Regular Expressions 101

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An explanation of your regex will be automatically generated as you type.
Detailed match information will be displayed here automatically.
  • All Tokens
  • Common Tokens
  • General Tokens
  • Anchors
  • Meta Sequences
  • Quantifiers
  • Group Constructs
  • Character Classes
  • Flags/Modifiers
  • Substitution
  • A single character of: a, b or c
    [abc]
  • A character except: a, b or c
    [^abc]
  • A character in the range: a-z
    [a-z]
  • A character not in the range: a-z
    [^a-z]
  • A character in the range: a-z or A-Z
    [a-zA-Z]
  • Any single character
    .
  • Alternate - match either a or b
    a|b
  • Any whitespace character
    \s
  • Any non-whitespace character
    \S
  • Any digit
    \d
  • Any non-digit
    \D
  • Any word character
    \w
  • Any non-word character
    \W
  • Non-capturing group
    (?:...)
  • Capturing group
    (...)
  • Zero or one of a
    a?
  • Zero or more of a
    a*
  • One or more of a
    a+
  • Exactly 3 of a
    a{3}
  • 3 or more of a
    a{3,}
  • Between 3 and 6 of a
    a{3,6}
  • Start of string
    ^
  • End of string
    $
  • A word boundary
    \b
  • Non-word boundary
    \B

Regular Expression
Processing...

Test String

Code Generator

Language

Generated Code

import re regex = re.compile(r"^(?P<Street>(?:[A-Za-z\d]+\h)+)\h{2,}(?P<LAT>-?\d*\.\d+)\h{2,}(?P<LON>-?\d*\.\d+)$", flags=re.MULTILINE) test_str = ("A Kriel Street -25.69664263 28.41030434\n" "Abraham Mogopodi Avenue -25.71338241 28.37033247\n" "Absalome Street -25.70997386 28.3568847\n" "Alan Paton Street -25.72122505 28.42021664\n" "Alfred Nzo Crescent -25.6882444 28.41519928\n" "Annah Mabusela Street -25.70656941 28.34339845\n" "Anton Lembede Street -25.71813448 28.41874969\n" "Aphane Nhlapo Street -25.7208474 28.38598257\n" "Apple Close -25.71151327 28.38914898\n" "Areyeng Street -25.72404151 28.38545561\n" "Aseletho Street -25.71910848 28.41628606\n" "Azikwelwa Street -25.70616386 28.40821879\n" "Azondo Street -25.69615534 28.41117811\n" "B Z Ndlazi Street -25.71074853 28.37073878\n" "Badanile Avenue -25.71883255 28.42320088\n" "Bahula Street -25.70728106 28.35488834\n" "Baloyi Close -25.72553726 28.38641741\n" "Bana Street -25.70942133 28.40631067\n" "Banana Close -25.71194649 28.39090203") matches = regex.finditer(test_str) for match_num, match in enumerate(matches, start=1): print(f"Match {match_num} was found at {match.start()}-{match.end()}: {match.group()}") for group_num, group in enumerate(match.groups(), start=1): print(f"Group {group_num} found at {match.start(group_num)}-{match.end(group_num)}: {group}")

Please keep in mind that these code samples are automatically generated and are not guaranteed to work. If you find any syntax errors, feel free to submit a bug report. For a full regex reference for Python, please visit: https://docs.python.org/3/library/re.html