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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"NAME: (\w*[-\w. ]*\w*[ ]*) POS: ([A-Z]{2}) AGE: (\d\d) WT: (\d{3}) BORN: (.*) SALARY: (\d+|N\/A)") test_str = ("NAME: Sean Burnett POS: RP AGE: 30 WT: 200 BORN: Dunedin, FL SALARY: 2350000\n" "NAME: Tyler Clippard POS: RP AGE: 27 WT: 200 BORN: Lexington, KY SALARY: 1650000\n" "NAME: Ross Detwiler-Smith POS: SP AGE: 26 WT: 174 BORN: St. Louis, MO SALARY: 485000\n" "NAME: Christian Garcia POS: RP AGE: 27 WT: 215 BORN: Miami, FL SALARY: N/A\n" "NAME: Gio Gonzalez POS: SP AGE: 27 WT: 205 BORN: Hialeah, FL SALARY: 3335000\n" "NAME: Mike Gonzalez POS: RP AGE: 34 WT: 215 BORN: Robstown, TX SALARY: N/A\n" "NAME: Ryan P. Mattheus POS: RP AGE: 28 WT: 215 BORN: Sacramento, CA SALARY: 481000\n" "NAME: Craig Stammen POS: RP AGE: 28 WT: 200 BORN: Coldwater, OH SALARY: 485000\n" "NAME: Drew Storen POS: RP AGE: 25 WT: 180 BORN: Indianapolis, IN SALARY: 498750\n" "NAME: Jordan Q. Zimmermann POS: SP AGE: 26 WT: 218 BORN: Auburndale, WI SALARY: 2300000 ") 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