那些有趣/用的 Python 庫

Python學習者發表於2019-05-19

圖片處理

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')

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')

youtube-dl下載國外視訊

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

pip install youtube-dl #直接安裝youtube-dl

pip install -U youtube-dl #安裝youtube-dl並更新

youtube-dl "http://www.youtube.com/watch?v=-wNyEUrxzFU"

檢視物件的全部屬性和方法

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.

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

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 玩轉網易雲音樂

pip install ncmbot
import ncmbot
#登入
bot = ncmbot.login(phone='xxx', password='yyy')
bot.content # bot.json()
#獲取使用者歌單
ncmbot.user_play_list(uid='36554272')

pip install ncmbot

import ncmbot

#登入

bot = ncmbot.login(phone='xxx', password='yyy')

bot.content # bot.json()

#獲取使用者歌單

ncmbot.user_play_list(uid='36554272')

下載視訊字幕

pip install getsub

1	pip install getsub

Python 財經資料介面包

pip install tushare
import tushare as ts
#一次性獲取最近一個日交易日所有股票的交易資料
ts.get_today_all()

程式碼，名稱，漲跌幅，現價，開盤價，最高價，最低價，最日收盤價，成交量，換手率
      code    name     changepercent  trade   open   high    low  settlement \  
0     002738  中礦資源         10.023  19.32  19.32  19.32  19.32       17.56   
1     300410  正業科技         10.022  25.03  25.03  25.03  25.03       22.75   
2     002736  國信證券         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  南威軟體         10.006  38.15  38.15  38.15  38.15       34.68   
6     002664  信質電機         10.004  30.68  29.00  30.68  28.30       27.89   
7     300367  東方網力         10.004  86.76  78.00  86.76  77.87       78.87   
8     601299  中國北車         10.000  11.44  11.44  11.44  11.29       10.40   
9     601880   大連港         10.000   5.72   5.34   5.72   5.22        5.20   
10    000856  冀東裝備         10.000   8.91   8.18   8.91   8.18        8.10

pip install tushare

import tushare as ts

#一次性獲取最近一個日交易日所有股票的交易資料

ts.get_today_all()

程式碼，名稱，漲跌幅，現價，開盤價，最高價，最低價，最日收盤價，成交量，換手率

code name changepercent trade open high low settlement \

0 002738 中礦資源 10.023 19.32 19.32 19.32 19.32 17.56

1 300410 正業科技 10.022 25.03 25.03 25.03 25.03 22.75

2 002736 國信證券 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 南威軟體 10.006 38.15 38.15 38.15 38.15 34.68

