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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T21:26:41+00:00 2026-05-13T21:26:41+00:00

How can I build a regular expression in python which can match all the

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How can I build a regular expression in python which can match all the following?
where it is a “string (a-zA-Z)” follow by a space follow by 1 or multiple 4 integers which separates by a comma:

Example:
someotherstring 42 1 48 17,
somestring 363 1 46 17,363 1 34 17,401 3 8 14,
otherstring 42 1 48 17,363 1 34 17,

I have tried the following, since I need to know each integers:

myRE=re.compile("(\s+) ((\d+) (\d+) (\d+) (\d+),)+"

But how can I find out how many 4 integers I have? and how can I process each of them?

Thank you.

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  1. Editorial Team
    Editorial Team
    2026-05-13T21:26:41+00:00Added an answer on May 13, 2026 at 9:26 pm
    >>> test = "somestring 363 1 46 17,363 1 34 17,401 3 8 14,"
    

    Here is a pyparsing processor for your input string:

    >>> from pyparsing import *
    >>> integer = Word(nums)
    >>> patt = Word(alphas) + OneOrMore(Group(integer*4 + Suppress(',')))
    

    Using patt.parseString returns a pyparsing ParseResults object, which has some nice list/dict/object properties. First, just printing out the results as a list:

    >>> patt.parseString(test).asList()
    ['somestring', ['363', '1', '46', '17'], ['363', '1', '34', '17'], ['401', '3', '8', '14']]
    

    See how each of your groups is grouped as a sublist?

    Now let’s have the parser do a bit more work for us. At parse time, we already know we are parsing valid integers – anything matching Word(nums) has to be an integer. So we can add a parse action to do this conversion at parse time:

    >>> integer = Word(nums).setParseAction(lambda tokens:int(tokens[0]))
    

    Now, we recreate our pattern, and parsing now gives us groups of numbers:

    >>> patt = Word(alphas) + OneOrMore(Group(integer*4 + Suppress(',')))
    >>> patt.parseString(test).asList()
    ['somestring', [363, 1, 46, 17], [363, 1, 34, 17], [401, 3, 8, 14]]
    

    Lastly, we can also assign names to the bits parsed out of this input:

    >>> patt = Word(alphas)("desc") + OneOrMore(Group(integer*4 + Suppress(',')))("numgroups")
    

    The list of returned items is the same:

    >>> patt.parseString(test).asList()
    ['somestring', [363, 1, 46, 17], [363, 1, 34, 17], [401, 3, 8, 14]]
    

    But if we dump() the results, we see what we can access by name:

    >>> print patt.parseString(test).dump()
    ['somestring', [363, 1, 46, 17], [363, 1, 34, 17], [401, 3, 8, 14]]
    - desc: somestring
    - numgroups: [[363, 1, 46, 17], [363, 1, 34, 17], [401, 3, 8, 14]]
    

    We can use those names for dict-like or attribute-like access. I’m partial to the attribute style myself:

    >>> res = patt.parseString(test)
    >>> print res.desc
    somestring
    >>> print res.numgroups
    [[363, 1, 46, 17], [363, 1, 34, 17], [401, 3, 8, 14]]
    >>> for ng in res.numgroups: print sum(ng)
    ...
    427
    415
    426
    

    Here is the entire parser and output processor:

    test = "somestring 363 1 46 17,363 1 34 17,401 3 8 14,"
    from pyparsing import *
    integer = Word(nums).setParseAction(lambda tokens:int(tokens[0]))
    patt = Word(alphas)("desc") + \
        OneOrMore(Group(integer*4 + Suppress(',')))("numgroups")
    
    print patt.parseString(test).asList()
    print patt.parseString(test).dump()
    res = patt.parseString(test)
    print res.desc
    print res.numgroups
    for ng in res.numgroups: 
        print sum(ng)
    
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