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. 3.9. Retrieve Part of the Matched Text

    Problem

    As in Recipe 3.7, you have a regular expression that matches a substring of the subject text, but this time you want to match just one part of that substring. To isolate the part you want, you added a capturing group to your regular expression, as described in Recipe 2.9.

    For example, the regular expression http://([a-z0-9.-]+) matches http://www.regexcookbook.com in the string Please visit http://www.regexcookbook.com for more information. The part of the regex inside the first capturing group matches www.regexcookbook.com, and you want to retrieve the domain name captured by the first capturing group into a string variable.

    We’re using this simple regex to illustrate the concept of capturing groups. See Chapter 8 for more accurate regular expressions for matching URLs.

    Solution

    C#

    For quick one-off matches, you can use the static call:

    string resultString = Regex.Match(subjectString,
                          "http://([a-z0-9.-]+)").Groups[1].Value;

    To use the same regex repeatedly, construct a Regex object:

    Regex regexObj = new Regex("http://([a-z0-9.-]+)");
    string resultString = regexObj.Match(subjectString).Groups[1].Value;

    VB.NET

    For quick one-off matches, you can use the static call:

    Dim ResultString = Regex.Match(SubjectString,
                       "http://([a-z0-9.-]+)").Groups(1).Value

    To use the same regex repeatedly, construct a Regex object:

    Dim RegexObj As New Regex("http://([a-z0-9.-]+)")
    Dim ResultString = RegexObj.Match(SubjectString).Groups(1).Value

    Java

    String resultString = null;
    Pattern regex = Pattern.compile("http://([a-z0-9.-]+)");
    Matcher regexMatcher = regex.matcher(subjectString);
    if (regexMatcher.find()) {
        resultString = regexMatcher.group(1);
    }

    JavaScript

    var result;
    var match = /http:\/\/([a-z0-9.-]+)/.exec(subject);
    if (match) {
        result = match[1];
    } else {
        result = "";
    }

    PHP

    if (preg_match('%http://([a-z0-9.-]+)%', $subject, $groups)) {
        $result = $groups[1];
    } else {
        $result = '';
    }

    Perl

    if ($subject =~ m!http://([a-z0-9.-]+)!) {
        $result = $1;
    } else {
        $result = '';
    }

    Python

    For quick one-off matches, you can use the global function:

    matchobj = re.search("http://([a-z0-9.-]+)", subject)
    if matchobj:
        result = matchobj.group(1)
    else:
        result = ""

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

    reobj = re.compile("http://([a-z0-9.-]+)")
    matchobj = reobj.search(subject)
    if match:
        result = matchobj.group(1)
    else:
        result = ""

    Ruby

    You can use the =~ operator and its magic numbered variables, such as $1:

    if subject =~ %r!http://([a-z0-9.-]+)!
        result = $1
    else
        result = ""
    end

    Alternatively, you can call the match method on a Regexp object:

    matchobj = %r!http://([a-z0-9.-]+)!.match(subject)
    if matchobj
        result = matchobj[1]
    else
        result = ""
    end

    Discussion

    Recipe 2.10 and Recipe 2.21 explain how you can use numbered backreferences in the regular expression and the replacement text to match the same text again, or to insert part of the regex match into the replacement text. You can use the same reference numbers to retrieve the text matched by one or more capturing groups in your code.

    In regular expressions, capturing groups are numbered starting at one. Programming languages typically start numbering arrays and lists at zero. All programming languages discussed in this book that store capturing groups in an array or list use the same numbering for capturing groups as the regular expression, starting at one. The zeroth element in the array or list is used to store the overall regular expression match. This means that if your regular expression has three capturing groups, the array storing their matches will have four elements. Element zero holds the overall match, and elements one, two, and three store the text matched by the three capturing groups.

    .NET

    To retrieve details about capturing groups, we again resort to the Regex.Match() member function, first explained in Recipe 3.7. The returned Match object has a property called Groups. This is a collection property of type GroupCollection. The collection holds the details for all the capturing groups in your regular expression. Groups[1] holds the details for the first capturing group, Groups[2] the second group, and so on.

    The Groups collection holds one Group object for each capturing group. The Group class has the same properties as the Match class, except for the Groups property. Match.Groups[1].Value returns the text matched by the first capturing group, in the same way that Match.Value returns the overall regex match. Match.Groups[1].Index and Match.Groups[1].Length return the starting position and length of the text matched by the group. See Recipe 3.8 for more details on Index and Length.

