• Extreme Optimization
  • Features
  • Solutions
  • Documentation
  • QuickStart Samples
  • Sample Applications
  • Downloads
  • Technical Support
  • Download trial
  • How to buy
  • Blog
  • Company
  • Resources
• Documentation
  • Introduction
  • Deployment Guide
  • Nuget packages
  • Configuration
  • Using Parallelism
  • Mathematics Library User's Guide
  • Vector and Matrix Library User's Guide
  • Data Analysis Library User's Guide
  • Statistics Library User's Guide
  • Data Access Library User's Guide
  • Reference
• Reference
  • Extreme
  • Extreme.Collections
  • Extreme.Data
  • Extreme.Data.Json
  • Extreme.Data.Matlab
  • Extreme.Data.R
  • Extreme.Data.Stata
  • Extreme.Data.Text
  • Extreme.DataAnalysis
  • Extreme.DataAnalysis.Linq
  • Extreme.DataAnalysis.Models
  • Extreme.Mathematics
  • Extreme.Mathematics.Algorithms
  • Extreme.Mathematics.Calculus
  • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations
  • Extreme.Mathematics.Curves
  • Extreme.Mathematics.Curves.Nonlinear
  • Extreme.Mathematics.Distributed
  • Extreme.Mathematics.EquationSolvers
  • Extreme.Mathematics.Generic
  • Extreme.Mathematics.LinearAlgebra
  • Extreme.Mathematics.LinearAlgebra.Implementation
  • Extreme.Mathematics.LinearAlgebra.IterativeSolvers
  • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners
  • Extreme.Mathematics.Optimization
  • Extreme.Mathematics.Optimization.LineSearches
  • Extreme.Mathematics.Random
  • Extreme.Mathematics.SignalProcessing
  • Extreme.Providers
  • Extreme.Providers.InteropServices
  • Extreme.Statistics
  • Extreme.Statistics.Distributions
  • Extreme.Statistics.Multivariate
  • Extreme.Statistics.Tests
  • Extreme.Statistics.TimeSeriesAnalysis
• Extreme.DataAnalysis
  • Accumulator(T, U) Class
  • Aggregator(T, U) Class
  • Aggregator2(T, U) Class
  • Aggregator2Group Class
  • Aggregator2Group(T) Class
  • AggregatorGroup Class
  • AggregatorGroup(T) Class
  • Aggregators Class
  • BoundaryIntervalBehavior Enumeration
  • CategoricalEncoding Class
  • DataFrame Class
  • DataFrame(R, C) Class
  • DataFrameRow(R, C) Class
  • DateTimeExtensions Class
  • DateTimeUnit Enumeration
  • Direction Enumeration
  • Grouping Class
  • Grouping(TKey) Class
  • Histogram Class
  • Histogram(T) Class
  • IAccumulator(T, U) Interface
  • IAccumulator2(T, U) Interface
  • IAccumulator2(T, U, V) Interface
  • IAggregator Interface
  • IAggregator(T) Interface
  • IAggregator2 Interface
  • IAggregator2(T) Interface
  • IDataFrame Interface
  • IGrouping Interface
  • IIndex Interface
  • Index Class
  • Index(T) Class
  • IntervalIndex(T) Class
  • IPivot Interface
  • JoinIndex Class
  • JoinType Enumeration
  • MissingValueAction Enumeration
  • MissingValueException Class
  • MultipleMissingValueAction Enumeration
  • Parameter(T) Class
  • ParameterVector(T) Class
  • Pivot Class
  • Pivot(R, C) Class
  • RankTiebreaker Enumeration
  • Recurrence Class
  • SortOrder Enumeration
  • SpecialBins Enumeration
  • Subset Class
  • TransformedParameter(T) Class
  • TypePreservingAggregatorGroup Class
  • VectorExtensions Class
• Histogram Class
  • Methods

Histogram Class

Extreme Optimization Numerical Libraries for .NET Professional

Contains methods for creating and working with histograms.

Contains methods for creating and working with one and two-dimensional histograms.

