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
Do not save your drugs for later or share them with another person.
Ensure you complete your dosage as prescribed by a certified healthcare worker.
Play your part to prevent #AntimicrobialResistance.
Dear Healthcare Workers,
Remember that many infections present with similar signs and symptoms. Always maintain a high index of suspicion.
To prevent #AntimicrobialResistance, conduct a test before you treat a patient.
Dear Healthcare Workers,
Remember that many infections present with similar signs and symptoms. Always maintain a high index of suspicion.
To prevent #AntimicrobialResistance, conduct a test before you treat a patient.
#AntimicrobialResistance is a global health issue leading to the ineffectiveness of drugs against the illness they were developed to treat.
Health care practitioners should always conduct a test before prescribing treatment for a patient
Do not save your drugs for later or share them with another person.
Ensure you complete your dosage as prescribed by a healthcare worker.
Play your part to prevent #AntimicrobialResistance.
Do not save your drugs for later or share them with another individual
Complete your dosage as prescribed by a healthcare worker.
Play your part to prevent #AntimicrobialResistance.
#Antimicrobials are not always needed when you are feeling unwell.
Antibiotics should only be prescribed by healthcare professionals after an appropriate diagnostic test.
Be an #AntimicrobialResistance guardian.
#Antimicrobials are not always needed when you are feeling unwell.
Antibiotics should only be prescribed by healthcare professionals after an appropriate diagnostic test.
Be an #AntimicrobialResistance guardian
#Antimicrobials are not always needed when you are feeling unwell.
Antibiotics should only be prescribed by healthcare professionals after an appropriate diagnostic test.
Be an #AntimicrobialResistance guardian
#Antimicrobials are not always needed when you are feeling unwell.
Antibiotics should only be prescribed by healthcare professionals after an appropriate diagnostic test.
Be an #AntimicrobialResistance guardian
The misuse and overuse of #antibiotics💊 & other antimicrobials reduces their effectiveness in treating common infections in animals & humans.
Everyone has a role to play to help fight #AntimicrobialResistance, do your part!
Misuse or overuse of #antibiotics💊 & other antimicrobials can reduce their effectiveness in treating common infections in animals & humans.
Everyone has a role to play to help fight #AntimicrobialResistance, do your part!