1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Collections.Generic;
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24 | using System.Drawing;
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25 | using System.Linq;
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26 | using System.Windows.Forms.DataVisualization.Charting;
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27 | using HeuristicLab.Core.Views;
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28 | using HeuristicLab.MainForm;
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29 |
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30 | namespace HeuristicLab.DataPreprocessing.Views {
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31 | [View("Data Completeness Chart")]
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32 | [Content(typeof(DataCompletenessChartContent), true)]
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33 | public partial class DataCompletenessView : ItemView {
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34 | //series colors
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35 | private static readonly Color colorNonMissingValue = Color.CornflowerBlue;
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36 | private static readonly Color colorMissingValue = Color.Orange;
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37 |
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38 | public new DataCompletenessChartContent Content {
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39 | get { return (DataCompletenessChartContent)base.Content; }
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40 | set { base.Content = value; }
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41 | }
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42 |
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43 | public DataCompletenessView() {
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44 | InitializeComponent();
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45 | }
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46 |
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47 | protected override void OnContentChanged() {
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48 | base.OnContentChanged();
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49 | if (Content == null) return;
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50 | InitData();
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51 | }
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52 |
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53 | private void InitData() {
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54 | bool[,] valueMissing = new bool[Content.PreprocessingData.Rows, Content.PreprocessingData.Columns];
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55 | for (int row = 0; row < Content.PreprocessingData.Rows; row++) {
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56 | for (int column = 0; column < Content.PreprocessingData.Columns; column++)
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57 | valueMissing[row, column] = Content.PreprocessingData.IsCellEmpty(column, row);
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58 | }
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59 |
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60 | var yValuesPerColumn = ProcessMatrixForCharting(valueMissing);
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61 | PrepareChart();
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62 | CreateSeries(yValuesPerColumn);
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63 | }
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64 |
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65 | private void PrepareChart() {
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66 | chart.EnableDoubleClickResetsZoom = true;
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67 | chart.ChartAreas[0].AxisX.MajorGrid.LineWidth = 0;
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68 | chart.ChartAreas[0].AxisY.MajorGrid.LineWidth = 0;
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69 | chart.ChartAreas[0].AxisX.IsMarginVisible = false;
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70 | chart.ChartAreas[0].AxisY.IsMarginVisible = false;
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71 | chart.ChartAreas[0].CursorX.IsUserEnabled = true;
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72 | chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
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73 | chart.ChartAreas[0].CursorY.IsUserEnabled = true;
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74 | chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
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75 | //custom x axis label
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76 | double from = 0.5;
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77 | foreach (String columnName in Content.PreprocessingData.VariableNames) {
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78 | double to = from + 1;
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79 | chart.ChartAreas[0].AxisX.CustomLabels.Add(from, to, columnName);
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80 | from = to;
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81 | }
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82 | //custom y axis label
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83 | chart.ChartAreas[0].AxisY.IsReversed = true;
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84 | }
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85 |
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86 | private void CreateSeries(List<List<int>> yValuesPerColumn) {
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87 | chart.Series.SuspendUpdates();
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88 | //prepare series
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89 | int seriesCount = DetermineSeriesCount(yValuesPerColumn);
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90 | for (int i = 0; i < seriesCount; i++) {
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91 | Series series = new Series(CreateSeriesName(i));
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92 | series.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.StackedColumn;
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93 | series.IsVisibleInLegend = false;
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94 | series["PointWidth"] = "1.0";
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95 | series.IsVisibleInLegend = i < 2; //only first two series are visible, non-missing and missing values
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96 | series.Color = i % 2 == 0 ? colorNonMissingValue : colorMissingValue;
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97 |
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98 | var values = yValuesPerColumn.Select(y => i < y.Count ? y[i] : 0).ToArray();
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99 | series.Points.DataBindY(values);
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100 | chart.Series.Add(series);
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101 | }
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102 | chart.Series.ResumeUpdates();
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103 | }
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104 |
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105 | private String CreateSeriesName(int index) {
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106 | if (index == 0)
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107 | return "non-missing value";
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108 | else if (index == 1)
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109 | return "missing value";
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110 | return "series" + index;
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111 | }
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112 |
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113 | #region data_preparation_for_chartseries
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114 | private int DetermineSeriesCount(List<List<int>> yValuesPerColumn) {
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115 | return yValuesPerColumn.Max(values => values.Count);
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116 | }
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117 |
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118 | private List<List<int>> ProcessMatrixForCharting(bool[,] matrix) {
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119 | var columnsYValues = new List<List<int>>();
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120 | for (int column = 0; column < matrix.GetLength(1); column++) {
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121 | var yValues = new List<int>();
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122 | bool missingState = false;
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123 | int valueCount = 0;
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124 |
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125 | for (int row = 0; row < matrix.GetLength(0); row++) {
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126 | if (missingState == matrix[row, column]) {
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127 | valueCount++;
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128 | } else {
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129 | yValues.Add(valueCount);
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130 | valueCount = 1;
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131 | missingState = !missingState;
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132 | }
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133 | }
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134 | yValues.Add(valueCount);
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135 | if (missingState) //handle last missing
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136 | {
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137 | yValues.Add(0);
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138 | }
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139 | columnsYValues.Add(yValues);
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140 | }
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141 | return columnsYValues;
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142 | }
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143 | #endregion
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144 | }
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145 | }
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