你不一定知道的并没有什么卵用的一些python库

Posted 2020-12-26 traditional

1. delorean，用来处理时间的库

import datetime
import pytz

# 一般情况下，我们想表示时间的话
est = pytz.timezone("Asia/Shanghai")
t = datetime.datetime.now(est)
print(t)  # 2018-07-30 23:06:21.563803+08:00


# 使用delorean
from delorean import Delorean
d = Delorean()
t = d.shift("Asia/Shanghai")
print(t)  # Delorean(datetime=datetime.datetime(2018, 7, 30, 23, 6, 21, 607802), timezone=‘Asia/Shanghai‘)
print(t.next_day(1))  # Delorean(datetime=datetime.datetime(2018, 7, 31, 23, 7, 40, 48419), timezone=‘Asia/Shanghai‘)
print(t.next_day(-1))  # Delorean(datetime=datetime.datetime(2018, 7, 29, 23, 8, 1, 593950), timezone=‘Asia/Shanghai‘)

# 下一个星期天
print(t.next_sunday())  # Delorean(datetime=datetime.datetime(2018, 8, 5, 23, 8, 56, 391465), timezone=‘Asia/Shanghai‘)
# 下一个星期五
print(t.next_friday())  # Delorean(datetime=datetime.datetime(2018, 8, 3, 23, 8, 56, 391465), timezone=‘Asia/Shanghai‘)


from delorean import stops
import delorean
for stop in stops(freq=delorean.HOURLY, count=10):
    print(stop)
‘‘‘
Delorean(datetime=datetime.datetime(2018, 7, 30, 15, 11, 17), timezone=‘UTC‘)
Delorean(datetime=datetime.datetime(2018, 7, 30, 16, 11, 17), timezone=‘UTC‘)
Delorean(datetime=datetime.datetime(2018, 7, 30, 17, 11, 17), timezone=‘UTC‘)
Delorean(datetime=datetime.datetime(2018, 7, 30, 18, 11, 17), timezone=‘UTC‘)
Delorean(datetime=datetime.datetime(2018, 7, 30, 19, 11, 17), timezone=‘UTC‘)
Delorean(datetime=datetime.datetime(2018, 7, 30, 20, 11, 17), timezone=‘UTC‘)
Delorean(datetime=datetime.datetime(2018, 7, 30, 21, 11, 17), timezone=‘UTC‘)
Delorean(datetime=datetime.datetime(2018, 7, 30, 22, 11, 17), timezone=‘UTC‘)
Delorean(datetime=datetime.datetime(2018, 7, 30, 23, 11, 17), timezone=‘UTC‘)
Delorean(datetime=datetime.datetime(2018, 7, 31, 0, 11, 17), timezone=‘UTC‘)
‘‘‘

　　

2.prettybody

from prettytable import PrettyTable

p = PrettyTable()

p.field_names = ["name", "age", "gender", "husband"]

p.add_row(["satori", 18, "f", "zgg"])
p.add_row(["mashiro", 18, "f", "zgg"])
p.add_row(["miku", 18, "f", "zgg"])
p.add_row(["matsuri", 18, "f", "zgg"])
print(p)
‘‘‘
+---------+-----+--------+---------+
|   name  | age | gender | husband |
+---------+-----+--------+---------+
|  satori |  18 |   f    |   zgg   |
| mashiro |  18 |   f    |   zgg   |
|   miku  |  18 |   f    |   zgg   |
| matsuri |  18 |   f    |   zgg   |
+---------+-----+--------+---------+

‘‘‘

# 添加一列
p.add_column("anime", ["东方地灵殿", "樱花庄的宠物女孩", "初音未来", "sola"])
print(p)
‘‘‘
+---------+-----+--------+---------+------------------+
|   name  | age | gender | husband |      anime       |
+---------+-----+--------+---------+------------------+
|  satori |  18 |   f    |   zgg   |    东方地灵殿    |
| mashiro |  18 |   f    |   zgg   | 樱花庄的宠物女孩 |
|   miku  |  18 |   f    |   zgg   |     初音未来     |
| matsuri |  18 |   f    |   zgg   |       sola       |
+---------+-----+--------+---------+------------------+
‘‘‘

