那些有趣 Python 库

转载出处 苏生不惑

图片处理

pip install pillowfrom PIL import Imageimport numpy as npa = np.array(Image.open('test.jpg'))b = [255,255,255] - aim = 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-dlpip 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 asciinemaasciinema recasciinema 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_codes, structures, utils, warningsspecial attribute:    __doc__class:    NullHandler: This handler does nothing. It's intended to be used to avoid the    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 remoteserver.    ConnectionError: A Connection error occurred.    DependencyWarning: Warned when an attempt is made to import a module with missing 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 handling 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-dlpip install ncmbotimport 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 tushareimport 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pipcurl -s https://bootstrap.pypa.io/get-pip.py | python3# 安装dockerapt-get update && apt-get install docker.io# 启动docker服务service docker start# 安装composepip install docker-compose # 拉取项目git clone [e-mail]:phith0n/vulhub.gitcd 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.name541 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.gitcd python-goosepip install -r requirements.txtpython 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  MyQRmyqr https://github.commyqr https://github.com -v 10 -l Q

伪装浏览器身份

pip install fake-useragentfrom fake_useragent import UserAgentua = 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/11.11ua.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 httpstathttpstat httpbin.org/get

python shell

pip install shfrom sh import ifconfigprint 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 SnowNLPtext = "I am happy today. I feel sad today."from textblob import TextBlobblob = TextBlob(text)TextBlob("I am happy today. I feel sad today.")blob.sentimentSentiment(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 --helpUsage: 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 --upgradefrom zhihu import Zhihuzhihu = 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 leakPasswdimport leakPasswdleakPasswd.findBreach('taobao')

解析 nginx 访问日志并格式化输出

pip install ngxtop$ ngxtoprunning for 411 seconds, 64332 records processed: 156.60 req/secSummary:|   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-wormholeSender:% wormhole send README.mdSending 7924 byte file named 'README.md'On the other computer, please run: wormhole receiveWormhole 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 confirmationConfirmation received. Transfer complete.Receiver:% wormhole receiveEnter receive wormhole code: 7-crossover-clockworkReceiving file (7924 bytes) into: README.mdok? (y/n): yReceiving (->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 pyechartsfrom pyecharts import Barbar = 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

微信公众号爬虫接口

pip install wechatsogoufrom 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/locationSuccessfully saved requirements file in /home/project/location/requirements.txt

Google Chrome Dev Protocol

pip install -U pychromegoogle-chrome --remote-debugging-port=9222# create a browser instancebrowser = 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 wantdef request_will_be_sent(**kwargs):    print("loading: %s" % kwargs.get('request').get('url'))tab.Network.requestWillBeSent = request_will_be_sent# call methodtab.Network.enable()# call method with timeouttab.Page.navigate(url="https://github.com/fate0/pychrome", _timeout=5)# 6. wait for loadingtab.wait(5)# 7. stop tab (stop handle events and stop recv message from chrome)tab.stop()# 8. close tabbrowser.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_sortmyList = [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: 0.9836229687547046name: 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/matchpip install pywxclientpip 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_matchfrom image_match.goldberg import ImageSignaturegis = 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 videoresult.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_idwexp list_friends ../Documents user_idwexp get_chatroom_stats ../Documents user_id chatroom_id@chatroom 2015-08-01 2015-09-01wexp export_chatroom_records ../Documents user_id chatroom_id@chatroom 2015-10-01 2015-10-07 ../wexp get_friend_label_stats ../Documents user_idwkhtmltopdf --dpi 300 records.html records.pdf