Random.NextDouble Method
.NET Framework 4.5
Returns a random number between 0.0 and 1.0.
Namespace: System
Assembly: mscorlib (in mscorlib.dll)
Return Value
Type: System.DoubleA double-precision floating point number greater than or equal to 0.0, and less than 1.0.
The following example uses the NextDouble method to generate sequences of random doubles.
// Example of the Random class constructors and Random.NextDouble( ) // method. using System; using System.Threading; public class RandomObjectDemo { // Generate random numbers from the specified Random object. static void RunIntNDoubleRandoms( Random randObj ) { // Generate the first six random integers. for( int j = 0; j < 6; j++ ) Console.Write( " {0,10} ", randObj.Next( ) ); Console.WriteLine( ); // Generate the first six random doubles. for( int j = 0; j < 6; j++ ) Console.Write( " {0:F8} ", randObj.NextDouble( ) ); Console.WriteLine( ); } // Create a Random object with the specified seed. static void FixedSeedRandoms( int seed ) { Console.WriteLine( "\nRandom numbers from a Random object with " + "seed = {0}:", seed ); Random fixRand = new Random( seed ); RunIntNDoubleRandoms( fixRand ); } // Create a random object with a timer-generated seed. static void AutoSeedRandoms( ) { // Wait to allow the timer to advance. Thread.Sleep( 1 ); Console.WriteLine( "\nRandom numbers from a Random object " + "with an auto-generated seed:" ); Random autoRand = new Random( ); RunIntNDoubleRandoms( autoRand ); } static void Main( ) { Console.WriteLine( "This example of the Random class constructors and " + "Random.NextDouble( ) \n" + "generates the following output.\n" ); Console.WriteLine( "Create Random objects, and then generate and " + "display six integers and \nsix doubles from each."); FixedSeedRandoms( 123 ); FixedSeedRandoms( 123 ); FixedSeedRandoms( 456 ); FixedSeedRandoms( 456 ); AutoSeedRandoms( ); AutoSeedRandoms( ); AutoSeedRandoms( ); } } /* This example of the Random class constructors and Random.NextDouble( ) generates the following output. Create Random objects, and then generate and display six integers and six doubles from each. Random numbers from a Random object with seed = 123: 2114319875 1949518561 1596751841 1742987178 1586516133 103755708 0.01700087 0.14935942 0.19470390 0.63008947 0.90976122 0.49519146 Random numbers from a Random object with seed = 123: 2114319875 1949518561 1596751841 1742987178 1586516133 103755708 0.01700087 0.14935942 0.19470390 0.63008947 0.90976122 0.49519146 Random numbers from a Random object with seed = 456: 2044805024 1323311594 1087799997 1907260840 179380355 120870348 0.21988117 0.21026556 0.39236514 0.42420498 0.24102703 0.47310170 Random numbers from a Random object with seed = 456: 2044805024 1323311594 1087799997 1907260840 179380355 120870348 0.21988117 0.21026556 0.39236514 0.42420498 0.24102703 0.47310170 Random numbers from a Random object with an auto-generated seed: 380213349 127379247 1969091178 1983029819 1963098450 1648433124 0.08824121 0.41249688 0.36445811 0.05637512 0.62702451 0.49595560 Random numbers from a Random object with an auto-generated seed: 861793304 2133528783 1947358439 124230908 921262645 1087892791 0.56880819 0.42934091 0.60162512 0.74388610 0.99432979 0.30310005 Random numbers from a Random object with an auto-generated seed: 1343373259 1992194672 1925625700 412915644 2026910487 527352458 0.04937517 0.44618494 0.83879212 0.43139707 0.36163507 0.11024451 */
The following example calls the NextDouble method to generate 100 random numbers and displays their frequency distribution.
using System; public class Example { public static void Main() { int[] frequency = new int[10]; double number; Random rnd = new Random(); for (int ctr = 0; ctr <= 99; ctr++) { number = rnd.NextDouble(); frequency[(int) Math.Floor(number*10)] ++; } Console.WriteLine("Distribution of Random Numbers:"); for (int ctr = frequency.GetLowerBound(0); ctr <= frequency.GetUpperBound(0); ctr++) Console.WriteLine("0.{0}0-0.{0}9 {1}", ctr, frequency[ctr]); } } // The following example displays output similar to the following: // Distribution of Random Numbers: // 0.00-0.09 16 // 0.10-0.19 8 // 0.20-0.29 8 // 0.30-0.39 11 // 0.40-0.49 9 // 0.50-0.59 6 // 0.60-0.69 13 // 0.70-0.79 6 // 0.80-0.89 9 // 0.90-0.99 14
Windows 8, Windows Server 2012, Windows 7, Windows Vista SP2, Windows Server 2008 (Server Core Role not supported), Windows Server 2008 R2 (Server Core Role supported with SP1 or later; Itanium not supported)
The .NET Framework does not support all versions of every platform. For a list of the supported versions, see .NET Framework System Requirements.