/// <summary>
/// Creates the Scatterplots in a subroutine, one per frame.
/// This was done to keep the programm from freezen when creating
/// the Scatterplots.
/// </summary>
/// <param name="scatterplotPrefab"></param>
/// <param name="dataSource"></param>
/// <param name="dimCombinations"></param>
/// <param name="matrixWidth"></param>
/// <returns></returns>
IEnumerator CreateScatterplotsCoroutine(GameObject scatterplotPrefab, CSVDataSource dataSource, int[,] dimCombinations, int matrixWidth)
{
for (int i = 0; dimCombinations.GetLength(0) > i; i++)
{
//Debug.Log("creations scatterplot" + i);
int matrixPosX = i % matrixWidth * 2;
int matrixPosZ = i / matrixWidth * 2;
int xDim = dimCombinations[i, 0];
int yDim = dimCombinations[i, 1];
int zDim = dimCombinations[i, 2];
Transform tempTransform = transform;
tempTransform.position += new Vector3(0f, 0.02f, 0f);
Scatterplot scatterplot = Instantiate(scatterplotPrefab, tempTransform).GetComponent <Scatterplot>();
scatterplot.Initialize(dataSource, matrixPosX, matrixPosZ, pointSize, xDim, yDim, zDim, bigScatterplot);
scatterplots[i] = scatterplot;
if (bigScatterplot)
{
scatterplot.transform.localScale += Vector3.one;
}
else
{
scatterplot.transform.localScale -= Vector3.one / 2;
}
yield return(null);
}
}
private static ScatterplotBox show(Scatterplot scatterplot)
{
ScatterplotBox form = null;
Thread formThread = null;
AutoResetEvent stopWaitHandle = new AutoResetEvent(false);
formThread = new Thread(() =>
{
Application.EnableVisualStyles();
Application.SetCompatibleTextRenderingDefault(false);
// Show control in a form
form = new ScatterplotBox();
form.Text = scatterplot.Title;
form.formThread = formThread;
form.scatterplotView1.Scatterplot = scatterplot;
stopWaitHandle.Set();
Application.Run(form);
});
formThread.SetApartmentState(ApartmentState.STA);
formThread.Start();
stopWaitHandle.WaitOne();
return(form);
}
public void PlotTrainingAndValidationCurves(
IEnumerable <double> errors,
IEnumerable <double> validationErrors,
int epochCount)
{
IEnumerable <double> tmp = Enumerable
.Range(1, epochCount)
.Select(v => (double)v)
.ToList();
double[] x = tmp.Concat(tmp).ToArray();
double[] y = errors.Concat(validationErrors).ToArray();
int[] z = Enumerable
.Repeat(1, epochCount)
.Concat(Enumerable.Repeat(2, epochCount))
.ToArray();
Scatterplot plot = new Scatterplot(
TrainingAndValidationPlotResources.Title,
TrainingAndValidationPlotResources.XAxisTitle,
TrainingAndValidationPlotResources.YAxisTitle);
plot.Compute(x, y, z);
ScatterplotBox.Show(plot);
}
private static ScatterplotBox show(String title, Func <double, double> function, double?min, double?max, double?step)
{
if (min == null || max == null)
{
DoubleRange range;
if (GetRange(function, out range))
{
min = range.Min;
max = range.Max;
}
else
{
min = 0;
max = 1;
}
}
if (step == null)
{
step = (max - min) / 1000;
}
double[] input = Matrix.Interval(min.Value, max.Value, step.Value);
double[] output = Matrix.Apply(input, function);
Scatterplot scatterplot = new Scatterplot(title ?? "Scatter plot");
scatterplot.Compute(input, output);
return(show(scatterplot));
}
private static ScatterplotBox show(Scatterplot scatterplot)
{
ScatterplotBox form = null;
Thread formThread = null;
AutoResetEvent stopWaitHandle = new AutoResetEvent(false);
formThread = new Thread(() =>
{
Accord.Controls.Tools.ConfigureWindowsFormsApplication();
// Show control in a form
form = new ScatterplotBox();
form.Text = scatterplot.Title;
form.formThread = formThread;
form.scatterplotView1.Scatterplot = scatterplot;
stopWaitHandle.Set();
Application.Run(form);
});
formThread.SetApartmentState(ApartmentState.STA);
formThread.Start();
stopWaitHandle.WaitOne();
return(form);
}
/// <summary>
/// Constructs a new instance of the ScatterplotView.
