#region License Information
/* HeuristicLab
* Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Windows.Forms;
using System.Windows.Forms.DataVisualization.Charting;
using HeuristicLab.Core.Views;
using HeuristicLab.MainForm;
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> matrix = new List>();
//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> missingValueIndices = Content.SearchLogic.GetMissingValueIndices();
for (int i = 0; i < Content.SearchLogic.Columns; i++) {
//append column
List column = new List();
for (int j = 0; j < Content.SearchLogic.Rows; j++) {
column.Add(missingValueIndices[i].Contains(j));
}
matrix.Add(column);
}
List> 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> 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 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> yValuesPerColumn) {
int highest = 0;
foreach (List values in yValuesPerColumn) {
highest = Math.Max(values.Count, highest);
}
return highest;
}
private List> ProcessMatrixForCharting(List> matrix, IDictionary> missingValueIndices) {
List> columnsYValues = new List>();
for (int i = 0; i < matrix.Count; i++) //column
{
List yValues = new List();
List 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
}
}