Небольшой трик с регулярными выражениями который редко вижу в чужом коде.
Допустим, вам нужно распарсить простой текст и вытащить оттуда пары имя+телефон. Вернуть всё это надо в виде списка словарей. Возьмем очень простой пример текста.
>>> text = '''
>>> Alex:8999123456
>>> Mike:+799987654
>>> Oleg:+344456789
>>> '''
Соответственно, для выделения нужных элементов будем использовать группы. Получится такой паттерн:
(\w+):([\d+]+)
Как мы будем формировать словарь из найденных групп?
>>> import re
>>> results = []
>>> for match in re.finditer(r"(\w+):([\d+]+)", text):
>>> results.append({
>>> "name": match.group(1),
>>> "phone": match.group(2)
>>> })
>>> print(results)
[{'name': 'Alex', 'phone': '8999123456'}, ...]
Можно немного сократить запись используя zip
>>> results = []
>>> for match in re.finditer(r"(\w+):([\d+]+)", text):
>>> results.append(dict(zip(['name', 'phone'], match.groups())))
Но есть способ лучше! Это именованные группы в regex. Можно в паттерне указать имя группы и результат сразу забрать в виде словаря.
>>> for match in re.finditer(r"(?P<name>\w+):(?P<phone>[\d+]+)", text):
>>> results.append(match.groupdict())
То есть всё что я сделал, это добавил в начале группы (внутри сбокочек) такую запись:
(?P<group-name>...)
Теперь найденная группа имеет имя и можно обратиться к ней как к элементу списка
>>> name = match['name']
Либо забрать сразу весь словарь методом groupdict()
>>> match.groupdict()
#tricks#regex
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🔧 Users in Russia report ongoing issues with YouTube, marking another decrease in platform traffic, as confirmed by Google.
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YouTube Issues and Economic Growth
Users in Russia again report issues with YouTube, causing a traffic drop noted by Google. The Roskomnadzor is seeking data from providers on user attempts to access blocked sites, despite existing data collection measures not aiding user identification. The Ministry of Economic Development aims to raise processing limits to improve labor market flexibility amid staff shortages. The cybersecurity market is projected to grow by up to 30% in 2024, although some estimates suggest only 10-15% growth due to high interest rates and tax burdens. Yandex plans to negotiate with Haier, TCL, and Huawei to install its OS on all TVs sold in Russia. AI search engine Perplexity secures $500 million funding, raising its valuation to $9 billion, up from $1 billion in April. In the U.S., the investigation into TP-Link for potential national security threats begins, as it commands 65% of the U.S. home router market.
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