/// </summary>
///
public DataChartView(Scatterplot scatterplot)
{
InitializeComponent();
series = new CurveList();
seriesDataMember = new Collection <DataChartViewSeries>();
zedGraphControl.BorderStyle = System.Windows.Forms.BorderStyle.None;
zedGraphControl.GraphPane.Border.IsVisible = false;
zedGraphControl.GraphPane.Border.Color = Color.White;
zedGraphControl.GraphPane.Border.Width = 0;
// zedGraphControl.IsAntiAlias = true;
zedGraphControl.GraphPane.Fill = new Fill(Color.White);
zedGraphControl.GraphPane.Chart.Fill = new Fill(Color.GhostWhite);
zedGraphControl.GraphPane.CurveList = series;
zedGraphControl.GraphPane.Legend.IsVisible = true;
zedGraphControl.GraphPane.Legend.Position = LegendPos.Right;
zedGraphControl.GraphPane.Legend.IsShowLegendSymbols = false;
zedGraphControl.GraphPane.XAxis.MajorGrid.IsVisible = true;
zedGraphControl.GraphPane.XAxis.MinorGrid.IsVisible = false;
zedGraphControl.GraphPane.XAxis.MajorGrid.Color = Color.LightGray;
zedGraphControl.GraphPane.XAxis.MajorGrid.IsZeroLine = false;
zedGraphControl.GraphPane.XAxis.Scale.MaxGrace = 0;
zedGraphControl.GraphPane.XAxis.Scale.MinGrace = 0;
zedGraphControl.GraphPane.YAxis.MinorGrid.IsVisible = false;
zedGraphControl.GraphPane.YAxis.MajorGrid.IsVisible = true;
zedGraphControl.GraphPane.YAxis.MajorGrid.Color = Color.LightGray;
zedGraphControl.GraphPane.YAxis.MajorGrid.IsZeroLine = false;
zedGraphControl.GraphPane.YAxis.Scale.MaxGrace = 0;
zedGraphControl.GraphPane.YAxis.Scale.MinGrace = 0;
}
public ScatterPlotForm(Scatterplot p)
{
InitializeComponent();
this.plot = p;
scatterplotView1.Scatterplot = this.plot;
}
/// <summary>
/// The main application entry point.
/// </summary>
/// <param name="args">Command line arguments.</param>
public static void Main(string[] args)
{
// get data
Console.WriteLine("Loading data....");
var path = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "..");
path = Path.Combine(path, "..");
path = Path.Combine(path, "california_housing.csv");
var housing = Frame.ReadCsv(path, separators: ",");
// housing = housing.Where(kv => ((decimal)kv.Value["median_house_value"]) < 500000);
// set up a few series
var total_rooms = housing["total_rooms"];
var median_house_value = housing["median_house_value"];
var median_income = housing["median_income"];
// convert the house value range to thousands
median_house_value /= 1000;
// set up feature and label
var feature = total_rooms.Values.ToArray();
// var feature = median_income.Values.ToArray();
var labels = median_house_value.Values.ToArray();
// train the model
Console.WriteLine("Training model....");
var learner = new OrdinaryLeastSquares();
var model = learner.Learn(feature, labels);
// show results
Console.WriteLine($"Slope: {model.Slope}");
Console.WriteLine($"Intercept: {model.Intercept}");
// validate the model
var predictions = model.Transform(feature);
var rmse = Math.Sqrt(new SquareLoss(labels).Loss(predictions));
var range = Math.Abs(labels.Max() - labels.Min());
Console.WriteLine($"Label range: {range}");
Console.WriteLine($"RMSE: {rmse} {rmse / range * 100:0.00}%");
// generate plot arrays
var x = feature.Concat(feature).ToArray();
var y = predictions.Concat(labels).ToArray();
// set up color array
var colors1 = Enumerable.Repeat(1, labels.Length).ToArray();
var colors2 = Enumerable.Repeat(2, labels.Length).ToArray();
var c = colors1.Concat(colors2).ToArray();
// plot the data
var plot = new Scatterplot("Training", "feature", "label");
plot.Compute(x, y, c);
ScatterplotBox.Show(plot);
Console.ReadLine();
}
/// <summary>
/// Displays a scatter plot with the specified data.
