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"
"
gmi

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[a-z][^\d:\n]+$\s[a-z][^\d]+((-[\d,]+|[\d,]+)\s(\s+)?(-[\d,]+|[\d,]+).*)" test_str = ("RM RM\n" "CASH FLOWS FROM/(FOR) OPERATING ACTIVITIES\n" "Profit before tax 96,261,457 75,615,413 23,786,496 17,519,528\n" "Adjustments for:\n" "Depreciation of property, plant and\n" "equipment 15,777,521 17,300,505 17,205 17,331\n" "Depreciation of right-of-use assets 2,040,669 0 94,956 0\n" "Interest expense 755,525 568,006 9,480 56,109\n" "Unrealised (gain)/loss on foreign exchange (81,588) (616,303) 20,673 190,487\n" "Allowance for impairment losses on amount\n" "owing by subsidiaries 0 0 0 1,242,999\n" "Allowance for impairment losses on\n" "receivables 0 932,838 0 0\n" "Bad debt written off 0 153,130 0 0\n" "Gain on disposal of an associate 0 (672,207) 0 0\n" "Property, plant and equipment written off 35 10,678 0 0\n" "Share of results in an associate 0 (78,115) 0 0\n" "Interest income (1,150,023) (917,220) (455,564) (549,987)\n" "Gain on disposal of property, plant\n" "and equipment (14,417) (164,099) 0 0\n" "Writeback of allowance for impairment losses\n" "on amount owing by subsidiaries 0 0 (271,455) 0\n" "Writeback of allowance for impairment losses\n" "on trade receivables (2,200) (10,000) 0 0\n" "Dividend income from subsidiaries 0 0 (28,541 ,623) (23,527,968)\n" "Operating Profit/(Loss) Before\n" "Working Capital Changes 113,586,979 92,122,626 (5,339,832) (5,051,501)\n" "Increase)/Decrease in:\n" "Inventories (1,274,623) (379,713) 0 0\n" "Trade receivables 20,924,616 (16,590,199) 0 0\n" "Other receivables and prepaid expenses (564,806) (1,492,450) (3,691) (27,867)\n" "Amount owing by an associate 0 1,330,780 0 0\n" "Decrease)/Increase in:\n" "Trade payables (1,313,328) (826,277) 0 0\n" "Other payables and accrued expenses 3,319,226 3,376,361 503,145 1,190,933\n" "Cash Generated From/(For) Operations 134,678,064 77,541,128 (4,840,378) (3,888,435)\n" "Taxes paid (19,777,287) (14,218,858) 0 0\n" "Net Cash From/(For) Operating Activities 114,900,777 63,322,270 (4,840,378) (3,888,435)\n" "The accompanying NOTEs form an integral part of these Financial Statements.\n" "Frontken STEAL BERGHE Sais 57\n" "Statements Of Cash Flows\n" "For The Financial Year Ended 31 December 2019 (cont’d)\n" "The Group The Company\n" "2019 2018 2019 2018\n" "RM RM\n" "CASH FLOWS (FOR)/FROM INVESTING ACTIVITIES\n" "Repayment from subsidiaries 0 0 271,455 1,514,464\n" "Purchase of property, plant and equipment (7,016,576) (7,492,297) 0 (3,689)\n" "Addition of right-of-use assets (15,434) 0 0 0\n" "Dividend received from subsidiaries 0 0 28,038,195 21,039,335\n" "Additional investment/acquisition of\n" "subsidiaries (2,636,981) (7,133,082) (2,636,981) (7,133,082)\n" "Proceeds from disposal of an associate 0 2,496,557 0 0\n" "Pro (ceeds)/from disposal of property, plant\n" "and equipment 14,901 1,077,256 0 0\n" "Net (placement)/withdrawal of fixed\n" "deposits with licensed banks (3,608,920) 2,992,578 0 1,104,683\n" "Interest received 1,150,023 917,220 455,564 549,987\n" "Net Cash (For)/From Investing Activities (12,112,987) (7,141,768) 26,128,233 17,071,698\n" "CASH FLOWS FOR FINANCING ACTIVITIES\n" "Decrease)/Increase in amount owing\n" "to subsidiaries 0 0 (4,851,365) 591,745\n" "Repayment of term loans (10,677,444) (16,712,117) 0 (2,037,933)\n" "Interest paid (755,525) (568,006) (9,480) (56,109)\n" "Dividend paid by the Company (18,863,433) (7,335,779) (18,863,433) (7,335,779)\n" "Dividend paid by 0 subsidiary to non-\n" "controlling interests (1,048,152) (2,626,027) 0 0\n" "Payment of hire purchase payables 0 (544,511) 0 0\n" "Payment of lease liabilities (2,366,158) 0 (92,640) 0\n" "Net Cash For Financing Activities (33,710,712) (27,786,440) (23,816,918) (8,838,076)\n" "NET INCREASE/(DECREASE) IN CASH AND\n" "CASH EQUIVALENTS 69,077,078 28,394,062 (2,529,063) 4,345,187\n" "Effect of exchange rate changes 1,651,600 293,086 (59,241) 8,004\n" "CASH AND CASH EQUIVALENTS\n" "AT BEGINNING OF YEAR 148,940,067 120,252,919 14,110,208 9,757,017\n" "CASH AND CASH EQUIVALENTS\n" "AT END OF YEAR 219,668,745 148,940,067 11,521,904 14,110,208") matches = re.finditer(regex, test_str, re.MULTILINE | re.IGNORECASE) 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