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
  • ReadCsv Method Overloads
    • ReadCsv Method (String)
    • ReadCsv(R) Method (String, String, Boolean)
  • ReadCsv(R) Method (String, String, Boolean)
DataFrameReadCsvR Method (String, String, Boolean)Extreme Optimization Numerical Libraries for .NET Professional
Reads a data frame from a CSV file and uses the specified column as the row index.

Namespace: Extreme.Collections
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.16312.0)
Syntax

C#
VB
C++
F#
Copy
public static DataFrame<R, string> ReadCsv<R>(
	string path,
	string keyColumn,
	bool dropKeyColumn = false
)
Public Shared Function ReadCsv(Of R) ( 
	path As String,
	keyColumn As String,
	Optional dropKeyColumn As Boolean = false
) As DataFrame(Of R, String)
public:
generic<typename R>
static DataFrame<R, String^>^ ReadCsv(
	String^ path, 
	String^ keyColumn, 
	bool dropKeyColumn = false
)
static member ReadCsv : 
        path : string * 
        keyColumn : string * 
        ?dropKeyColumn : bool 
(* Defaults:
        let _dropKeyColumn = defaultArg dropKeyColumn false
*)
-> DataFrame<'R, string> 

Parameters

path
Type: SystemString
The path to the file.
keyColumn
Type: SystemString
The name of the column that contains the column keys.
dropKeyColumn (Optional)
Type: SystemBoolean
If , the key column is not included in the returned data frame.

Type Parameters

R
The type of the row keys.

Return Value

Type: DataFrameR, String
A data frame that contains the data in the CSV file.
Exceptions

ExceptionCondition
KeyNotFoundException

A column named keyColumn was not found in the file.

Version Information

Numerical Libraries

Supported in: 5.x
See Also

Reference

DataFrame Class
ReadCsv Overload
Extreme.Collections Namespace

Copyright (c) 2004-2016 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.