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重磅干货,第一时间到达
从一段指定的字符串中,取得期望的数据,正常人都会想到正则表达式吧?
写过正则表达式的人都知道,正则表达式入门不难,写起来也容易。
但是正则表达式几乎没有可读性可言,维护起来,真的会让人抓狂,别以为这段正则是你写的就可以驾驭它,过个一个月你可能就不认识它了。
完全可以说,天下苦正则久矣。
今天给你介绍一个好东西,可以让你摆脱正则的噩梦,那就是 Python 中一个非常冷门的库 -- parse
。
1. 真实案例
拿一个最近使用 parse 的真实案例来举例说明。
下面是 ovs 一个条流表,现在我需要收集提取一个虚拟机(网口)里有多少流量、多少包流经了这条流表。也就是每个 in_port 对应的 n_bytes、n_packets 的值 。
如果是你,你会怎么做呢?
先以逗号分隔开来,再以等号分隔取出值来?
你不防可以尝试一下,写出来的代码应该和我想象的一样,没有一丝美感而言。
我来给你展示一下,我是怎么做的?
可以看到,我使用了一个叫做 parse 的第三方包,是需要自行安装的
从上面这个案例中,你应该能感受到 parse 对于解析规范的字符串,是非常强大的。
2. parse 的结果
parse 的结果只有两种结果:
-
没有匹配上,parse 的值为None
-
如果匹配上,parse 的值则 为 Result 实例
如果你编写的解析规则,没有为字段定义字段名,也就是匿名字段, Result 将是一个 类似 list 的实例,演示如下:
而如果你编写的解析规则,为字段定义了字段名, Result 将是一个 类似 字典 的实例,演示如下:
3. 重复利用 pattern
和使用 re 一样,parse 同样支持 pattern 复用。
4. 类型转化
从上面的例子中,你应该能注意到,parse 在获取年龄的时候,变成了一个"27"
,这是一个字符串,有没有一种办法,可以在提取的时候就按照我们的类型进行转换呢?
你可以这样写。
除了将其转为 整型,还有其他格式吗?
内置的格式还有很多,比如
匹配时间
更多类型请参考官方文档:
Type | Characters Matched | Output |
---|---|---|
l | Letters (ASCII) | str |
w | Letters, numbers and underscore | str |
W | Not letters, numbers and underscore | str |
s | Whitespace | str |
S | Non-whitespace | str |
d | Digits (effectively integer numbers) | int |
D | Non-digit | str |
n | Numbers with thousands separators (, or .) | int |
% | Percentage (converted to value/100.0) | float |
f | Fixed-point numbers | float |
F | Decimal numbers | Decimal |
e | Floating-point numbers with exponent e.g. 1.1e-10, NAN (all case insensitive) | float |
g | General number format (either d, f or e) | float |
b | Binary numbers | int |
o | Octal numbers | int |
x | Hexadecimal numbers (lower and upper case) | int |
ti | ISO 8601 format date/time e.g. 1972-01-20T10:21:36Z (“T” and “Z” optional) | datetime |
te | RFC2822 e-mail format date/time e.g. Mon, 20 Jan 1972 10:21:36 +1000 | datetime |
tg | Global (day/month) format date/time e.g. 20/1/1972 10:21:36 AM +1:00 | datetime |
ta | US (month/day) format date/time e.g. 1/20/1972 10:21:36 PM +10:30 | datetime |
tc | ctime() format date/time e.g. Sun Sep 16 01:03:52 1973 | datetime |
th | HTTP log format date/time e.g. 21/Nov/2011:00:07:11 +0000 | datetime |
ts | Linux system log format date/time e.g. Nov 9 03:37:44 | datetime |
tt | Time e.g. 10:21:36 PM -5:30 | time |
5. 提取时去除空格
去除两边空格
去除左边空格
去除右边空格
6. 大小写敏感开关
Parse 默认是大小写不敏感的,你写 hello 和 HELLO 是一样的。
如果你需要区分大小写,那可以加个参数,演示如下:
7. 匹配字符数
精确匹配:指定最大字符数
模糊匹配:指定最小字符数
若要在精准/模糊匹配的模式下,再进行格式转换,可以这样写
8. 三个重要属性
Parse 里有三个非常重要的属性
-
fixed:利用位置提取的匿名字段的元组 -
named:存放有命名的字段的字典 -
spans:存放匹配到字段的位置
下面这段代码,带你了解他们之间有什么不同
9. 自定义类型的转换
匹配到的字符串,会做为参数传入对应的函数
比如我们之前讲过的,将字符串转整型
其等价于
利用它,我们可以定制很多的功能,比如我想把匹配的字符串弄成全大写
10 总结一下
parse 库在字符串解析处理场景中提供的便利,肉眼可见,上手简单。
在一些简单的场景中,使用 parse 可比使用 re 去写正则开发效率不知道高几个 level,用它写出来的代码富有美感,可读性高,后期维护起代码来一点压力也没有,推荐你使用。
