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
No Match

r"
"
gm

Test String

Code Generator

Language

Generated Code

# coding=utf8 # the above tag defines encoding for this document and is for Python 2.x compatibility import re regex = r"^[^\W\d_]+\.?(?:[- ][^\W\d_]+\.?)*$" test_str = ("Valid street names are:\n" "Mainstreet.\n" "Mainstreet\n" "Main Street\n" "Big New mainstreet\n" "Mainstreet-New\n" "Mains Str.\n" "St. Alexander Street\n" "abcÜüßäÄöÖàâäèéêëîï ôœùûüÿçÀÂ-ÄÈÉÊËÎÏÔŒÙÛÜŸÇ.\n" "John Kennedy Street\n\n" "Not valid street names are:\n" "Mainstreet #+;:_*´`?=)(/&%$§!\n" "Mainstreet#+;:_*´`?=)(/&%$§!\n" "Mainstreet 2\n" "Mainstreet..\n" "Mainstreet§\n\n" "Valid cities are:\n" "Edinôœùûüÿ\n" "Berlin.\n" "St. Petersburg\n" "New-Berlin\n" "Aue-Bad Schlema\n" "Frankfurt am Main\n" "Nürnberg\n" "Ab\n" "New York CityßäÄöÖàâäèéêëîïôœùûüÿçÀÂ-ÄÈÉÊËÎÏÔŒÙÛÜŸ\n" "Not valid cities are:\n\n" "Edingburgh 123\n" "Edingburg123\n" "St. Andrews 12\n" "Berlin,#+;:_*´`?=)(/&%$§!\n" "Berlin__\n" "The solutions that I have at the moment matches very close but not perfectly:\n\n" "For city and street name:\n" "Unfortunately no match for these examples (the rest works fine):\n\n" "St. Alexander Street\n" "St. Petersburg\n") matches = re.finditer(regex, test_str, re.MULTILINE) for matchNum, match in enumerate(matches, start=1): print ("Match {matchNum} was found at {start}-{end}: {match}".format(matchNum = matchNum, start = match.start(), end = match.end(), match = match.group())) for groupNum in range(0, len(match.groups())): groupNum = groupNum + 1 print ("Group {groupNum} found at {start}-{end}: {group}".format(groupNum = groupNum, start = match.start(groupNum), end = match.end(groupNum), group = match.group(groupNum))) # Note: for Python 2.7 compatibility, use ur"" to prefix the regex and u"" to prefix the test string and substitution.

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