Table of Contents for
Regular Expressions Cookbook, 2nd Edition

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Regular Expressions Cookbook, 2nd Edition by Steven Levithan Published by O'Reilly Media, Inc., 2012
  1. Cover
  2. Regular Expressions Cookbook
  3. Preface
  4. Caught in the Snarls of Different Versions
  5. Intended Audience
  6. Technology Covered
  7. Organization of This Book
  8. Conventions Used in This Book
  9. Using Code Examples
  10. Safari® Books Online
  11. How to Contact Us
  12. Acknowledgments
  13. 1. Introduction to Regular Expressions
  14. Regular Expressions Defined
  15. Search and Replace with Regular Expressions
  16. Tools for Working with Regular Expressions
  17. 2. Basic Regular Expression Skills
  18. 2.1. Match Literal Text
  19. 2.2. Match Nonprintable Characters
  20. 2.3. Match One of Many Characters
  21. 2.4. Match Any Character
  22. 2.5. Match Something at the Start and/or the End of a Line
  23. 2.6. Match Whole Words
  24. 2.7. Unicode Code Points, Categories, Blocks, and Scripts
  25. 2.8. Match One of Several Alternatives
  26. 2.9. Group and Capture Parts of the Match
  27. 2.10. Match Previously Matched Text Again
  28. 2.11. Capture and Name Parts of the Match
  29. 2.12. Repeat Part of the Regex a Certain Number of Times
  30. 2.13. Choose Minimal or Maximal Repetition
  31. 2.14. Eliminate Needless Backtracking
  32. 2.15. Prevent Runaway Repetition
  33. 2.16. Test for a Match Without Adding It to the Overall Match
  34. 2.17. Match One of Two Alternatives Based on a Condition
  35. 2.18. Add Comments to a Regular Expression
  36. 2.19. Insert Literal Text into the Replacement Text
  37. 2.20. Insert the Regex Match into the Replacement Text
  38. 2.21. Insert Part of the Regex Match into the Replacement Text
  39. 2.22. Insert Match Context into the Replacement Text
  40. 3. Programming with Regular Expressions
  41. Programming Languages and Regex Flavors
  42. 3.1. Literal Regular Expressions in Source Code
  43. 3.2. Import the Regular Expression Library
  44. 3.3. Create Regular Expression Objects
  45. 3.4. Set Regular Expression Options
  46. 3.5. Test If a Match Can Be Found Within a Subject String
  47. 3.6. Test Whether a Regex Matches the Subject String Entirely
  48. 3.7. Retrieve the Matched Text
  49. 3.8. Determine the Position and Length of the Match
  50. 3.9. Retrieve Part of the Matched Text
  51. 3.10. Retrieve a List of All Matches
  52. 3.11. Iterate over All Matches
  53. 3.12. Validate Matches in Procedural Code
  54. 3.13. Find a Match Within Another Match
  55. 3.14. Replace All Matches
  56. 3.15. Replace Matches Reusing Parts of the Match
  57. 3.16. Replace Matches with Replacements Generated in Code
  58. 3.17. Replace All Matches Within the Matches of Another Regex
  59. 3.18. Replace All Matches Between the Matches of Another Regex
  60. 3.19. Split a String
  61. 3.20. Split a String, Keeping the Regex Matches
  62. 3.21. Search Line by Line
  63. Construct a Parser
  64. 4. Validation and Formatting
  65. 4.1. Validate Email Addresses
  66. 4.2. Validate and Format North American Phone Numbers
  67. 4.3. Validate International Phone Numbers
  68. 4.4. Validate Traditional Date Formats
  69. 4.5. Validate Traditional Date Formats, Excluding Invalid Dates
  70. 4.6. Validate Traditional Time Formats
  71. 4.7. Validate ISO 8601 Dates and Times
  72. 4.8. Limit Input to Alphanumeric Characters
  73. 4.9. Limit the Length of Text
  74. 4.10. Limit the Number of Lines in Text
  75. 4.11. Validate Affirmative Responses
  76. 4.12. Validate Social Security Numbers
  77. 4.13. Validate ISBNs
  78. 4.14. Validate ZIP Codes
  79. 4.15. Validate Canadian Postal Codes
  80. 4.16. Validate U.K. Postcodes
  81. 4.17. Find Addresses with Post Office Boxes
  82. 4.18. Reformat Names From “FirstName LastName” to “LastName, FirstName”
  83. 4.19. Validate Password Complexity
  84. 4.20. Validate Credit Card Numbers
  85. 4.21. European VAT Numbers
  86. 5. Words, Lines, and Special Characters
  87. 5.1. Find a Specific Word
  88. 5.2. Find Any of Multiple Words
  89. 5.3. Find Similar Words
  90. 5.4. Find All Except a Specific Word
  91. 5.5. Find Any Word Not Followed by a Specific Word
  92. 5.6. Find Any Word Not Preceded by a Specific Word
  93. 5.7. Find Words Near Each Other
  94. 5.8. Find Repeated Words
  95. 5.9. Remove Duplicate Lines
  96. 5.10. Match Complete Lines That Contain a Word
  97. 5.11. Match Complete Lines That Do Not Contain a Word
  98. 5.12. Trim Leading and Trailing Whitespace
  99. 5.13. Replace Repeated Whitespace with a Single Space
  100. 5.14. Escape Regular Expression Metacharacters
  101. 6. Numbers
  102. 6.1. Integer Numbers
  103. 6.2. Hexadecimal Numbers
  104. 6.3. Binary Numbers
  105. 6.4. Octal Numbers
  106. 6.5. Decimal Numbers
  107. 6.6. Strip Leading Zeros
  108. 6.7. Numbers Within a Certain Range
  109. 6.8. Hexadecimal Numbers Within a Certain Range
  110. 6.9. Integer Numbers with Separators
  111. 6.10. Floating-Point Numbers
  112. 6.11. Numbers with Thousand Separators
  113. 6.12. Add Thousand Separators to Numbers
  114. 6.13. Roman Numerals
  115. 7. Source Code and Log Files
  116. Keywords
  117. Identifiers
  118. Numeric Constants
  119. Operators
  120. Single-Line Comments
  121. Multiline Comments
  122. All Comments
  123. Strings
  124. Strings with Escapes
  125. Regex Literals
  126. Here Documents
  127. Common Log Format
  128. Combined Log Format
  129. Broken Links Reported in Web Logs
  130. 8. URLs, Paths, and Internet Addresses
  131. 8.1. Validating URLs
  132. 8.2. Finding URLs Within Full Text
  133. 8.3. Finding Quoted URLs in Full Text
  134. 8.4. Finding URLs with Parentheses in Full Text
  135. 8.5. Turn URLs into Links
  136. 8.6. Validating URNs
  137. 8.7. Validating Generic URLs
  138. 8.8. Extracting the Scheme from a URL
  139. 8.9. Extracting the User from a URL
  140. 8.10. Extracting the Host from a URL
  141. 8.11. Extracting the Port from a URL
  142. 8.12. Extracting the Path from a URL
  143. 8.13. Extracting the Query from a URL
  144. 8.14. Extracting the Fragment from a URL
  145. 8.15. Validating Domain Names
  146. 8.16. Matching IPv4 Addresses
  147. 8.17. Matching IPv6 Addresses
  148. 8.18. Validate Windows Paths
  149. 8.19. Split Windows Paths into Their Parts
  150. 8.20. Extract the Drive Letter from a Windows Path
  151. 8.21. Extract the Server and Share from a UNC Path
  152. 8.22. Extract the Folder from a Windows Path
  153. 8.23. Extract the Filename from a Windows Path
  154. 8.24. Extract the File Extension from a Windows Path
  155. 8.25. Strip Invalid Characters from Filenames
  156. 9. Markup and Data Formats
  157. Processing Markup and Data Formats with Regular Expressions
  158. 9.1. Find XML-Style Tags
  159. 9.2. Replace Tags with
  160. 9.3. Remove All XML-Style Tags Except and
  161. 9.4. Match XML Names
  162. 9.5. Convert Plain Text to HTML by Adding

