• Skip to primary navigation
  • Skip to content
  • Skip to footer
Numerics.NET
Try Free Buy Now Find Anything Sign In Account
  • Welcome
  • .NET Libraries
  • Write Great Code
  • 30 Day Free Trial
  • Pricing
  • Your account
  • QuickStart Samples
  • Nuget Packages
  • Documentation
    • User's Guide and Reference
      • 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
      • API Reference
        • Numerics.NET
        • Numerics.NET.Algorithms
        • Numerics.NET.Calculus
        • Numerics.NET.Calculus.Generic
        • Numerics.NET.Calculus.OrdinaryDifferentialEquations
        • Numerics.NET.Collections
        • Numerics.NET.Curves
        • Numerics.NET.Curves.Generic
        • Numerics.NET.Curves.Nonlinear
        • Numerics.NET.Curves.Surfaces
        • Numerics.NET.Data
        • Numerics.NET.Data.Json
        • Numerics.NET.Data.Matlab
        • Numerics.NET.Data.R
        • Numerics.NET.Data.Stata
        • Numerics.NET.Data.Text
        • Numerics.NET.DataAnalysis
        • Numerics.NET.DataAnalysis.Accumulators
        • Numerics.NET.DataAnalysis.Linq
        • Numerics.NET.DataAnalysis.Models
        • Numerics.NET.DataAnalysis.Schema
          • ColumnSchema<C>
          • ColumnSelector
          • ColumnSemanticInfo
          • DataFrameSchema<R, C>
            • Properties
              • ColumnCount
              • ColumnIndex
              • Columns
              • Item
            • Methods
          • IColumnSchema
          • IDataFrameSchema
          • IMissingValueInfo
          • MeasurementScale
          • MissingValueInfo<T>
        • Numerics.NET.Distributed
        • Numerics.NET.EquationSolvers
        • Numerics.NET.EquationSolvers.Generic
        • Numerics.NET.Generic
        • Numerics.NET.LinearAlgebra
        • Numerics.NET.LinearAlgebra.Implementation
        • Numerics.NET.LinearAlgebra.IterativeSolvers
        • Numerics.NET.LinearAlgebra.IterativeSolvers.Preconditioners
        • Numerics.NET.Optimization
        • Numerics.NET.Optimization.LineSearches
        • Numerics.NET.Providers
        • Numerics.NET.Providers.InteropServices
        • Numerics.NET.Random
        • Numerics.NET.Random.Adapters
        • Numerics.NET.Random.Engines
        • Numerics.NET.Random.Generators
        • Numerics.NET.Random.Seeding
        • Numerics.NET.SignalProcessing
        • Numerics.NET.Statistics
        • Numerics.NET.Statistics.Distributions
        • Numerics.NET.Statistics.Multivariate
        • Numerics.NET.Statistics.ProcessControl
        • Numerics.NET.Statistics.Tests
        • Numerics.NET.Statistics.TimeSeriesAnalysis
        • Numerics.NET.Tensors
    • What's New
    • Release Notes
    • In depth: Tensors
  • Contact Us
  • Blog
  1. Home
  2. Documentation
  3. User's Guide and Reference
  4. API Reference
  5. Numerics.NET.DataAnalysis.Schema
  6. DataFrameSchema<R, C>
  7. Properties
C# Visual Basic C++/CLI F#

DataFrameSchema<R, C> Properties

On this page

  • Properties
  • See Also

Properties

ColumnCount Gets the number of columns described by this schema snapshot.
ColumnIndex Gets the typed column index captured by this schema snapshot.
Columns Gets the ordered column schemas.
Item[C] Gets the column schema with the specified typed column key.
Item[Int32] Gets the column schema at the specified ordinal.

See Also

Reference

DataFrameSchema<R, C> Class
Numerics.NET.DataAnalysis.Schema Namespace
On this page
  • Properties
  • See Also
Copyright © 2003-2026, Extreme Optimization. All rights reserved.
Numerics.NET, Extreme Optimization, Complexity made simple, M#, and M Sharp are trademarks of ExoAnalytics Inc.
Microsoft, C#, Visual Basic, Visual Studio, and the Optimized for Visual Studio logo
are registered trademarks of Microsoft Corporation.

This website uses cookies to improve your experience. Learn more.

Got it!