/// </summary>
///
/// <param name="title">The title for the plot window.</param>
/// <param name="x">A two column matrix containing the (x,y) data pairs as rows.</param>
///
public static ScatterplotBox Show(string title, double[,] x)
{
Scatterplot scatterplot = new Scatterplot(title);
scatterplot.Compute(x);
return(show(scatterplot));
}
/// <summary>
/// Displays a scatter plot with the specified data.
/// </summary>
///
/// <param name="title">The title for the plot window.</param>
/// <param name="x">A two column matrix containing the (x,y) data pairs as rows.</param>
/// <param name="z">The corresponding labels for the (x,y) pairs.</param>
///
public static ScatterplotBox Show(string title, double[][] x, int[] z)
{
Scatterplot scatterplot = new Scatterplot(title);
scatterplot.Compute(x, z);
return(show(scatterplot));
}
/// <summary>
/// Displays a scatter plot with the specified data.
/// </summary>
///
/// <param name="title">The title for the plot window.</param>
/// <param name="x">A two column matrix containing the (x,y) data pairs as rows.</param>
/// <param name="z">The corresponding labels for the (x,y) pairs.</param>
/// <param name="nonBlocking">If set to <c>true</c>, the caller will continue
/// executing while the form is shown on screen. If set to <c>false</c>,
/// the caller will be blocked until the user closes the form. Default
/// is <c>false</c>.</param>
///
public static ScatterplotBox Show(string title, double[][] x, int[] z = null, bool nonBlocking = false)
{
Scatterplot scatterplot = new Scatterplot(title);
scatterplot.Compute(x, z);
return(show(scatterplot, nonBlocking));
}
private void cmdBenchmark_Click(object sender, EventArgs e)
{
UpdateStatus("EVALUATING", DisplayPart.Status);
Task.Run(() =>
{
EvaluationResult result = _analyzer.Evaluate();
_scatterplot = result.Roc.GetScatterplot(true);
UpdateStatus(result.GetDescription(), DisplayPart.Statistics);
UpdateStatus("EVALUATED", DisplayPart.Status);
});
}
/// <summary>
/// Initializes the DataPoint.
/// Should always be called after creating this component.
/// </summary>
/// <param name="index"></param>
/// <param name="pointSize"></param>
/// <param name="position"></param>
public void Initialize(int index, float pointSize, Vector3 position)
{
this.index = index;
this.pointSize = pointSize;
transform.position = position;
scatterplot = transform.parent.GetComponent <Scatterplot>();
attributes = transform.Find("Attributes").gameObject;
initTextMeshes();
ShowText(false);
}
/// <summary>
/// Plot the given scatterplot on screen.
/// </summary>
/// <param name="plot">The scatterplot to plot</param>
private static void Plot(Scatterplot plot)
{
var box = ScatterplotBox.Show(plot);
var callback = new Action(() =>
{
box.SetLinesVisible(true);
box.SetSymbolSize(0);
box.SetScaleTight(true);
});
System.Threading.Thread.Sleep(100);
box.Invoke(callback);
}
/// <summary>
/// Constructs a new instance of the ScatterplotView.
/// </summary>
public ScatterplotView()
{
InitializeComponent();
scatterplot = new Scatterplot();
classes = new CurveList();
zedGraphControl.GraphPane.Title.Text = "Scatter Plot";
zedGraphControl.GraphPane.XAxis.Title.Text = "X";
zedGraphControl.GraphPane.YAxis.Title.Text = "Y";
zedGraphControl.GraphPane.Fill = new Fill(Color.WhiteSmoke);
zedGraphControl.GraphPane.CurveList = classes;
}
/// <summary>
/// Plot the training errors.
