| File: Dynamic\DataOperations\FilterRowsByColumn.cs | Web Access |
| Project: src\docs\samples\Microsoft.ML.Samples\Microsoft.ML.Samples.csproj (Microsoft.ML.Samples) |
using System; using System.Collections.Generic; using Microsoft.ML; namespace Samples.Dynamic { public static class FilterRowsByColumn { // // Sample class showing how to filter out some rows in // IDataView. public static void Example() { // Create a new context for ML.NET operations. It can be used for // exception tracking and logging, as a catalog of available // operations and as the source of randomness. var mlContext = new MLContext(); // Get a small dataset as an IEnumerable. var enumerableOfData = GetSampleTemperatureData(10); var data = mlContext.Data.LoadFromEnumerable(enumerableOfData); // Before we apply a filter, examine all the records in the dataset. Console.WriteLine($"Date\tTemperature"); foreach (var row in enumerableOfData) { Console.WriteLine( $"{row.Date.ToString("d")}\t{row.Temperature}"); } Console.WriteLine(); // Expected output: // Date Temperature // 1/2/2012 36 // 1/3/2012 36 // 1/4/2012 34 // 1/5/2012 35 // 1/6/2012 35 // 1/7/2012 39 // 1/8/2012 40 // 1/9/2012 35 // 1/10/2012 30 // 1/11/2012 29 // Filter the data by the values of the temperature. The lower bound is // inclusive, the upper exclusive. var filteredData = mlContext.Data .FilterRowsByColumn(data, columnName: "Temperature", lowerBound: 34, upperBound: 37); // Look at the filtered data and observe that values outside [34,37) // have been dropped. var enumerable = mlContext.Data .CreateEnumerable<SampleTemperatureData>(filteredData, reuseRowObject: true); Console.WriteLine($"Date\tTemperature"); foreach (var row in enumerable) { Console.WriteLine( $"{row.Date.ToString("d")}\t{row.Temperature}"); } // Expected output: // Date Temperature // 1/2/2012 36 // 1/3/2012 36 // 1/4/2012 34 // 1/5/2012 35 // 1/6/2012 35 // 1/9/2012 35 } private class SampleTemperatureData { public DateTime Date { get; set; } public float Temperature { get; set; } } /// <summary> /// Get a fake temperature dataset. /// </summary> /// <param name="exampleCount">The number of examples to return.</param> /// <returns>An enumerable of <see cref="SampleTemperatureData"/>.</returns> private static IEnumerable<SampleTemperatureData> GetSampleTemperatureData( int exampleCount) { var rng = new Random(1234321); var date = new DateTime(2012, 1, 1); float temperature = 39.0f; for (int i = 0; i < exampleCount; i++) { date = date.AddDays(1); temperature += rng.Next(-5, 5); yield return new SampleTemperatureData { Date = date, Temperature = temperature }; } } } }