Inheritance Hierarchy

---

SystemObject
  Extreme.DataAnalysisHistogram

Namespace:  Extreme.DataAnalysis
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1

Syntax

---

C#

VB

C++

F#

Copy

public static class Histogram

<ExtensionAttribute>
Public NotInheritable Class Histogram

[ExtensionAttribute]
public ref class Histogram abstract sealed

[<AbstractClassAttribute>]
[<SealedAttribute>]
[<ExtensionAttribute>]
type Histogram =  class end

The Histogram type exposes the following members.

Methods

---

	Name	Description
	CreateT	Creates a new histogram.
	CreateEmpty(Int32, Int32)	Returns an empty histogram using the specified bin arrangement.
	CreateEmptyT(IndexT)	Returns a histogram of a vector using the specified bin arrangement.
	CreateEmptyT(IListT, SpecialBins)	Returns an empty histogram using the specified bin arrangement.
	CreateEmptyT(T, T, Int32)	Returns an empty histogram using the specified bin arrangement.
	CreateHistogram(ICategoricalVector)	Returns a histogram of the counts for each value in a vector.
	CreateHistogramT(CategoricalVectorT)	Returns a new histogram of the counts for each value in a vector.
	CreateHistogramT(CategoricalVectorT, VectorDouble)	Returns a new histogram of the counts for each value in a vector.
	CreateHistogramT(IListT, IntervalIndexT)	Returns a histogram of a vector using the specified bin arrangement.
	CreateHistogramT(IListT, IntervalIndexT, IListDouble)	Returns a histogram of a vector using the specified bin arrangement.
	CreateHistogramT(IListT, T, T, Int32, SpecialBins)	Returns a histogram of a vector using the specified bin arrangement.
	CreateHistogramT(VectorT, T, T, Int32, VectorDouble)	Returns a histogram of a vector using the specified bin arrangement.
	CreateHistogram2D(ICategoricalVector, ICategoricalVector)	Returns a two-dimensional histogram of the values in two categorical vectors.
	CreateHistogram2D(ICategoricalVector, ICategoricalVector, VectorDouble)	Returns a two-dimensional histogram of the values in two categorical vectors.
	CreateHistogram2DT, U(VectorT, IntervalIndexT, VectorU, IntervalIndexU)	Returns a two-dimensional histogram of the values in two vectors.
	CreateHistogram2DT, U(VectorT, IntervalIndexT, VectorU, IntervalIndexU, VectorDouble)	Returns a two-dimensional histogram of the values in two vectors.
	FindBinT	Finds the interval that contains the given value.
	GetBoundsT	Gets an array containing the bounds of the bins in a Histogram.
	IncrementT(HistogramT, T)	Increments a bin of a histogram by 1.
	IncrementT(HistogramIntervalT, T)	Increments the bin of a histogram that contains the specified value by 1.
	IncrementT(HistogramT, T, Double)	Increments a bin of a histogram by the specified amount.
	IncrementT(HistogramIntervalT, T, Double)	Increments a bin of a histogram whose range contains a value by the specified amount.
	TabulateT(HistogramT, IEnumerableT)	Enters data from a sequence of values into a histogram.
	TabulateT(HistogramIntervalT, IEnumerableT)	Enters data from a sequence of values into a histogram.
	TabulateT(HistogramT, IListT, IListDouble)	Enters data from a list of values into a histogram using the specified weights.
	TabulateT(HistogramIntervalT, IListT, IListDouble)	Enters data from a list of values into a histogram using the specified weights.
	TryFindBinT	Tries to find the interval that contains the given value.

Top

See Also

---

Reference

Extreme.DataAnalysis Namespace

Copyright © 2004-2021, Extreme Optimization. All rights reserved.
Extreme Optimization, Complexity made simple, M#, and M Sharp are trademarks of ExoAnalytics Inc.
Microsoft, Visual C#, Visual Basic, Visual Studio, Visual Studio.NET, and the Optimized for Visual Studio logo
are registered trademarks of Microsoft Corporation.