    and
    Tags

  163. 9.6. Decode XML Entities
  164. 9.7. Find a Specific Attribute in XML-Style Tags
  165. 9.8. Add a cellspacing Attribute to Tags That Do Not Already Include It
  166. 9.9. Remove XML-Style Comments
  167. 9.10. Find Words Within XML-Style Comments
  168. 9.11. Change the Delimiter Used in CSV Files
  169. 9.12. Extract CSV Fields from a Specific Column
  170. 9.13. Match INI Section Headers
  171. 9.14. Match INI Section Blocks
  172. 9.15. Match INI Name-Value Pairs
  173. Index
  174. Index
  175. Index
  176. Index
  177. Index
  178. Index
  179. Index
  180. Index
  181. Index
  182. Index
  183. Index
  184. Index
  185. Index
  186. Index
  187. Index
  188. Index
  189. Index
  190. Index
  191. Index
  192. Index
  193. Index
  194. Index
  195. Index
  196. Index
  197. Index
  198. Index
  199. About the Authors
  200. Colophon
  201. Copyright
  202. 3.15. Replace Matches Reusing Parts of the Match

    Problem

    You want to run a search-and-replace that reinserts parts of the regex match back into the replacement. The parts you want to reinsert have been isolated in your regular expression using capturing groups, as described in Recipe 2.9.

