#region License Information
/* HeuristicLab
* Copyright (C) 2002-2010 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.Linq;
using System.Windows.Forms;
using System.Windows.Forms.DataVisualization.Charting;
using HeuristicLab.Core.Views;
using HeuristicLab.MainForm;
namespace HeuristicLab.Analysis.FitnessLandscape {
[View("ScatterPlot View")]
[Content(typeof(ScatterPlot), true)]
public partial class ScatterPlotView : NamedItemView {
public new ScatterPlot Content {
get { return (ScatterPlot)base.Content; }
set { base.Content = value; }
}
public ScatterPlotView() {
InitializeComponent();
chart.CustomizeAllChartAreas();
}
protected override void OnContentChanged() {
base.OnContentChanged();
if (Content != null)
UpdateBitmap();
}
protected override void RegisterContentEvents() {
base.RegisterContentEvents();
Content.PixelsChanged += new EventHandler(Content_PixelChanged);
Content.AxisNameChanged += new EventHandler(Content_AxisNameChanged);
}
protected override void DeregisterContentEvents() {
Content.PixelsChanged -= new EventHandler(Content_PixelChanged);
Content.AxisNameChanged += new EventHandler(Content_AxisNameChanged);
base.DeregisterContentEvents();
}
void Content_AxisNameChanged(object sender, EventArgs e) {
if (InvokeRequired) {
Invoke(new EventHandler(Content_AxisNameChanged), sender, e);
} else {
chart.ChartAreas[0].Axes[0].Title = Content.XAxisName;
chart.ChartAreas[0].Axes[1].Title = Content.YAxisName;
}
}
void Content_PixelChanged(object sender, PointsEventArgs e) {
if (InvokeRequired)
Invoke(new EventHandler(Content_PixelChanged), sender, e);
else
AddPixels(e.NewPoints);
}
void Content_AreaChanged(object sender, EventArgs e) {
if (InvokeRequired)
Invoke(new EventHandler(Content_AreaChanged), sender, e);
else
UpdateBitmap();
}
private void AddPixels(IEnumerable points) {
foreach (var p in points)
chart.Series[0].Points.AddXY(p.X, p.Y);
}
private void ConfigureChart() {
chart.ChartAreas[0].Axes[0].Title = Content.XAxisName;
chart.ChartAreas[0].Axes[1].Title = Content.YAxisName;
chart.Titles.Clear();
Title t = chart.Titles.Add(Content.Name);
t.Font = new System.Drawing.Font(t.Font.FontFamily, 10, FontStyle.Bold);
}
private void UpdateBitmap() {
chart.Series.Clear();
var series1 = new Series("Series1") {
ChartArea = "ChartArea1",
ChartType = SeriesChartType.FastPoint,
EmptyPointStyle = {BackGradientStyle = GradientStyle.LeftRight},
MarkerSize = 3,
MarkerStyle = MarkerStyle.Circle,
};
chart.Series.Add(series1);
ConfigureChart();
var points = Content.Points.ToArray();
correlationLabel.Text = alglib.basestat.pearsoncorrelation(points.Select(x => (double)x.X).ToArray(), points.Select(x => (double)x.Y).ToArray(), points.Length).ToString();
foreach (var p in points) {
chart.Series[0].Points.AddXY(p.X, p.Y);
}
}
private void ScatterPlotView_DragEnter(object sender, DragEventArgs e) {
if (e.Data.GetDataPresent("HeuristicLab"))
e.Effect = DragDropEffects.Copy;
else e.Effect = DragDropEffects.None;
}
private void ScatterPlotView_DragDrop(object sender, DragEventArgs e) {
ConfigureChart();
ScatterPlot sp = (ScatterPlot)e.Data.GetData("HeuristicLab");
AddPixels(sp.Points);
}
private void calcPearsonButton_Click(object sender, EventArgs e) {
correlationLabel.Text = alglib.basestat.pearsoncorrelation(chart.Series[0].Points.Select(x => x.XValue).ToArray(), chart.Series[0].Points.Select(x => x.YValues[0]).ToArray(), chart.Series[0].Points.Count).ToString();
}
}
}