    Groups[0] holds the details for the overall regex match, which are also held by the match object directly. Match.Value and Match.Groups[0].Value are equivalent.

    The Groups collection does not throw an exception if you pass an invalid group number. For example, Groups[-1] still returns a Group object, but the properties of that Group object will indicate that the fictional capturing group -1 failed to match. The best way to test this is to use the Success property. Groups[-1].Success will return false.

    To determine how many capturing groups there are, check Match.Groups.Count. The Count property follows the same convention as the Count property for all collection objects in .NET: it returns the number of elements in the collection, which is the highest allowed index plus one. In our example, the Groups collection holds Groups[0] and Groups[1]. Groups.Count thus returns 2.

    Java

    The code for getting either the text matched by a capturing group or the match details of a capturing group is practically the same as that for the whole regex match, as shown in the preceding two recipes. The group(), start() and end(), methods of the Matcher class all take one optional parameter. Without this parameter, or with this parameter set to zero, you get the match or positions of the whole regex match.

    If you pass a positive number, you get the details of that capturing group. Groups are numbered starting at one, just like backreferences in the regular expression itself. If you specify a number higher than the number of capturing groups in your regular expression, these three functions throw an IndexOutOfBoundsException. If the capturing group exists but did not participate in the match, group(n) returns null, whereas start(n) and end(n) both return -1.

    JavaScript

    As explained in the previous recipe, the exec() method of a regular expression object returns an array with details about the match. Element zero in the array holds the overall regex match. Element one holds the text matched by the first capturing group, element two stores the second group’s match, etc.

    If the regular expression cannot match the string at all, regexp.exec() returns null.

    PHP

    Recipe 3.7 explains how you can get the text matched by the regular expression by passing a third parameter to preg_match(). When preg_match() returns 1, the parameter is filled with an array. Element zero holds a string with the overall regex match.

    Element one holds the text matched by the first capturing group, element two the text from the second group, and so on. The length of the array is the number of capturing groups plus one. Array indexes correspond to backreference numbers in the regular expression.

    If you specify the PREG_OFFSET_CAPTURE constant as the fourth parameter, as explained in the previous recipe, then the length of the array is still the number of capturing groups plus one. But instead of holding a string at each index, the array will hold subarrays with two elements. Subelement zero is the string with the text matched by the overall regex or the capturing group. Subelement one is an integer that indicates the position in the subject string at which the matched text starts.

    Perl

    When the pattern-matching operator m// finds a match, it sets several special variables. Those include the numbered variables $1, $2, $3, etc., which hold the part of the string matched by the capturing groups in the regular expression.

    Python

    The solution to this problem is almost identical to the one in Recipe 3.7. Instead of calling group() without any parameters, we specify the number of the capturing group we’re interested in. Call group(1) to get the text matched by the first capturing group, group(2) for the second group, and so on. Python supports up to 99 capturing groups. Group number 0 is the overall regular expression match. If you pass a number greater than the number of capturing groups in your regular expression, then group() raises an IndexError exception. If the group number is valid but the group did not participate in the regex match, group() returns None.

    You can pass multiple group numbers to group() to get the text matched by several capturing groups in one call. The result will be a list of strings.

    If you want to retrieve a tuple with the text matched by all the capturing groups, you can call the groups() method of MatchObject. The tuple will hold None for groups that did not participate in the match. If you pass a parameter to groups(), that value is used instead of None for groups that did not participate in the match.

    If you want a dictionary instead of a tuple with the text matched by the capturing groups, call groupdict() instead of groups(). You can pass a parameter to groupdict() to put something other than None in the dictionary for groups that did not participate in the match.

    Ruby

    Recipe 3.8 explains the $~ variable and the MatchData object. In an array context, this object evaluates to an array with the text matched by all the capturing groups in your regular expression. Capturing groups are numbered starting at 1, just like backreferences in the regular expression. Element 0 in the array holds the overall regular expression match.

    $1, $2, and beyond are special read-only variables. $1 is a shortcut to $~[1], which holds the text matched by the first capturing group. $2 retrieves the second group, and so on.

    Named Capture

    If your regular expression uses named capturing groups, you can use the group’s name to retrieve its match in your code.

