C# Regex.Split Examples

Split strings based on patterns with the Regex.Split method from System.Text.RegularExpressions.

Regex.Split. This method separates strings based on a pattern. It handles a delimiter specified as a pattern—such as \D+ which means non-digit characters.

Benefits, Regex. Using a Regex yields a greater level of flexibility and power than string.Split. The syntax is more complicated, and performance may be worse.Split Regex

First example. We use Regex.Split to split on all non-digit values in the input string. We then loop through the result strings, with a foreach-loop, and use int.TryParse.Parse

Input: The input string contains the numbers 10, 20, 40 and 1, and the static Regex.Split method is called with two parameters.

Pattern: The string @"\D+" is a verbatim string literal that matches non-digit chars. An escaped uppercase letter like \D means NOT.

Regex.Split Numbers Static

C# program that uses Regex.Split using System; using System.Text.RegularExpressions; class Program { static void Main() { // // String containing numbers. // string sentence = "10 cats, 20 dogs, 40 fish and 1 programmer."; // // Get all digit sequence as strings. // string[] digits = Regex.Split(sentence, @"\D+"); // // Now we have each number string. // foreach (string value in digits) { // // Parse the value to get the number. // int number; if (int.TryParse(value, out number)) { Console.WriteLine(value); } } } } Output 10 20 40 1

Whitespace. Here we extract all substrings that are separated by whitespace characters. We could also use string.Split. But this version is simpler and can also be more easily extended.

Note: The example gets all operands and operators from an equation string. An operand is a character like * that acts on operands.

Tokens: With Regex, we implement a simple tokenizer. Lexical analysis and tokenization is done in many programs.

Warning: This may be an effective way to parse computer languages or program output, but it is not the fastest way.

C# program that tokenizes using System; using System.Text.RegularExpressions; class Program { static void Main() { // // The equation. // string operation = "3 * 5 = 15"; // // Split it on whitespace sequences. // string[] operands = Regex.Split(operation, @"\s+"); // // Now we have each token. // foreach (string operand in operands) { Console.WriteLine(operand); } } } Output 3 * 5 = 15

Uppercase. Here we get all the words that have an initial uppercase letter in a string. The Regex.Split call gets all the words. And the foreach-loop checks the first letters.Foreach

Tip: It is often useful to combine regular expressions and manual looping and string operations.

C# program that collects uppercase words using System; using System.Collections.Generic; using System.Text.RegularExpressions; class Program { static void Main() { // // String containing uppercased words. // string sentence = "Bob and Michelle are from Indiana."; // // Get all words. // string[] uppercaseWords = Regex.Split(sentence, @"\W"); // // Get all uppercased words. // var list = new List<string>(); foreach (string value in uppercaseWords) { // // Check the word. // if (!string.IsNullOrEmpty(value) && char.IsUpper(value[0])) { list.Add(value); } } // // Write all proper nouns. // foreach (var value in list) { Console.WriteLine(value); } } } Output Bob Michelle Indiana

Discussion. For performance consider the string Split method (on the string type) instead of regular expressions. That method is more appropriate for precise and predictable input.

Also: You can change the Regex.Split method call into an instance Regex. This enhances performance and reduces memory pressure.

Further: You can use the RegexOptions.Compiled enumerated constant for greater performance.

RegexOptions.Compiled

A summary. We extracted strings with the Regex.Split method. We used patterns of non-digit characters, whitespace characters, and non-word characters.

We processed the string array result of Regex.Split by parsing the integers in a sentence. Using loops on the results of Regex.Split is an easy way to further filter your results.