/// </summary>
/// <param name="trainingErrors">The traininer errors to plot</param>
/// <param name="title">The chart title</param>
/// <param name="xAxisLabel">The chart x-ais label</param>
/// <param name="yAxisLabel">The chart y-axis label</param>
private static void Plot(
List <double> trainingErrors,
string title,
string xAxisLabel,
string yAxisLabel)
{
var epochs = trainingErrors.Count();
var x = Enumerable.Range(0, epochs).Select(v => (double)v).ToArray();
var y = trainingErrors.ToArray();
var plot = new Scatterplot(title, xAxisLabel, yAxisLabel);
plot.Compute(x, y);
ScatterplotBox.Show(plot);
}
public void ComputeTest2()
{
ScatterplotView target = new ScatterplotView();
Scatterplot histogram = new Scatterplot();
histogram.Compute(new double[] { 200.0, 200.0, 200.0 });
target.DataSource = null;
target.DataSource = histogram;
target.DataSource = null;
// ScatterplotBox.Show(histogram);
}
/// <summary>
/// Plot a histogram.
/// </summary>
/// <param name="histogram">The histogram to plot</param>
/// <param name="title">The plot title</param>
/// <param name="xAxisLabel">The x-axis label</param>
/// <param name="yAxisLabel">The y-axis label</param>
private static void Plot(Histogram histogram, string title, string xAxisLabel, string yAxisLabel)
{
var x = new List <double>();
var y = new List <double>();
for (int i = 0; i < histogram.Values.Length; i++)
{
var xcor = histogram.Bins[i].Range.Min;
x.AddRange(from n in Enumerable.Range(0, histogram.Values[i]) select xcor);
y.AddRange(from n in Enumerable.Range(0, histogram.Values[i]) select n * 1.0);
}
var plot = new Scatterplot(title, xAxisLabel, yAxisLabel);
plot.Compute(x.ToArray(), y.ToArray());
ScatterplotBox.Show(plot);
}
private void featuresListBox_SelectedIndexChanged(object sender, EventArgs e)
{
if (!isDataLoaded)
{
Utilities.InfoMessageBox("Please load data or wait until data is loaded first.");
return;
}
var selectedFeature = featuresListBox.SelectedItem as string;
var featureIndex = dataSet.dataFull.Columns.IndexOf(selectedFeature);
Scatterplot plot = new Scatterplot(selectedFeature);
plot.Compute(dataSet.X_Test.GetColumn(featureIndex), dataSet.Y_Test.Select(x => (double)x).ToArray <double>());
scatterplotView.Scatterplot = plot;
}
/// <summary>
/// Plot a graph on screen.