    For example, you want to match pairs of words delimited by an equals sign, and swap those words in the replacement.

    Solution

    C#

    You can use the static call when you process only a small number of strings with the same regular expression:

    string resultString = Regex.Replace(subjectString, @"(\w+)=(\w+)",
                                                       "$2=$1");

    Construct a Regex object if you want to use the same regular expression with a large number of strings:

    Regex regexObj = new Regex(@"(\w+)=(\w+)");
    string resultString = regexObj.Replace(subjectString, "$2=$1");

    VB.NET

    You can use the static call when you process only a small number of strings with the same regular expression:

    Dim ResultString = Regex.Replace(SubjectString, "(\w+)=(\w+)", "$2=$1")

    Construct a Regex object if you want to use the same regular expression with a large number of strings:

    Dim RegexObj As New Regex("(\w+)=(\w+)")
    Dim ResultString = RegexObj.Replace(SubjectString, "$2=$1")

    Java

    You can call String.replaceAll() when you process only one string with the same regular expression:

    String resultString = subjectString.replaceAll("(\\w+)=(\\w+)", "$2=$1");

    Construct a Matcher object if you want to use the same regular expression with a large number of strings:

    Pattern regex = Pattern.compile("(\\w+)=(\\w+)");
    Matcher regexMatcher = regex.matcher(subjectString);
    String resultString = regexMatcher.replaceAll("$2=$1");

    JavaScript

    result = subject.replace(/(\w+)=(\w+)/g, "$2=$1");

    PHP

    $result = preg_replace('/(\w+)=(\w+)/', '$2=$1', $subject);

    Perl

    $subject =~ s/(\w+)=(\w+)/$2=$1/g;

    Python

    If you have only a few strings to process, you can use the global function:

    result = re.sub(r"(\w+)=(\w+)", r"\2=\1", subject)

    To use the same regex repeatedly, use a compiled object:

    reobj = re.compile(r"(\w+)=(\w+)")
    result = reobj.sub(r"\2=\1", subject)

    Ruby

    result = subject.gsub(/(\w+)=(\w+)/, '\2=\1')

    Discussion

    The regular expression (\w+)=(\w+) matches the pair of words and captures each word into its own capturing group. The word before the equals sign is captured by the first group, and the word after the sign by the second group.

    For the replacement, you need to specify that you want to use the text matched by the second capturing group, followed by an equals sign, followed by the text matched by the first capturing group. You can do this with special placeholders in the replacement text. The replacement text syntax varies widely between different programming languages. Search and Replace with Regular Expressions in Chapter 1 describes the replacement text flavors, and Recipe 2.21 explains how to reference capturing groups in the replacement text.

    .NET

    In .NET, you can use the same Regex.Replace() method described in the previous recipe, using a string as the replacement. The syntax for adding backreferences to the replacement text follows the .NET replacement text flavor Recipe 2.21.

    Java

    In Java, you can use the same replaceFirst() and replaceAll() methods described in the previous recipe. The syntax for adding backreferences to the replacement text follows the Java replacement text flavor described in this book.

    JavaScript

    In JavaScript, you can use the same string.replace() method described in the previous recipe. The syntax for adding backreferences to the replacement text follows the JavaScript replacement text flavor described in this book.

    PHP

    In PHP, you can use the same preg_replace() function described in the previous recipe. The syntax for adding backreferences to the replacement text follows the PHP replacement text flavor described in this book.

    Perl

    In Perl, the replace part in s/regex/replace/ is simply interpreted as a double-quoted string. You can use the special variables $&, $1, $2, etc., explained in Recipe 3.7 and Recipe 3.9 in the replacement string. The variables are set right after the regex match is found, before it is replaced. You can also use these variables in all other Perl code. Their values persist until you tell Perl to find another regex match.

    All the other programming languages in this book provide a function call that takes the replacement text as a string. The function call parses the string to process backreferences such as $1 or \1. But outside the replacement text string, $1 has no meaning with these languages.

