Extreme Optimization™: Complexity made simple.

Math and Statistics
Libraries for .NET

  • Home
  • Features
    • Math Library
    • Vector and Matrix Library
    • Statistics Library
    • Performance
    • Usability
  • Documentation
    • Introduction
    • Math Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Reference
  • Resources
    • Downloads
    • QuickStart Samples
    • Sample Applications
    • Frequently Asked Questions
    • Technical Support
  • Blog
  • Order
  • Company
    • About us
    • Testimonials
    • Customers
    • Press Releases
    • Careers
    • Partners
    • Contact us
Introduction
Deployment Guide
Configuration
Using Parallelism
Expand Mathematics Library User's GuideMathematics Library User's Guide
Expand Vector and Matrix Library User's GuideVector and Matrix Library User's Guide
Expand Data Analysis Library User's GuideData Analysis Library User's Guide
Expand Statistics Library User's GuideStatistics Library User's Guide
Expand Data Access Library User's GuideData Access Library User's Guide
Expand ReferenceReference
  • Extreme Optimization
    • Features
    • Solutions
    • Documentation
    • QuickStart Samples
    • Sample Applications
    • Downloads
    • Technical Support
    • Download trial
    • How to buy
    • Blog
    • Company
    • Resources
  • Documentation
    • Introduction
    • Deployment Guide
    • 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.Mathematics
    • Extreme.Mathematics.Algorithms
    • Extreme.Mathematics.Calculus
    • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations
    • Extreme.Mathematics.Curves
    • Extreme.Mathematics.Curves.Nonlinear
    • Extreme.Mathematics.Distributed
    • Extreme.Mathematics.Distributed.Cuda
    • Extreme.Mathematics.EquationSolvers
    • Extreme.Mathematics.FSharp
    • Extreme.Mathematics.Generic
    • Extreme.Mathematics.Generic.LinearAlgebra
    • Extreme.Mathematics.Generic.LinearAlgebra.Implementation
    • Extreme.Mathematics.Generic.LinearAlgebra.Providers
    • Extreme.Mathematics.Generic.SignalProcessing
    • Extreme.Mathematics.Implementation
    • Extreme.Mathematics.LinearAlgebra
    • Extreme.Mathematics.LinearAlgebra.Complex
    • Extreme.Mathematics.LinearAlgebra.Complex.Decompositions
    • Extreme.Mathematics.LinearAlgebra.Implementation
    • Extreme.Mathematics.LinearAlgebra.IO
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners
    • Extreme.Mathematics.LinearAlgebra.Providers
    • Extreme.Mathematics.LinearAlgebra.Sparse
    • Extreme.Mathematics.Optimization
    • Extreme.Mathematics.Optimization.Genetic
    • Extreme.Mathematics.Optimization.LineSearches
    • Extreme.Mathematics.Random
    • Extreme.Mathematics.SignalProcessing
    • Extreme.Numerics.FSharp
    • Extreme.Statistics
    • Extreme.Statistics.Distributions
    • Extreme.Statistics.IO
    • Extreme.Statistics.Linq
    • Extreme.Statistics.Multivariate
    • Extreme.Statistics.Random
    • Extreme.Statistics.Tests
    • Extreme.Statistics.TimeSeriesAnalysis
  • Extreme.Collections
    • Aggregator(T, U) Class
    • Aggregator2(T, U) Class
    • Aggregator2Group Class
    • Aggregator2Group(T) Class
    • AggregatorExtensions Class
    • AggregatorGroup Class
    • AggregatorGroup(T) Class
    • Aggregators Class
    • Array1D(T) Structure
    • Array2D(T) Structure
    • ArraySlice(T) Structure
    • DataFrame Class
    • DataFrame(R, C) Class
    • DataFrameRow(R, C) Class
    • DateTimeUnit Enumeration
    • Direction Enumeration
    • Grouping Class
    • Grouping(TKey) Class
    • IAccumulator(T, U) Interface
    • IAccumulator2(T, U) Interface
    • IAccumulator2(T, U, V) Interface
    • IAggregator Interface
    • IAggregator(T) Interface
    • IAggregator2 Interface
    • IAggregator2(T) Interface
    • ICategoricalVector Interface
    • IDataFrame Interface
    • IGrouping Interface
    • IIndex Interface
    • Index Class
    • Index(T) Class
    • IPivot Interface
    • IVector Interface
    • JoinType Enumeration
    • NativeArray1D(T) Structure
    • NativeArray2D(T) Structure
    • NativeArraySlice(T) Structure
    • Pivot Class
    • Pivot(R, C) Class
    • Recurrence Class
    • SortOrder Enumeration
    • TypedVectorWrapper(K, T) Structure
  • DataFrame Class
    • Properties
    • Methods
  • Methods
    • Apply(R, C, T) Method
    • CreateEmpty(R, C) Method
    • FromColumns Method Overloads
    • FromDataTable Method Overloads
    • FromMatrix(R, C, T) Method
    • FromObjects Method Overloads
    • GetRows Method Overloads
    • ReadCsv Method Overloads
    • Stack Method Overloads
    • Unstack Method Overloads
  • Apply(R, C, T) Method
DataFrameApplyR, C, T Method Extreme Optimization Numerical Libraries for .NET Professional
Applies the specified matrix function to two data frames and returns the result.

Namespace: Extreme.Collections
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.17114.0)
Syntax

C#
VB
C++
F#
Copy
public static DataFrame<R, C> Apply<R, C, T>(
	Func<Matrix<T>, Matrix<T>, Matrix<T>> function,
	DataFrame<R, C> left,
	DataFrame<R, C> right
)
Public Shared Function Apply(Of R, C, T) ( 
	function As Func(Of Matrix(Of T), Matrix(Of T), Matrix(Of T)),
	left As DataFrame(Of R, C),
	right As DataFrame(Of R, C)
) As DataFrame(Of R, C)
public:
generic<typename R, typename C, typename T>
static DataFrame<R, C>^ Apply(
	Func<Matrix<T>^, Matrix<T>^, Matrix<T>^>^ function, 
	DataFrame<R, C>^ left, 
	DataFrame<R, C>^ right
)
static member Apply : 
        function : Func<Matrix<'T>, Matrix<'T>, Matrix<'T>> * 
        left : DataFrame<'R, 'C> * 
        right : DataFrame<'R, 'C> -> DataFrame<'R, 'C> 

Parameters

function
Type: SystemFuncMatrixT, MatrixT, MatrixT
A function that maps two matrices with element type T to another matrix.
left
Type: Extreme.CollectionsDataFrameR, C
The data frame that provides the first argument to function.
right
Type: Extreme.CollectionsDataFrameR, C
The data frame that provides the second argument to function.

Type Parameters

R
The element type of the row index of the data frames.
C
The element type of the column index of the data frames.
T
The element type of the matrix function.

Return Value

Type: DataFrameR, C
A new data frame that is the result of applying function to left and right converted to matrices with element type T.
Version Information

Numerical Libraries

Supported in: 5.x
See Also

Reference

DataFrame Class
Extreme.Collections Namespace

Copyright (c) 2004-2017 ExoAnalytics Inc.

Send comments on this topic to support@extremeoptimization.com

Copyright © 2004-2018, 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.