6 002664 信質電機 10.004 30.68 29.00 30.68 28.30 27.89

7 300367 東方網力 10.004 86.76 78.00 86.76 77.87 78.87

8 601299 中國北車 10.000 11.44 11.44 11.44 11.29 10.40

9 601880 大連港 10.000 5.72 5.34 5.72 5.22 5.20

10 000856 冀東裝備 10.000 8.91 8.18 8.91 8.18 8.10

開源漏洞靶場

# 安裝pip
curl -s https://bootstrap.pypa.io/get-pip.py | python3

# 安裝docker
apt-get update && apt-get install docker.io

# 啟動docker服務
service docker start

# 安裝compose
pip install docker-compose 
# 拉取專案
git clone git@github.com:phith0n/vulhub.git
cd vulhub

# 進入某一個漏洞/環境的目錄
cd nginx_php5_mysql

# 自動化編譯環境
docker-compose build

# 啟動整個環境
docker-compose up -d
#測試完成後，刪除整個環境
docker-compose down

# 安裝pip

curl -s https://bootstrap.pypa.io/get-pip.py | python3

# 安裝docker

apt-get update && apt-get install docker.io

# 啟動docker服務

service docker start

# 安裝compose

pip install docker-compose

# 拉取專案

git clone git@github.com:phith0n/vulhub.git

cd vulhub

# 進入某一個漏洞/環境的目錄

cd nginx_php5_mysql

# 自動化編譯環境

docker-compose build

# 啟動整個環境

docker-compose up -d

#測試完成後，刪除整個環境

docker-compose down

北京實時公交

pip install -r requirements.txt 安裝依賴
python manage.py build_cache 獲取離線資料，建立本地快取
#專案自帶了一個終端中的查詢工具作為例子，執行： python manage.py cli
>>> from beijing_bus import BeijingBus
>>> lines = BeijingBus.get_all_lines()
>>> lines
[<Line: 運通122(農業展覽館-華紡易城公交場站)>, <Line: 運通101(廣順南大街北口-藍龍家園)>, ...]
>>> lines = BeijingBus.search_lines('847')
>>> lines
[<Line: 847(馬甸橋西-雷莊村)>, <Line: 847(雷莊村-馬甸橋西)>]
>>> line = lines[0]
>>> print line.id, line.name
541 847(馬甸橋西-雷莊村)
>>> line.stations
[<Station 馬甸橋西>, <Station 馬甸橋東>, <Station 安華橋西>, ...]
>>> station = line.stations[0]
>>> print station.name, station.lat, station.lon
馬甸橋西 39.967721 116.372921
>>> line.get_realtime_data(1) # 引數為站點的序號，從1開始
[
    {
        'id': 公交車id,
        'lat': 公交車的位置,
        'lon': 公交車位置,
        'next_station_name': 下一站的名字,
        'next_station_num': 下一站的序號,
        'next_station_distance': 離下一站的距離,
        'next_station_arriving_time': 預計到達下一站的時間,
        'station_distance': 離本站的距離,
        'station_arriving_time': 預計到達本站的時間,
    },
    ...
]

pip install -r requirements.txt 安裝依賴

python manage.py build_cache 獲取離線資料，建立本地快取

#專案自帶了一個終端中的查詢工具作為例子，執行： python manage.py cli

>>> from beijing_bus import BeijingBus

>>> lines = BeijingBus.get_all_lines()

>>> lines

[<Line: 運通122(農業展覽館-華紡易城公交場站)>, <Line: 運通101(廣順南大街北口-藍龍家園)>, ...]

>>> lines = BeijingBus.search_lines('847')

>>> lines

[<Line: 847(馬甸橋西-雷莊村)>, <Line: 847(雷莊村-馬甸橋西)>]

>>> line = lines[0]

>>> print line.id, line.name

541 847(馬甸橋西-雷莊村)

>>> line.stations

[<Station 馬甸橋西>, <Station 馬甸橋東>, <Station 安華橋西>, ...]

>>> station = line.stations[0]

>>> print station.name, station.lat, station.lon

馬甸橋西 39.967721 116.372921

>>> line.get_realtime_data(1) # 引數為站點的序號，從1開始

[

{

'id': 公交車id,

'lat': 公交車的位置,

'lon': 公交車位置,

'next_station_name': 下一站的名字,

'next_station_num': 下一站的序號,

'next_station_distance': 離下一站的距離,

'next_station_arriving_time': 預計到達下一站的時間,

'station_distance': 離本站的距離,

'station_arriving_time': 預計到達本站的時間,

...

]

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]
香港行政長官樑振英在各方壓力下就其大宅的違章建築（僭建）問題到立法會接受質詢，並向香港民眾道歉。

樑振英在星期二（12月10日）的答問大會開始之際在其演說中道歉，但強調他在違章建築問題上沒有隱瞞的意圖和動機。

一些親北京陣營議員歡迎樑振英道歉，且認為應能獲得香港民眾接受，但這些議員也質問樑振英有

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]

香港行政長官樑振英在各方壓力下就其大宅的違章建築（僭建）問題到立法會接受質詢，並向香港民眾道歉。

樑振英在星期二（12月10日）的答問大會開始之際在其演說中道歉，但強調他在違章建築問題上沒有隱瞞的意圖和動機。

一些親北京陣營議員歡迎樑振英道歉，且認為應能獲得香港民眾接受，但這些議員也質問樑振英有

Python 藝術二維碼生成器

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

pip install MyQR

myqr https://github.com

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

偽裝瀏覽器身份

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'

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

1 2	pip install httpstat httpstat httpbin.org/get

python shell

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

pip install sh

from sh import ifconfig

print ifconfig("eth0")

處理中文文字內容

pip install -U textblob#英文文字的情感分析
pip install snownlp#中文文字的情感分析
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'這個東西真心很贊')

s.words         # [u'這個', u'東西', u'真心',
                #  u'很', u'贊']

s.tags          # [(u'這個', u'r'), (u'東西', u'n'),
                #  (u'真心', u'd'), (u'很', u'd'),
                #  (u'贊', 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'「繁體字」「繁體中文」的叫法
                # 在臺灣亦很常見。'

pip install -U textblob#英文文字的情感分析

pip install snownlp#中文文字的情感分析

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'這個東西真心很贊')

s.words # [u'這個', u'東西', u'真心',

# u'很', u'贊']

s.tags # [(u'這個', u'r'), (u'東西', u'n'),

# (u'真心', u'd'), (u'很', u'd'),

# (u'贊', 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'「繁體字」「繁體中文」的叫法

# 在臺灣亦很常見。'

抓取發放代理

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.