/// </summary>
/// <param name="xSeries">The x-series to plot</param>
/// <param name="ySeries">The y-series to plot</param>
/// <param name="title">The plot title</param>
/// <param name="xAxisLabel">The x-axis label</param>
/// <param name="yAxisLabel">The y-axis label</param>
public static void Plot(
Series <int, double> xSeries,
Series <int, double> ySeries,
string title,
string xAxisLabel,
string yAxisLabel)
{
// generate plot arrays
var x = xSeries.Values.ToArray();
var y = ySeries.Values.ToArray();
// plot the graph
var plot = new Scatterplot(title, xAxisLabel, yAxisLabel);
plot.Compute(x, y);
ScatterplotBox.Show(plot);
}
private void PrintRandomDigit(Frame <int, string> training)
{
Console.WriteLine(@"Вывод случайного тренировочного образца...");
Random rnd = new Random();
int row = rnd.Next(1, training.RowCount);
string randomDigit = training.Rows[row]["Column1"].ToString();
double[] x = Enumerable.Range(0, 784).Select(v => (double)(v % 28)).ToArray();
double[] y = Enumerable.Range(0, 784).Select(v => (double)(-v / 28)).ToArray();
int[] z = Enumerable.Range(2, 784)
.Select(i => new { i, v = training.Rows[row][$"Column{i}"] as double? })
.Select(t => t.v > 0.5 ? 1 : 0).ToArray();
Scatterplot plot = new Scatterplot($"Цифра {randomDigit}", "x", "y");
plot.Compute(x, y, z);
ScatterplotBox.Show(plot);
}
public void PlotTrainingCurve(IEnumerable <double> errors, int epochCount)
{
double[] x = Enumerable
.Range(1, epochCount)
.Select(v => (double)v)
.ToArray();
double[] y = errors.ToArray();
Scatterplot plot = new Scatterplot(
TrainingPlotResources.Title,
TrainingPlotResources.YAxisTitle,
TrainingPlotResources.XAxisTitle);
plot.Compute(x, y);
ScatterplotBox.Show(plot);
}
public void PlotValidationCurve(IEnumerable <double> errors, int epochCount)
{
double[] x = Enumerable
.Range(1, epochCount)
.Select(v => (double)v)
.ToArray();
double[] y = errors.ToArray();
Scatterplot plot = new Scatterplot(
"График изменения квадратичной ошибки тестирования",
TrainingPlotResources.YAxisTitle,
"Ошибки тестирования");
plot.Compute(x, y);
ScatterplotBox.Show(plot);
}
/// <summary>
/// Creates the Scatterplots in a subroutine, one per frame.
/// This was done to keep the programm from freezen when creating
/// the Scatterplots.
/// </summary>
/// <param name="scatterplotPrefab"></param>
/// <param name="dataSource"></param>
/// <param name="dimCombinations"></param>
/// <param name="matrixWidth"></param>
/// <returns></returns>
IEnumerator CreateScatterplotsCoroutine(GameObject scatterplotPrefab, CSVDataSource dataSource, int[,] dimCombinations, int matrixWidth)
{
for (int i = 0; dimCombinations.GetLength(0) > i; ++i)
{
int matrixPosX = i % matrixWidth * 2;
int matrixPosZ = i / matrixWidth * 2;
int xDim = dimCombinations[i, 0];
int yDim = dimCombinations[i, 1];
int zDim = dimCombinations[i, 2];
Scatterplot scatterplot = Instantiate(scatterplotPrefab, transform).GetComponent <Scatterplot>();
scatterplot.Initialize(dataSource, matrixPosX, matrixPosZ, pointSize, xDim, yDim, zDim);
scatterplots[i] = scatterplot;
scatterplot.transform.localScale += Vector3.one;
yield return(null);
}
}
/// <summary>
/// Constructs a new instance of the ScatterplotView.
/// </summary>
///
public ScatterplotView(Scatterplot scatterplot)
{
InitializeComponent();
classes = new CurveList();
zedGraphControl.BorderStyle = System.Windows.Forms.BorderStyle.None;
zedGraphControl.GraphPane.Border.IsVisible = false;
zedGraphControl.GraphPane.Border.Color = Color.White;
zedGraphControl.GraphPane.Border.Width = 0;
// zedGraphControl.IsAntiAlias = true;
zedGraphControl.GraphPane.Fill = new Fill(Color.White);
zedGraphControl.GraphPane.Chart.Fill = new Fill(Color.GhostWhite);
zedGraphControl.GraphPane.CurveList = classes;
zedGraphControl.GraphPane.Legend.IsVisible = true;
zedGraphControl.GraphPane.Legend.Position = LegendPos.Right;
zedGraphControl.GraphPane.Legend.IsShowLegendSymbols = false;
zedGraphControl.GraphPane.XAxis.MajorGrid.IsVisible = true;
zedGraphControl.GraphPane.XAxis.MinorGrid.IsVisible = false;
zedGraphControl.GraphPane.XAxis.MajorGrid.Color = Color.LightGray;
zedGraphControl.GraphPane.XAxis.MajorGrid.IsZeroLine = false;
zedGraphControl.GraphPane.XAxis.Scale.MaxGrace = 0;
zedGraphControl.GraphPane.XAxis.Scale.MinGrace = 0;
zedGraphControl.GraphPane.YAxis.MinorGrid.IsVisible = false;
zedGraphControl.GraphPane.YAxis.MajorGrid.IsVisible = true;
zedGraphControl.GraphPane.YAxis.MajorGrid.Color = Color.LightGray;
zedGraphControl.GraphPane.YAxis.MajorGrid.IsZeroLine = false;
zedGraphControl.GraphPane.YAxis.Scale.MaxGrace = 0;
zedGraphControl.GraphPane.YAxis.Scale.MinGrace = 0;
ScaleTight = false;
SymbolSize = 7;
LinesVisible = false;
this.scatterplot = scatterplot;
}
/// <summary>
/// Generates a <see cref="Scatterplot"/> representing the ROC curve.
