tab = tabs[0] # register callback if you want def request_will_be_sent(**kwargs): print("loading: %s" % kwargs.get('request').get('url')) tab.Network.requestWillBeSent = request_will_be_sent # call method tab.Network.enable() # call method with timeout tab.Page.navigate(url="https://github.com/fate0/pychrome", _timeout=5) # 6. wait for loading tab.wait(5) # 7. stop tab (stop handle events and stop recv message from chrome) tab.stop() # 8. close tab browser.close_tab(tab)

模糊搜索

pip install fuzzywuzzy >>> from fuzzywuzzy import fuzz >>> from fuzzywuzzy import process >>> fuzz.ratio("this is a test", "this is a test!") 97 >>> choices = ["Atlanta Falcons", "New York Jets", "New York Giants", "Dallas Cowboys"] >>> process.extract("new york jets", choices, limit=2) [('New York Jets', 100), ('New York Giants', 78)] >>> process.extractOne("cowboys", choices) ("Dallas Cowboys", 90)

算法学习

from pygorithm.sorting import bubble_sort myList = [12, 4, 3, 5, 13, 1, 17, 19, 15] sortedList = bubble_sort.sort(myList) print(sortedList) [1, 3, 4, 5, 12, 13, 15, 17, 19]

命令行洪流搜索程序

pip install torrench --upgrade $ torrench "ubuntu desktop 16.04" ## Search Linuxtracker for Ubuntu Desktop 16.04 distro ISO $ torrench "fedora workstation" ## Search for Fedora Workstation distro ISO $ torrench -d "opensuse" ## Search distrowatch for opensuse ISO $ torrench -d "solus" ## Search distrowatch for solus ISO

根据姓名来判断性别

pip install ngender $ ng 赵本山 宋丹丹 name: 赵本山 => gender: male, probability: 0.9836229687547046 name: 宋丹丹 => gender: female, probability: 0.9759486128949907 >>> import ngender >>> ngender.guess('赵本山') ('male', 0.9836229687547046)

Python编写的简单的微信客户端

#https://github.com/pavlovai/match pip install pywxclient pip install git+https://github.com/justdoit0823/pywxclient >>> from pywxclient.core import Session, SyncClient >>> s1 = Session() >>> c1 = SyncClient(s1) >>> c1.get_authorize_url() # Open the url in web browser >>> c1.authorize() # Continue authorize when returning False >>> c1.login() >>> c1.sync_check() >>> msgs = c1.sync_message() # Here are your wechat messages >>> c1.flush_sync_key()

比较相似图片

$ pip install numpy $ pip install scipy $ pip install image_match from image_match.goldberg import ImageSignature gis = ImageSignature() a = gis.generate_signature('https://upload.wikimedia.org/wikipedia/commons/thumb/e/ec/Mona_Lisa,_by_Leonardo_da_Vinci,_from_C2RMF_retouched.jpg/687px-Mona_Lisa,_by_Leonardo_da_Vinci,_from_C2RMF_retouched.jpg') b = gis.generate_signature('https://pixabay.com/static/uploads/photo/2012/11/28/08/56/mona-lisa-67506_960_720.jpg') gis.normalized_distance(a, b)

身份证识别OCR

生成各类虚拟数据

pip install mimesis >>> import mimesis >>> person = mimesis.Personal(locale='en') >>> person.full_name(gender='female') 'Antonetta Garrison' >>> person.occupation() 'Backend Developer'

视频处理库

from moviepy.editor import * video = VideoFileClip("myHolidays.mp4").subclip(50,60) # Make the text. Many more options are available. txt_clip = ( TextClip("My Holidays 2013",fontsize=70,color='white') .set_position('center') .set_duration(10) ) result = CompositeVideoClip([video, txt_clip]) # Overlay text on video result.write_videofile("myHolidays_edited.webm",fps=25) # Many options...

