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    • Accumulator(T, U) Class
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    • Grouping Class
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    • Histogram Class
    • Histogram(T) Class
    • IAccumulator(T, U) Interface
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  • Histogram Class
    • Methods
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    • Create(T) Method
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    • CreateHistogram Method Overloads
    • CreateHistogram2D Method Overloads
    • FindBin(T) Method
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    • TryFindBin(T) Method
  • CreateHistogram2D Method Overloads
    • CreateHistogram2D Method (ICategoricalVector, ICategoricalVector)
    • CreateHistogram2D Method (ICategoricalVector, ICategoricalVector, Vector(Double))
    • CreateHistogram2D(T, U) Method (Vector(T), IntervalIndex(T), Vector(U), IntervalIndex(U))
    • CreateHistogram2D(T, U) Method (Vector(T), IntervalIndex(T), Vector(U), IntervalIndex(U), Vector(Double))
  • CreateHistogram2D(T, U) Method (Vector(T), IntervalIndex(T), Vector(U), IntervalIndex(U), Vector(Double))

HistogramCreateHistogram2DT, U Method (VectorT, IntervalIndexT, VectorU, IntervalIndexU, VectorDouble)

Extreme Optimization Numerical Libraries for .NET Professional
Returns a two-dimensional histogram of the values in two vectors.

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

C#
VB
C++
F#
Copy
public static Matrix<double> CreateHistogram2D<T, U>(
	Vector<T> rowSamples,
	IntervalIndex<T> rowBins,
	Vector<U> columnSamples,
	IntervalIndex<U> columnBins,
	Vector<double> weights
)
where T : Object, IComparable<T>
where U : Object, IComparable<U>
Public Shared Function CreateHistogram2D(Of T As {Object, IComparable(Of T)}, U As {Object, IComparable(Of U)}) ( 
	rowSamples As Vector(Of T),
	rowBins As IntervalIndex(Of T),
	columnSamples As Vector(Of U),
	columnBins As IntervalIndex(Of U),
	weights As Vector(Of Double)
) As Matrix(Of Double)
public:
generic<typename T, typename U>
where T : Object, IComparable<T>
where U : Object, IComparable<U>
static Matrix<double>^ CreateHistogram2D(
	Vector<T>^ rowSamples, 
	IntervalIndex<T>^ rowBins, 
	Vector<U>^ columnSamples, 
	IntervalIndex<U>^ columnBins, 
	Vector<double>^ weights
)
static member CreateHistogram2D : 
        rowSamples : Vector<'T> * 
        rowBins : IntervalIndex<'T> * 
        columnSamples : Vector<'U> * 
        columnBins : IntervalIndex<'U> * 
        weights : Vector<float> -> Matrix<float>  when 'T : Object and IComparable<'T> when 'U : Object and IComparable<'U>

Parameters

rowSamples
Type: Extreme.MathematicsVectorT
A vector containing values for the row dimension.
rowBins
Type: Extreme.DataAnalysisIntervalIndexT
An interval index that specifies the bins for rowSamples.
columnSamples
Type: Extreme.MathematicsVectorU
A vector containing values for the column dimension
columnBins
Type: Extreme.DataAnalysisIntervalIndexU
An interval index that specifies the bins for columnSamples.
weights
Type: Extreme.MathematicsVectorDouble
A vector that supplies weights for the samples.

Type Parameters

T
The type of the row samples.
U
The type of the column samples.

Return Value

Type: MatrixDouble
A matrix containing a histogram of the values in rowSamples and columnSamples, binned using rowBins and columnBins.
Exceptions

ExceptionCondition
ArgumentNullException

rowSamples is .

-or-

columnSamples is .

-or-

rowBins is .

-or-

columnBins is .

-or-

weights is .

DimensionMismatchException

rowSamples and columnSamples do not have the same length.

See Also

Reference

Histogram Class
CreateHistogram2D Overload
Extreme.DataAnalysis Namespace

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