/// </summary>
///
/// <param name="includeRandom">
/// True to include a plot of the random curve (a diagonal line
/// going from lower left to upper right); false otherwise.</param>
///
public Scatterplot GetScatterplot(bool includeRandom = false)
{
Scatterplot plot = new Scatterplot("Area under the ROC curve");
plot.XAxisTitle = "1 - Specificity";
plot.YAxisTitle = "Sensitivity";
double[] x = Points.GetOneMinusSpecificity();
double[] y = Points.GetSensitivity();
if (includeRandom)
{
int points = x.Length;
double[] newx = new double[points + 2];
double[] newy = new double[points + 2];
int[] labels = new int[points + 2];
Array.Copy(x, newx, x.Length);
Array.Copy(y, newy, y.Length);
newx[points + 0] = 0;
newy[points + 0] = 0;
labels[points + 0] = 1;
newx[points + 1] = 1;
newy[points + 1] = 1;
labels[points + 1] = 1;
plot.Compute(newx, newy, labels);
plot.Classes[0].Text = "Curve";
plot.Classes[1].Text = "Random";
}
else
{
plot.Compute(x, y);
}
return(plot);
}
/// <summary>
/// Plot a graph on screen.
/// </summary>
/// <param name="feature">The features to plot</param>
/// <param name="labels">The labels to plot</param>
/// <param name="predictions">The predictions to plot</param>
/// <param name="title">The plot title</param>
/// <param name="xAxisLabel">The x-axis label</param>
/// <param name="yAxisLabel">The y-axis label</param>
public static void Plot(
double[] feature,
double[] labels,
double[] predictions,
string title,
string xAxisLabel,
string yAxisLabel)
{
// generate plot arrays
var x = feature.Concat(feature).ToArray();
var y = predictions.Concat(labels).ToArray();
// set up color arrays
var colors1 = Enumerable.Repeat(1, labels.Length).ToArray();
var colors2 = Enumerable.Repeat(2, labels.Length).ToArray();
var c = colors1.Concat(colors2).ToArray();
// plot the graph
var plot = new Scatterplot(title, xAxisLabel, yAxisLabel);
plot.Compute(x, y, c);
ScatterplotBox.Show(plot);
}
/// <summary>
/// The main application entry point.
