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This article will explain in detail how to use regular expressions to match numbers and strings in Python. The content of the article is of high quality, so the editor shares it for you as a reference. I hope you will have some understanding of the relevant knowledge after reading this article.

Python regular expressions match numbers

Phone number:\ d {3} -\ d {8} |\ d {4} -\ d {7}

QQ number: [1-9] [0-9] {4,}

Postcode of China: [1-9]\ d {5} (?!\ d)

ID:\ d {15} |\ d {18}

Ip address:\ d+\.\ d+\.\ d+

[1-9]\ d * positive integers

-[1-9]\ d * negative integer

-? [1-9]\ d * Integer

[1-9]\ d* | 0 is a non-negative integer

-[1-9]\ d* | 0 is a non-positive integer

[1-9]\ d *.\ d * | 0.\ d * [1-9]\ dfloat $positive floating point number

-([1-9]\ d *.\ d * | 0.\ d * [1-9]\ d *) $negative floating point number

-? ([1-9]\ d *.\ d * | 0.\ d * [1-9]\ d * | 0?\ .0 + | 0) $floating point

Match the price and output the average price

Import reprice='25.34-34.55'test=re.compile (r'[1-9]\ d *\.\ d * | 0\.\ d * [1-9] | [1-9]\ d *') .findall (price) [0] test2=re.compile (rang-[1-9]\ d *\.\ d * |-0\.\ d * [1-9] |-[1-9]\ d *') .findall (price) [0] i=float (test) x=-float (test2) r = (xchimi) / 2print r

Knowledge point expansion: python regular expression to find pure numbers in a string

1. Simple practice

> import re > re.findall (r'\ dudes, 'hello 42 Iyma 32 string 30') ['42','32','30']

However, this makes it possible to recognize impure numbers in a string.

> re.findall ("hello 42 Iyma 32 str12312ing 30") ['42','32', '12312','30']

2. Identify pure numbers

If you only need numbers separated by word boundaries (spaces, periods, commas), you can use\ b

> re.findall (r'\ b\ d +\ baked, "hello 42 Isima 32 str12312ing 30") ['42,'32,'30] > re.findall (r'\ b\ d +\ str12312ing 30 "," hello,42 Isima 32 str12312ing 30 ") ['42,'32] > re.findall (r'\ b\ d +\ baked," hello,42 Isima 32 str12312ing 30 ") ['42,'32') What are the main application areas of python? 1. Cloud computing Typical application OpenStack. 2. WEB front-end development, many large websites are developed by Python. 3. Artificial intelligence applications, which are based on big data's analysis and deep learning, have essentially been unable to leave python. 4. System operation and maintenance project, the standard configuration of automatic operation and maintenance is python+Django/flask. 5. Financial management analysis, quantitative transaction, financial analysis. 6. Big data's analysis.

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