Regex: Attributeerror: 'Nonetype' Object Has No Attribute 'Groups'

Regex: Attributeerror: 'Nonetype' Object Has No Attribute 'Groups'

I have a string which I want to extract a subset of. This is part of a larger Python script.

This is the string:

import re

htmlString = '</dd><dt> Fine, thank you.&#160;</dt><dd> Molt bé, gràcies. (<i>mohl behh, GRAH-syuhs</i>)'

Which I want to pull-out "Molt bé, gràcies. mohl behh, GRAH-syuhs". And for that I use regular expression using re.search:

SearchStr = '(\<\/dd\>\<dt\>)+ ([\w+\,\.\s]+)([\&\#\d\;]+)(\<\/dt\>\<dd\>)+ ([\w\,\s\w\s\w\?\!\.]+) (\(\<i\>)([\w\s\,\-]+)(\<\/i\>\))'

Result = re.search(SearchStr, htmlString)

print Result.groups()
AttributeError: 'NoneType' object has no attribute 'groups'

Since Result.groups() doesn't work, neither do the extractions I want to make (i.e. Result.group(5) and Result.group(7)). But I don't understand why I get this error? The regular expression works in TextWrangler, why not in Python? Im a beginner in Python.

1

2 Answers

You are getting AttributeError because you're calling groups on None, which hasn't any methods.

regex.search returning None means the regex couldn't find anything matching the pattern from supplied string.

when using regex, it is nice to check whether a match has been made:

Result = re.search(SearchStr, htmlString)

if Result:
    print Result.groups()
4
import re

htmlString = '</dd><dt> Fine, thank you.&#160;</dt><dd> Molt bé, gràcies. (<i>mohl behh, GRAH-syuhs</i>)'

SearchStr = '(\<\/dd\>\<dt\>)+ ([\w+\,\.\s]+)([\&\#\d\;]+)(\<\/dt\>\<dd\>)+ ([\w\,\s\w\s\w\?\!\.]+) (\(\<i\>)([\w\s\,\-]+)(\<\/i\>\))'

Result = re.search(SearchStr.decode('utf-8'), htmlString.decode('utf-8'), re.I | re.U)

print Result.groups()

Works that way. The expression contains non-latin characters, so it usually fails. You've got to decode into Unicode and use re.U (Unicode) flag.

I'm a beginner too and I faced that issue a couple of times myself.

David Miller
Author

David Miller

David Miller brings 15 years of experience in global economics, personal finance strategy, and market dynamics. He specializes in turning complex economic trends into actionable insights for everyday readers.