/// </summary>
/// <param name="args">Command line arguments.</param>
public static void Main(string[] args)
{
// get data
Console.WriteLine("Loading data....");
var path = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "..");
path = Path.Combine(path, "..");
path = Path.Combine(path, "california_housing.csv");
var housing = Frame.ReadCsv(path, separators: ",");
housing = housing.Where(kv => ((decimal)kv.Value["median_house_value"]) < 500000);
// convert the house value range to thousands
housing["median_house_value"] /= 1000;
// shuffle row indices
var rnd = new Random();
var indices = Enumerable.Range(0, housing.Rows.KeyCount).OrderBy(v => rnd.NextDouble());
// shuffle the frame using the indices
housing = housing.IndexRowsWith(indices).SortByRowKey();
// create the rooms_per_person feature
//housing.AddColumn("rooms_per_person", housing["total_rooms"] / housing["population"]);
housing.AddColumn("rooms_per_person",
(housing["total_rooms"] / housing["population"]).Select(v => v.Value <= 4.0 ? v.Value : 4.0));
// calculate the correlation matrix
var correlation = Measures.Correlation(housing.ToArray2D <double>());
// show the correlation matrix
Console.WriteLine(housing.ColumnKeys.ToArray().ToString <string>());
Console.WriteLine(correlation.ToString <double>("0.0"));
// calculate binned latitudes
var bins = from b in Enumerable.Range(32, 10) select(Min: b, Max: b + 1);
var binned_latitude =
from l in housing["latitude"].Values
let bin = (from b in bins where l >= b.Min && l < b.Max select b)
select bin.First().Min;
// add one-hot encoding columns
foreach (var i in Enumerable.Range(32, 10))
{
housing.AddColumn($"latitude {i}-{i + 1}",
from l in binned_latitude
select l == i ? 1 : 0);
}
// drop the latitude column
housing.DropColumn("latitude");
// show the data frame on the console
housing.Print();
// calculate rooms_per_person histogram
var histogram = new Histogram();
histogram.Compute(housing["rooms_per_person"].Values.ToArray(), 0.1); // use 1.0 without clipping
// draw the histogram
var x = new List <double>();
var y = new List <double>();
for (int i = 0; i < histogram.Values.Length; i++)
{
var xcor = histogram.Bins[i].Range.Min;
x.AddRange(from n in Enumerable.Range(0, histogram.Values[i]) select xcor);
y.AddRange(from n in Enumerable.Range(0, histogram.Values[i]) select n * 1.0);
}
var plot = new Scatterplot("", "rooms per person", "count");
plot.Compute(x.ToArray(), y.ToArray());
ScatterplotBox.Show(plot);
Console.ReadLine();
}
/// <summary>
/// Displays a scatter plot.
/// </summary>
///
/// <param name="scatterplot">The scatter plot to show.</param>
/// <param name="nonBlocking">If set to <c>true</c>, the caller will continue
/// executing while the form is shown on screen. If set to <c>false</c>,
/// the caller will be blocked until the user closes the form. Default
/// is <c>false</c>.</param>
///
public static ScatterplotBox Show(Scatterplot scatterplot, bool nonBlocking = false)
{
return(show(scatterplot, nonBlocking));
}
private void OnDataBind()
{
if (dataSource == null)
return;
if (scatterplot == null)
scatterplot = new Scatterplot();
double[] x = null;
double[] y = null;
int[] z = null;
if (dataSource is DataTable)
{
DataTable table = dataSource as DataTable;
if (String.IsNullOrEmpty(xAxisDataMember) &&
table.Columns.Contains(xAxisDataMember))
x = table.Columns[xAxisDataMember].ToArray();
if (String.IsNullOrEmpty(yAxisDataMember) &&
table.Columns.Contains(yAxisDataMember))
y = table.Columns[yAxisDataMember].ToArray();
if (String.IsNullOrEmpty(labelDataMember) &&
table.Columns.Contains(labelDataMember))
z = table.Columns[labelDataMember].ToArray().ToInt32();
}
else if (dataSource is double[][])
{
double[][] source = dataSource as double[][];
if (source.Length > 0)
{
if (source[0].Length > 0)
x = source.GetColumn(0);
if (source[0].Length > 1)
y = source.GetColumn(1);
if (source[0].Length > 2)
z = source.GetColumn(2).ToInt32();
}
}
else if (dataSource is double[,])
{
double[,] source = dataSource as double[,];
if (source.Length > 0)
{
int cols = source.GetLength(1);
if (cols > 0)
x = source.GetColumn(0);
if (cols > 1)
y = source.GetColumn(1);
if (cols > 2)
z = source.GetColumn(2).ToInt32();
}
}
else
{
return; // invalid data source
}
if (x != null && y == null)
y = new double[x.Length];
else if (y != null && x == null)
x = new double[y.Length];
this.scatterplot.Compute(x, y, z);
this.UpdateGraph();
}