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 可選引數，待驗證的 proxies 列表檔案
--out-proxy 可選引數，輸出已驗證的 proxies 列表檔案，如果為空，則直接輸出到終端

--in-proxy 檔案格式和 --out-proxy 檔案格式一致

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': '我是小號',
     'headline': '程式設計師',
     '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}

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': '我是小號',

'headline': '程式設計師',

'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 密碼洩露查詢模組

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

pip install leakPasswd

import leakPasswd

leakPasswd.findBreach('taobao')

解析 nginx 訪問日誌並格式化輸出

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 |

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 |

火車餘票查詢

pip install iquery
 Usage:
        iquery (-c|彩票)
        iquery (-m|電影)
        iquery -p <city>
        iquery -l song [singer]
        iquery -p <city> <hospital>
        iquery <city> <show> [<days>]
        iquery [-dgktz] <from> <to> <date>

    Arguments:
        from             出發站
        to               到達站
        date             查詢日期

        city             查詢城市
        show             演出的型別
        days             查詢近(幾)天內的演出, 若省略, 預設15

        city             城市名,加在-p後查詢該城市所有莆田醫院
        hospital         醫院名,加在city後檢查該醫院是否是莆田系


    Options:
        -h, --help       顯示該幫助選單.
        -dgktz           動車,高鐵,快速,特快,直達
        -m               熱映電影查詢
        -p               莆田系醫院查詢
        -l               歌詞查詢
        -c               彩票查詢

    Show:
        演唱會 音樂會 音樂劇 歌舞劇 兒童劇 話劇
        歌劇 比賽 舞蹈 戲曲 相聲 雜技 馬戲 魔術

pip install iquery

Usage:

iquery (-c|彩票)

iquery (-m|電影)

iquery -p <city>

iquery -l song [singer]

iquery -p <city> <hospital>

iquery <city> <show> [<days>]

iquery [-dgktz] <from> <to> <date>

Arguments:

from 出發站

to 到達站

date 查詢日期

city 查詢城市

show 演出的型別

days 查詢近(幾)天內的演出, 若省略, 預設15

city 城市名,加在-p後查詢該城市所有莆田醫院

hospital 醫院名,加在city後檢查該醫院是否是莆田系

Options:

-h, --help 顯示該幫助選單.

-dgktz 動車,高鐵,快速,特快,直達

-m 熱映電影查詢

-p 莆田系醫院查詢

-l 歌詞查詢

-c 彩票查詢

Show:

演唱會音樂會音樂劇歌舞劇兒童劇話劇

歌劇比賽舞蹈戲曲相聲雜技馬戲魔術

那些有趣/有用的 Python 庫
2019-01-15
Python
那些有趣的codepen專案
2018-03-09
盤點Excel中的那些有趣的“bug”
2021-03-05
Excel
Python有趣的小案例
2018-06-12
Python
那些有趣的演算法之布隆過濾器
2019-02-26
演算法過濾器
有趣的Python：Python控制鍵盤滑鼠
2019-07-19
Python
伺服器能做那些有趣是！你知道嗎？????
2018-06-11
伺服器
Python 計算生態中那些著名的庫-機器學習
2019-08-08
Python機器學習
GitHub上有趣的python資料
2016-01-30
GithubPython
用python的小海龜 Turtle 畫一朵好看又有趣的小花
2019-04-12
Python
你用 Python 做過什麼有趣的資料探勘專案？
2016-05-05
Python
15 個有趣的 JavaScript 與 CSS 庫
2016-12-01
JavaScriptCSS
真是人不如狗盤點那些有趣的寵物智慧穿戴產品
2017-03-07
非常有趣的Python的用法彙總
2019-07-15
Python
用 canvas 的 getImageData 做點有趣的事
2018-09-18
Canvas
Python 計算生態中那些著名的庫-文字處理
2019-08-08
Python
Python裡的那些坑
2021-09-09
Python
Python裡的17個“騷操作”好玩有趣
2019-08-13
Python
有趣且鮮為人知的 Python “特性”
2018-12-05
Python
聊一聊那些腦洞大開、有趣又奇葩的排序演算法
2019-05-10
排序演算法
備庫跳歸檔恢復的有趣案例
2016-06-03
Python 庫這非常的實用
2020-12-04
Python
python編碼的那些事
2017-11-08
Python
Python 的那些隱藏特性
2015-02-11
Python
Python 五個有趣的彩蛋，你都知道嗎？
2019-02-16
Python
Python 計算生態中那些著名的庫-資料視覺化
2019-08-08
Python視覺化
15個有趣的前端庫（October 2016）
2016-12-03
前端
15 個有趣的前端庫（September 2016）
2016-12-06
前端
微信搖一搖的一個有趣應用
2014-10-13
Mac Safari上有趣實用的擴充套件
2016-06-17
Mac套件
用SQL解決兩道有趣的題（二）
2008-01-03
SQL
用SQL解決兩道有趣的題（一）
2008-01-02
SQL
分享5款有趣又實用的軟體
2024-03-06
【那些年跳的坑】python 3 關於requests庫的 text / content /json
2017-05-18
PythonJSON
python之協程的那些事
2021-09-09
Python
最新的15 個有趣的前端庫（December 2016）
2016-12-13
前端
有趣的css
2018-04-17
CSS
用網上的API做一些有趣的事
2021-06-18
API

那些有趣/用的 Python 庫

圖片處理

檢視物件的全部屬性和方法

相關文章