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source: trunk/sources/HeuristicLab.DataPreprocessing/3.4/Content/PreprocessingChartContent.cs @ 15344

Last change on this file since 15344 was 15210, checked in by pfleck, 7 years ago

#2709 Fixed some small issues and some default behavior.

File size: 4.6 KB
RevLine 
[10539]1#region License Information
2/* HeuristicLab
[14185]3 * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[10539]4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
[10992]22using System;
23using System.Collections.Generic;
[10539]24using System.Drawing;
[15110]25using System.Linq;
[10992]26using HeuristicLab.Analysis;
[10539]27using HeuristicLab.Common;
[15110]28using HeuristicLab.Common.Resources;
[10245]29using HeuristicLab.Core;
[10818]30using HeuristicLab.Data;
[10242]31
[10539]32namespace HeuristicLab.DataPreprocessing {
[10658]33  [Item("PreprocessingChart", "Represents a preprocessing chart.")]
[15110]34  public class PreprocessingChartContent : Item, IViewShortcut {
35    public enum LegendOrder {
[15210]36      Alphabetically,
37      Appearance
[10992]38    }
[10252]39
[15110]40    public static new Image StaticItemImage {
41      get { return VSImageLibrary.PieChart; }
[10992]42    }
[10818]43
44    private ICheckedItemList<StringValue> variableItemList = null;
[10992]45    public ICheckedItemList<StringValue> VariableItemList {
[15110]46      get {
47        if (variableItemList == null)
48          variableItemList = CreateVariableItemList(PreprocessingData);
49        return this.variableItemList;
50      }
[10992]51    }
[10818]52
[10992]53    public IFilteredPreprocessingData PreprocessingData { get; private set; }
[15110]54    public event DataPreprocessingChangedEventHandler Changed {
55      add { PreprocessingData.Changed += value; }
56      remove { PreprocessingData.Changed -= value; }
57    }
[10818]58
[10992]59    public PreprocessingChartContent(IFilteredPreprocessingData preprocessingData) {
60      PreprocessingData = preprocessingData;
[10252]61    }
62
[10658]63    public PreprocessingChartContent(PreprocessingChartContent content, Cloner cloner)
[10539]64      : base(content, cloner) {
[10995]65      this.PreprocessingData = content.PreprocessingData;
[10992]66      this.variableItemList = cloner.Clone<ICheckedItemList<StringValue>>(variableItemList);
[10245]67    }
[10992]68    public override IDeepCloneable Clone(Cloner cloner) {
69      return new PreprocessingChartContent(this, cloner);
70    }
[10245]71
[10992]72    public DataRow CreateDataRow(string variableName, DataRowVisualProperties.DataRowChartType chartType) {
[15110]73      return CreateDataRow(PreprocessingData, variableName, chartType);
[10252]74    }
75
[15110]76    public static DataRow CreateDataRow(IFilteredPreprocessingData preprocessingData, string variableName, DataRowVisualProperties.DataRowChartType chartType) {
77      IList<double> values = preprocessingData.GetValues<double>(preprocessingData.GetColumnIndex(variableName));
78      DataRow row = new DataRow(variableName, "", values);
[10992]79      row.VisualProperties.ChartType = chartType;
80      return row;
[10573]81    }
[10818]82
[15110]83    private static ICheckedItemList<StringValue> CreateVariableItemList(IPreprocessingData preprocessingData) {
[10992]84      ICheckedItemList<StringValue> itemList = new CheckedItemList<StringValue>();
[15110]85      foreach (string name in preprocessingData.GetDoubleVariableNames()) {
[12676]86        var n = new StringValue(name);
[15110]87        bool isInputTarget = preprocessingData.InputVariables.Contains(name) || preprocessingData.TargetVariable == name;
88        itemList.Add(n, isInputTarget);
[10992]89      }
90      return new ReadOnlyCheckedItemList<StringValue>(itemList);
[10818]91    }
[10992]92
[15210]93    public static IEnumerable<string> GetVariableNamesForGrouping(IPreprocessingData preprocessingData, int maxDistinctValues = 20) {
[15110]94      var variableNames = new List<string>();
95
96      for (int i = 0; i < preprocessingData.Columns; ++i) {
97        int distinctValues = Int32.MaxValue;
98        if (preprocessingData.VariableHasType<double>(i))
99          distinctValues = preprocessingData.GetValues<double>(i).GroupBy(x => x).Count();
100        else if (preprocessingData.VariableHasType<string>(i))
101          distinctValues = preprocessingData.GetValues<string>(i).GroupBy(x => x).Count();
102        else if (preprocessingData.VariableHasType<DateTime>(i))
103          distinctValues = preprocessingData.GetValues<DateTime>(i).GroupBy(x => x).Count();
104
[15210]105        if (distinctValues <= maxDistinctValues)
[15110]106          variableNames.Add(preprocessingData.GetVariableName(i));
107      }
108      return variableNames;
[10992]109    }
[10242]110  }
111}
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