    Python

    In Python, you can use the same sub() function described in the previous recipe. The syntax for adding backreferences to the replacement text follows the Python replacement text flavor described in this book.

    Ruby

    In Ruby, you can use the same String.gsub() method described in the previous recipe. The syntax for adding backreferences to the replacement text follows the Ruby replacement text flavor described in this book.

    You cannot interpolate variables such as $1 in the replacement text. That’s because Ruby does variable interpolation before the gsub() call is executed. Before the call, gsub() hasn’t found any matches yet, so backreferences can’t be substituted. If you try to interpolate $1, you’ll get the text matched by the first capturing group in the last regex match before the call to gsub().

    Instead, use replacement text tokens such as «\1». The gsub() function substitutes those tokens in the replacement text for each regex match. We recommend that you use single-quoted strings for the replacement text. In double-quoted strings, the backslash is used as an escape, and escaped digits are octal escapes. '\1' and "\\1" use the text matched by the first capturing group as the replacement, whereas "\1" substitutes the single literal character 0x01.

    Named Capture

    If you use named capturing groups in your regular expression, you can reference the groups by their names in your replacement string.

    C#

    You can use the static call when you process only a small number of strings with the same regular expression:

    string resultString = Regex.Replace(subjectString,
                          @"(?<left>\w+)=(?<right>\w+)", "${right}=${left}");

    Construct a Regex object if you want to use the same regular expression with a large number of strings:

    Regex regexObj = new Regex(@"(?<left>\w+)=(?<right>\w+)");
    string resultString = regexObj.Replace(subjectString, "${right}=${left}");

    VB.NET

    You can use the static call when you process only a small number of strings with the same regular expression:

    Dim ResultString = Regex.Replace(SubjectString,
                       "(?<left>\w+)=(?<right>\w+)", "${right}=${left}")

    Construct a Regex object if you want to use the same regular expression with a large number of strings:

    Dim RegexObj As New Regex("(?<left>\w+)=(?<right>\w+)")
    Dim ResultString = RegexObj.Replace(SubjectString, "${right}=${left}")

    Java 7

    Java 7 adds support for named capture to the regular expression syntax and for named backreferences to the replacement text syntax.

    You can call String.replaceAll() when you process only one string with the same regular expression:

    String resultString = subjectString.replaceAll(
                          "(?<left>\\w+)=(?<right>\\w+)", "${right}=${left}");

    Construct a Matcher object if you want to use the same regular expression with a large number of strings:

    Pattern regex = Pattern.compile("(?<left>\\w+)=(?<right>\\w+)");
    Matcher regexMatcher = regex.matcher(subjectString);
    String resultString = regexMatcher.replaceAll("${right}=${left}");

    XRegExp

    The XRegExp.replace() method extends JavaScript’s replacement text syntax with named backreferences.

    var re = XRegExp("(?<left>\\w+)=(?<right>\\w+)", "g");
    var result = XRegExp.replace(subject, re, "${right}=${left}");

    PHP

    $result = preg_replace('/(?P<left>\w+)=(?P<right>\w+)/',
                           '$2=$1', $subject);

    PHP’s preg functions use the PCRE library, which supports named capture. The preg_match() and preg_match_all() functions add named capturing groups to the array with match results. Unfortunately, preg_replace() does not provide a way to use named backreferences in the replacement text. If your regex has named capturing groups, count both the named and numbered capturing groups from left to right to determine the backreference number of each group. Use those numbers in the replacement text.

    Perl

    $subject =~ s/(?<left>\w+)=(?<right>\w+)/$+{right}=$+{left}/g;

    Perl supports named capturing groups starting with version 5.10. The %+ hash stores the text matched by all named capturing groups in the regular expression last used. You can use this hash in the replacement text string, as well as anywhere else.

    Python

    If you have only a few strings to process, you can use the global function:

    result = re.sub(r"(?P<left>\w+)=(?P<right>\w+)", r"\g<right>=\g<left>",
                    subject)

    To use the same regex repeatedly, use a compiled object:

    reobj = re.compile(r"(?P<left>\w+)=(?P<right>\w+)")
    result = reobj.sub(r"\g<right>=\g<left>", subject)

    Ruby

    result = subject.gsub(/(?<left>\w+)=(?<right>\w+)/, '\k<left>=\k<right>')

    See Also

    Search and Replace with Regular Expressions in Chapter 1 describes the replacement text flavors.

    Recipe 2.21 explains how to reference capturing groups in the replacement text.