source: branches/RemoveBackwardsCompatibility/HeuristicLab.DataPreprocessing.Views/3.4/DataCompletenessView.cs @ 17111

using System;
using System.Windows.Forms;
using HeuristicLab.Analysis;
using HeuristicLab.MainForm;
using HeuristicLab.Core.Views;
using System.Collections.Generic;
using HeuristicLab.DataPreprocessing.Implementations;
using System.Drawing;
using System.Windows.Forms.DataVisualization.Charting;

namespace HeuristicLab.DataPreprocessing.Views {

  [View("Histogram View")]
  [Content(typeof(DataCompletenessChartContent), true)]
  public partial class DataCompletenessView : ItemView
  {

    //list of columns, bool indicates wether the cell is a missing value or not
    private List<List<bool>> matrix = new List<List<bool>>();
    //series colors
    private static Color colorNonMissingVal = Color.CornflowerBlue;
    private static Color colorMissingVal = Color.Orange;

    public new DataCompletenessChartContent Content
    {
      get { return (DataCompletenessChartContent)base.Content; }
      set { base.Content = value; }
    }


    public DataCompletenessView()
    {
      InitializeComponent();
    }

    protected override void OnContentChanged()
    {
      base.OnContentChanged();
      if (Content != null)
      {
        InitData();
      }
    }

    private void InitData()
    {
      IDictionary<int, IList<int>> missingValueIndices = Content.SearchLogic.GetMissingValueIndices();
      for (int i = 0; i < Content.SearchLogic.Columns; i++)
      {
        //append column
        List<bool> column = new List<bool>();
        for (int j = 0; j < Content.SearchLogic.Rows; j++) {
          column.Add(missingValueIndices[i].Contains(j));
        }
        matrix.Add(column);
      }
      List<List<int>> yValuesPerColumn = ProcessMatrixForCharting(matrix, missingValueIndices);
      PrepareChart();
      CreateSeries(yValuesPerColumn);
    }

    private void PrepareChart()
    {
      chart.Titles.Add("DataCompletenessChart");
      chart.EnableDoubleClickResetsZoom = true;
      chart.ChartAreas[0].AxisX.MajorGrid.LineWidth = 0;
      chart.ChartAreas[0].AxisY.MajorGrid.LineWidth = 0;
      chart.ChartAreas[0].AxisX.IsMarginVisible = false;
      chart.ChartAreas[0].AxisY.IsMarginVisible = false;
      chart.ChartAreas[0].CursorX.IsUserEnabled = true;
      chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
      chart.ChartAreas[0].CursorY.IsUserEnabled = true;
      chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
      //custom x axis label
      double from = 0.5;
      foreach (String columnName in Content.SearchLogic.VariableNames)
      {
        double to = from + 1;
        chart.ChartAreas[0].AxisX.CustomLabels.Add(from, to, columnName);
        from = to;
      }
      //custom y axis label
      chart.ChartAreas[0].AxisY.IsReversed = true;
    }

    private void CreateSeries(List<List<int>> yValuesPerColumn)
    {
      //prepare series
      int seriesCount = DetermineSeriesCount(yValuesPerColumn);
      for (int i = 0; i < seriesCount; i++)
      {
        chart.Series.Add(CreateSeriesName(i));
        Series series = chart.Series[CreateSeriesName(i)];
        series.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.StackedColumn;
        series.IsVisibleInLegend = false;
        series["PointWidth"] = "1.0";
        if (i % 2 == 0)
        {
          if (i == 0) //show legend for non missing values only once
            series.IsVisibleInLegend = true;
          series.Color = colorNonMissingVal;
        }
        else
        {
          if (i == 1) //show legend for missing values only once
            series.IsVisibleInLegend = true;
          series.Color = colorMissingVal;
        }
      }
      //fill series
      for (int i = 0; i < yValuesPerColumn.Count; i++)
      {
        List<int> column = yValuesPerColumn[i];
        for (int j = 0; j < seriesCount; j++) {
          if (column.Count - 1 < j) {
            chart.Series[CreateSeriesName(j)].Points.AddY(0);
          } else {
            chart.Series[CreateSeriesName(j)].Points.AddY(column[j]);
          }
        }
      }
    }

    private String CreateSeriesName(int index)
    {
      if (index == 0)
        return "non-missing value";
      else if (index == 1)
        return "missing value";
      return "series" + index;
    }

    #region data_preparation_for_chartseries
    private int DetermineSeriesCount(List<List<int>> yValuesPerColumn)
    {
      int highest = 0;
      foreach (List<int> values in yValuesPerColumn) {
        highest = Math.Max(values.Count, highest);
      }
      return highest;
    }

    private List<List<int>> ProcessMatrixForCharting(List<List<bool>> matrix, IDictionary<int, IList<int>> missingValueIndices)
    {
      List<List<int>> columnsYValues = new List<List<int>>();
      for (int i=0; i < matrix.Count; i++) //column
      {
        List<int> yValues = new List<int>();
        List<bool> column = matrix[i];
        bool missingState = false;
        int valueCount = 0;
        for (int j = 0; j < column.Count; j++ ) {
          if (missingState == missingValueIndices[i].Contains(j))
          {
            valueCount++;
          }
          else
          {
            yValues.Add(valueCount);
            valueCount = 1;
            missingState = !missingState;
          }
        }
        yValues.Add(valueCount);
        if (missingState) //handle last missing
        {
          yValues.Add(0);
        }
        //yValues.Reverse();
        columnsYValues.Add(yValues);
      }
      return columnsYValues;
    }
    #endregion
  }
}