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data-darkmode-bgimage-15870356070738="1" data-darkmode-bgcolor-15870356071023="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356071023="rgb(255, 255, 255)" data-darkmode-color-15870356071023="rgb(230, 230, 230)" data-darkmode-original-color-15870356071023="rgb(0, 0, 0)" data-darkmode-bgimage-15870356071023="1" data-darkmode-bgcolor-15882384789136="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882384789136="rgb(255, 255, 255)" data-darkmode-color-15882384789136="rgb(230, 230, 230)" data-darkmode-original-color-15882384789136="rgb(0, 0, 0)" data-darkmode-bgimage-15882384789136="1" data-darkmode-bgcolor-15882396318564="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882396318564="rgb(255, 255, 255)" data-darkmode-color-15882396318564="rgb(230, 230, 230)" data-darkmode-original-color-15882396318564="rgb(0, 0, 0)" data-darkmode-bgimage-15882396318564="1" data-darkmode-bgcolor-15900529136199="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15900529136199="rgb(255, 255, 255)" data-darkmode-color-15900529136199="rgb(230, 230, 230)" data-darkmode-original-color-15900529136199="rgb(0, 0, 0)" data-darkmode-bgimage-15900529136199="1" style="margin-left: 2px;width: 20px;"></section><section data-brushtype="text" data-darkmode-bgcolor-15860613985508="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15860613985508="rgb(255, 255, 255)" data-darkmode-color-15860613985508="rgb(51, 51, 51)" data-darkmode-original-color-15860613985508="rgb(51, 51, 51)" data-darkmode-bgimage-15860613985508="1" data-darkmode-bgcolor-15870356070738="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356070738="rgb(255, 255, 255)" data-darkmode-color-15870356070738="rgb(51, 51, 51)" data-darkmode-original-color-15870356070738="rgb(51, 51, 51)" data-darkmode-bgimage-15870356070738="1" data-darkmode-bgcolor-15870356071023="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356071023="rgb(255, 255, 255)" data-darkmode-color-15870356071023="rgb(51, 51, 51)" data-darkmode-original-color-15870356071023="rgb(51, 51, 51)" data-darkmode-bgimage-15870356071023="1" data-darkmode-bgcolor-15882384789136="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882384789136="rgb(255, 255, 255)" data-darkmode-color-15882384789136="rgb(51, 51, 51)" data-darkmode-original-color-15882384789136="rgb(51, 51, 51)" data-darkmode-bgimage-15882384789136="1" data-darkmode-bgcolor-15882396318564="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882396318564="rgb(255, 255, 255)" data-darkmode-color-15882396318564="rgb(51, 51, 51)" data-darkmode-original-color-15882396318564="rgb(51, 51, 51)" data-darkmode-bgimage-15882396318564="1" data-darkmode-bgcolor-15900529136199="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15900529136199="rgb(255, 255, 255)" data-darkmode-color-15900529136199="rgb(51, 51, 51)" data-darkmode-original-color-15900529136199="rgb(51, 51, 51)" data-darkmode-bgimage-15900529136199="1" style="font-size: 14px;color: rgb(51, 51, 51);text-align: left;"><span style="font-family: 楷体, 楷体_GB2312, SimKai;font-size: 15px;">点这里,获取一波福利</span><span style="font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, "Helvetica Neue", "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;font-size: 17px;text-align: justify;"></span></section></section></section></section></section></section></section>
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