    C#

    For quick one-off matches, you can use the static call:

    string resultString = Regex.Match(subjectString,
                   "http://(?<domain>[a-z0-9.-]+)").Groups["domain"].Value;

    To use the same regex repeatedly, construct a Regex object:

    Regex regexObj = new Regex("http://(?<domain>[a-z0-9.-]+)");
    string resultString = regexObj.Match(subjectString).Groups["domain"].Value;

    In C#, there’s no real difference in the code for getting the Group object for a named group compared with a numbered group. Instead of indexing the Groups collection with an integer, index it with a string. Also in this case, .NET will not throw an exception if the group does not exist. Match.Groups["nosuchgroup"].Success merely returns false.

    VB.NET

    For quick one-off matches, you can use the static call:

    Dim ResultString = Regex.Match(SubjectString,
                       "http://(?<domain>[a-z0-9.-]+)").Groups("domain").Value

    To use the same regex repeatedly, construct a Regex object:

    Dim RegexObj As New Regex("http://(?<domain>[a-z0-9.-]+)")
    Dim ResultString = RegexObj.Match(SubjectString).Groups("domain").Value

    In VB.NET, there’s no real difference in the code for getting the Group object for a named group compared with a numbered group. Instead of indexing the Groups collection with an integer, index it with a string. Also in this case, .NET will not throw an exception if the group does not exist. Match.Groups("nosuchgroup").Success merely returns False.

    Java

    String resultString = null;
    Pattern regex = Pattern.compile("http://(?<domain>[a-z0-9.-]+)");
    Matcher regexMatcher = regex.matcher(subjectString);
    if (regexMatcher.find()) {
        resultString = regexMatcher.group("domain");
    }

    Java 7 adds support for named capturing groups. It also adds an overload to the Matcher.group() method that takes the name of a capturing group as its parameter, and returns the text matched by that capturing group. It throws an IllegalArgumentException if you pass the name of a group that does not exist.

    Unfortunately, the Matcher.start() and Matcher.end() methods do not have similar overloads. If you want to get the start or the end of a named capturing group, you have to reference it by its number. Java numbers both named and unnamed capturing groups from left to right. The group(), start(), and end() methods of the Matcher class all take one optional parameter. Without this parameter, or with this parameter set to zero, you get the match or positions of the whole regex match.

    XRegExp

    var result;
    var match = XRegExp.exec(subject, 
                             XRegExp("http://(?<domain>[a-z0-9.-]+)"));
    if (match) {
        result = match.domain;
    } else {
        result = "";
    }

    XRegExp extends JavaScript’s regular expression syntax with named capture. XRegExp.exec() adds a property for each named capturing group to the match object it returns, allowing you to easily reference each group by name.

    PHP

    if (preg_match('%http://(?P<domain>[a-z0-9.-]+)%', $subject, $groups)) {
        $result = $groups['domain'];
    } else {
        $result = '';
    }

    If your regular expression has named capturing groups, then the array assigned to $groups is an associative array. The text matched by each named capturing group is added to the array twice. You can retrieve the matched text by indexing the array with either the group’s number or the group’s name. In the code sample, $groups[0] stores the overall regex match, whereas both $groups[1] and $groups['domain'] store the text matched by the regular expression’s only capturing group.

    Perl

    if ($subject =~ '!http://(?<domain>[a-z0-9.-]+)%!) {
        $result = $+{'domain'};
    } else {
        $result = '';
    }

    Perl supports named capturing groups starting with version 5.10. The %+ hash stores the text matched by all named capturing groups. Perl numbers named groups along with numbered groups. In this example, both $1 and $+{name} store the text matched by the regular expression’s only capturing group.

    Python

    matchobj = re.search("http://(?P<domain>[a-z0-9.-]+)", subject)
    if matchobj:
        result = matchobj.group("domain")
    else:
        result = ""

    If your regular expression has named capturing groups, you can pass the group’s name instead of its number to the group() method.

    Ruby

    Ruby 1.9 adds support for named capture to the regular expression syntax. It also extends the $~ variable and the MatchData object explained in Recipe 3.8 to support named capture. $~["name"] or matchobj["name"] returns the text matched by the named group “name.” Call matchobj.begin("name") and matchobj.end("name") to retrieve the beginning and ending positions of the match of a named group.

    See Also

    Recipe 2.9 explains numbered capturing groups.

    Recipe 2.11 explains named capturing groups.