# 获取表格
print(p.get_html_string())
‘‘‘
<table>
    <tr>
        <th>name</th>
        <th>age</th>
        <th>gender</th>
        <th>husband</th>
        <th>anime</th>
    </tr>
    <tr>
        <td>satori</td>
        <td>18</td>
        <td>f</td>
        <td>zgg</td>
        <td>东方地灵殿</td>
    </tr>
    <tr>
        <td>mashiro</td>
        <td>18</td>
        <td>f</td>
        <td>zgg</td>
        <td>樱花庄的宠物女孩</td>
    </tr>
    <tr>
        <td>miku</td>
        <td>18</td>
        <td>f</td>
        <td>zgg</td>
        <td>初音未来</td>
    </tr>
    <tr>
        <td>matsuri</td>
        <td>18</td>
        <td>f</td>
        <td>zgg</td>
        <td>sola</td>
    </tr>
</table>
‘‘‘

print(p.get_string())
‘‘‘
+---------+-----+--------+---------+------------------+
|   name  | age | gender | husband |      anime       |
+---------+-----+--------+---------+------------------+
|  satori |  18 |   f    |   zgg   |    东方地灵殿    |
| mashiro |  18 |   f    |   zgg   | 樱花庄的宠物女孩 |
|   miku  |  18 |   f    |   zgg   |     初音未来     |
| matsuri |  18 |   f    |   zgg   |       sola       |
+---------+-----+--------+---------+------------------+
‘‘‘

# 获取指定的列，指定的行
print(p.get_string(fields=["name", "anime"], start=0, end=4))
‘‘‘
+---------+------------------+
|   name  |      anime       |
+---------+------------------+
|  satori |    东方地灵殿    |
| mashiro | 樱花庄的宠物女孩 |
|   miku  |     初音未来     |
| matsuri |       sola       |
+---------+------------------+
‘‘‘

　　

3.snowballstemmer

# 用来提取单词词干,支持15种语言
from snowballstemmer import EnglishStemmer

print(EnglishStemmer().stemWord("love"))
print(EnglishStemmer().stemWord("production"))
print(EnglishStemmer().stemWord("affection"))
print(EnglishStemmer().stemWord("gravity"))
‘‘‘
love
product
affect
graviti
‘‘‘

　　

4.wget，比较有用的库，可以用来下载图片

import wget

url = "https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1532975831713&di=6add9fa41ac1a7ddbddcaa919d49c497&imgtype=0&src=http%3A%2F%2Fimage.uczzd.cn%2F6715434799472055716.jpeg%3Fid%3D0"
# 参数一：url，下载的地址，参数二：out，输出的文件名或路径
wget.download(url=url, out=r"C:UsersAdministratorDesktopaaamatsuri.jpg")

　　

 

当然输入一个普通的url，会将整个页面的html文本下载下来

 

5.fuzzywuzzy,用来做字符串的相似度

from fuzzywuzzy import fuzz
from fuzzywuzzy import process

print(fuzz.ratio("my name is satori", "my name is mashiro"))  # 74,表示相似度是百分之74

print(fuzz.ratio("i love satori", "I love satori"))  # 92,可见是区分大小写的
print(fuzz.ratio("i love satori", "I love satori!"))  # 89
print(fuzz.partial_ratio("i love satori", "i love satori!!!!!"))  # 100
# 两者对位置都敏感，但是ratio是属于全匹配。partial_ratio是搜索匹配，知道一方结束，后面的即使有也不会造成影响
print(fuzz.ratio("我永远喜欢古明地盆", "我永远喜欢古明地盆,多睡觉少操心"))  # 72
print(fuzz.partial_ratio("我永远喜欢古明地盆", "我永远喜欢古明地盆,多睡觉少操心"))  # 100