Product code looks like abcd2343, what to split by letters and numbers

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不知归路 2020-12-02 18:34

I have a list of product codes in a text file, on each like is the product code that looks like:

abcd2343 abw34324 abc3243-23A

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  •  臣服心动
    2020-12-02 18:58

    In [32]: import re
    
    In [33]: s='abcd2343 abw34324 abc3243-23A'
    
    In [34]: re.split('(\d+)',s)
    Out[34]: ['abcd', '2343', ' abw', '34324', ' abc', '3243', '-', '23', 'A']
    

    Or, if you want to split on the first occurrence of a digit:

    In [43]: re.findall('\d*\D+',s)
    Out[43]: ['abcd', '2343 abw', '34324 abc', '3243-', '23A']
    

    • \d+ matches 1-or-more digits.
    • \d*\D+ matches 0-or-more digits followed by 1-or-more non-digits.
    • \d+|\D+ matches 1-or-more digits or 1-or-more non-digits.

    Consult the docs for more about Python's regex syntax.


    re.split(pat, s) will split the string s using pat as the delimiter. If pat begins and ends with parentheses (so as to be a "capturing group"), then re.split will return the substrings matched by pat as well. For instance, compare:

    In [113]: re.split('\d+', s)
    Out[113]: ['abcd', ' abw', ' abc', '-', 'A']   # <-- just the non-matching parts
    
    In [114]: re.split('(\d+)', s)
    Out[114]: ['abcd', '2343', ' abw', '34324', ' abc', '3243', '-', '23', 'A']  # <-- both the non-matching parts and the captured groups
    

    In contrast, re.findall(pat, s) returns only the parts of s that match pat:

    In [115]: re.findall('\d+', s)
    Out[115]: ['2343', '34324', '3243', '23']
    

    Thus, if s ends with a digit, you could avoid ending with an empty string by using re.findall('\d+|\D+', s) instead of re.split('(\d+)', s):

    In [118]: s='abcd2343 abw34324 abc3243-23A 123'
    
    In [119]: re.split('(\d+)', s)
    Out[119]: ['abcd', '2343', ' abw', '34324', ' abc', '3243', '-', '23', 'A ', '123', '']
    
    In [120]: re.findall('\d+|\D+', s)
    Out[120]: ['abcd', '2343', ' abw', '34324', ' abc', '3243', '-', '23', 'A ', '123']
    

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