source: trunk/sources/HeuristicLab.DataPreprocessing.Views/3.4/DataCompletenessView.cs @ 15518

Last change on this file since 15518 was 15518, checked in by pfleck, 22 months ago

#2809: merged branch to trunk

File size: 5.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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
22using System;
23using System.Collections.Generic;
24using System.Drawing;
25using System.Linq;
26using System.Windows.Forms.DataVisualization.Charting;
27using HeuristicLab.Core.Views;
28using HeuristicLab.MainForm;
29
30namespace HeuristicLab.DataPreprocessing.Views {
31  [View("Histogram View")]
32  [Content(typeof(DataCompletenessChartContent), true)]
33  public partial class DataCompletenessView : ItemView {
34    //series colors
35    private static readonly Color colorNonMissingValue = Color.CornflowerBlue;
36    private static readonly Color colorMissingValue = Color.Orange;
37
38    public new DataCompletenessChartContent Content {
39      get { return (DataCompletenessChartContent)base.Content; }
40      set { base.Content = value; }
41    }
42
43    public DataCompletenessView() {
44      InitializeComponent();
45    }
46
47    protected override void OnContentChanged() {
48      base.OnContentChanged();
49      if (Content == null) return;
50      InitData();
51    }
52
53    private void InitData() {
54      bool[,] valueMissing = new bool[Content.PreprocessingData.Rows, Content.PreprocessingData.Columns];
55      for (int row = 0; row < Content.PreprocessingData.Rows; row++) {
56        for (int column = 0; column < Content.PreprocessingData.Columns; column++)
57          valueMissing[row, column] = Content.PreprocessingData.IsCellEmpty(column, row);
58      }
59
60      var yValuesPerColumn = ProcessMatrixForCharting(valueMissing);
61      PrepareChart();
62      CreateSeries(yValuesPerColumn);
63    }
64
65    private void PrepareChart() {
66      chart.EnableDoubleClickResetsZoom = true;
67      chart.ChartAreas[0].AxisX.MajorGrid.LineWidth = 0;
68      chart.ChartAreas[0].AxisY.MajorGrid.LineWidth = 0;
69      chart.ChartAreas[0].AxisX.IsMarginVisible = false;
70      chart.ChartAreas[0].AxisY.IsMarginVisible = false;
71      chart.ChartAreas[0].CursorX.IsUserEnabled = true;
72      chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
73      chart.ChartAreas[0].CursorY.IsUserEnabled = true;
74      chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
75      //custom x axis label
76      double from = 0.5;
77      foreach (String columnName in Content.PreprocessingData.VariableNames) {
78        double to = from + 1;
79        chart.ChartAreas[0].AxisX.CustomLabels.Add(from, to, columnName);
80        from = to;
81      }
82      //custom y axis label
83      chart.ChartAreas[0].AxisY.IsReversed = true;
84    }
85
86    private void CreateSeries(List<List<int>> yValuesPerColumn) {
87      chart.Series.SuspendUpdates();
88      //prepare series
89      int seriesCount = DetermineSeriesCount(yValuesPerColumn);
90      for (int i = 0; i < seriesCount; i++) {
91        Series series = new Series(CreateSeriesName(i));
92        series.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.StackedColumn;
93        series.IsVisibleInLegend = false;
94        series["PointWidth"] = "1.0";
95        series.IsVisibleInLegend = i < 2; //only first two series are visible, non-missing and missing values
96        series.Color = i % 2 == 0 ? colorNonMissingValue : colorMissingValue;
97
98        var values = yValuesPerColumn.Select(y => i < y.Count ? y[i] : 0).ToArray();
99        series.Points.DataBindY(values);
100        chart.Series.Add(series);
101      }
102      chart.Series.ResumeUpdates();
103    }
104
105    private String CreateSeriesName(int index) {
106      if (index == 0)
107        return "non-missing value";
108      else if (index == 1)
109        return "missing value";
110      return "series" + index;
111    }
112
113    #region data_preparation_for_chartseries
114    private int DetermineSeriesCount(List<List<int>> yValuesPerColumn) {
115      return yValuesPerColumn.Max(values => values.Count);
116    }
117
118    private List<List<int>> ProcessMatrixForCharting(bool[,] matrix) {
119      var columnsYValues = new List<List<int>>();
120      for (int column = 0; column < matrix.GetLength(1); column++) {
121        var yValues = new List<int>();
122        bool missingState = false;
123        int valueCount = 0;
124
125        for (int row = 0; row < matrix.GetLength(0); row++) {
126          if (missingState == matrix[row, column]) {
127            valueCount++;
128          } else {
129            yValues.Add(valueCount);
130            valueCount = 1;
131            missingState = !missingState;
132          }
133        }
134        yValues.Add(valueCount);
135        if (missingState) //handle last missing
136        {
137          yValues.Add(0);
138        }
139        columnsYValues.Add(yValues);
140      }
141      return columnsYValues;
142    }
143    #endregion
144  }
145}
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