微信聊天记录导出、分析工具

pip install wechat-explorer wexp list_chatrooms ../Documents user_id wexp list_friends ../Documents user_id wexp get_chatroom_stats ../Documents user_id chatroom_id@chatroom 2015-08-01 2015-09-01 wexp export_chatroom_records ../Documents user_id chatroom_id@chatroom 2015-10-01 2015-10-07 ../ wexp get_friend_label_stats ../Documents user_id wkhtmltopdf --dpi 300 records.html records.pdf

图片爬虫库

pip install icrawler from icrawler.builtin import BaiduImageCrawler, BingImageCrawler, GoogleImageCrawler google_crawler = GoogleImageCrawler(parser_threads=2, downloader_threads=4, storage={'root_dir': 'your_image_dir'}) google_crawler.crawl(keyword='sunny', offset=0, max_num=1000, date_min=None, date_max=None, min_size=(200,200), max_size=None) bing_crawler = BingImageCrawler(downloader_threads=4, storage={'root_dir': 'your_image_dir'}) bing_crawler.crawl(keyword='sunny', offset=0, max_num=1000, min_size=None, max_size=None) baidu_crawler = BaiduImageCrawler(storage={'root_dir': 'your_image_dir'}) baidu_crawler.crawl(keyword='sunny', offset=0, max_num=1000, min_size=None, max_size=None) from icrawler.builtin import GreedyImageCrawler storage= {'root_dir': '/'} greedy_crawler = GreedyImageCrawler(storage=storage) greedy_crawler.crawl(domains='http://qq.com', max_num=6)

Python 剪贴板

pip install pyperclip from pyperclip import copy, paste copy('2333') # 向剪贴板写入 2333 paste() # 值为剪贴板中的内容

获取图片的相似度

import face_recognition image = face_recognition.load_image_file("your_file.jpg") face_locations = face_recognition.face_locations(image)

浏览器自动化splinter

#chromedriver.storage.googleapis.com/index.html >>> from splinter.browser import Browser >>> xx = Browser(driver_name="chrome") >>> xx.visit("http://www.zhihu.com/")

为SQLite数据库生成JSON

pip3 install datasette datasette serve path/to/database.db http://localhost:8001/History/downloads.json

numpy 接口直接工作在 CUDA

>>> import cupy as cp >>> x = cp.arange(6).reshape(2, 3).astype('f') >>> x array([[ 0., 1., 2.], [ 3., 4., 5.]], dtype=float32) >>> x.sum(axis=1) array([ 3., 12.], dtype=float32)

了解一个命令或程序在执行前会做什么

pip install maybe maybe rm -r ostechnix/ maybe has prevented rm -r ostechnix/ from performing 5 file system operations: delete /home/sk/inboxer-0.4.0-x86_64.AppImage delete /home/sk/Docker.pdf delete /home/sk/Idhayathai Oru Nodi.mp3 delete /home/sk/dThmLbB334_1398236878432.jpg delete /home/sk/ostechnix Do you want to rerun rm -r ostechnix/ and permit these operations? [y/N] y

获取ip

pip install ng $ ng ip local_ip:192.168.1.114 public_ip:49.4.160.250 $ ng wp $ ng wp flyfish_5g flyfish_5g:hitflyfish123456

图床服务

$ pip install qu $ qu up /somewhere/1.png $ qu up /somewhere/1.png 2.png

get .gitignore

#https://www.gitignore.io/ $ pip install gy $ gy generate python java lisp

PyGithub

pip install PyGithub from github import Github g = Github("xxxxx", "passwd") my_forks = [] for repo in g.get_user().get_repos(): if repo.fork: my_forks.append(repo)

爬虫小工具

pip install lazyspider from lazyspider.lazyheaders import LazyHeaders # 注意！字符串要包裹在 三引号 或 双引号 里 curl = "curl 'https://pypi.python.org/pypi' -H 'cookie: .....balabala...." lh = LazyHeaders(curl) headers = lh.getHeaders() cookies = lh.getCookies() print('*' * 40) print('Headers: {}'.format(headers)) print('*' * 40) print('Cookies: {}'.format(cookies)) print('*' * 40) import requests r = requests.get('https://pypi.python.org/pypi', headers=headers, cookies=cookies) print(r.status_code)

中文近义词工具包

pip install -U synonyms >>> synonyms.display("飞机") '飞机'近义词： 1. 架飞机:0.837399 2. 客机:0.764609 3. 直升机:0.762116 4. 民航机:0.750519 5. 航机:0.750116 6. 起飞:0.735736 7. 战机:0.734975 8. 飞行中:0.732649 9. 航空器:0.723945 10. 运输机:0.720578