private void ReOrderToIndices <T>(int columnIndex, int[] indices)
{
var originalData = new List <T>(PreprocessingData.GetValues <T>(columnIndex));
if (indices.Length != originalData.Count)
{
throw new InvalidOperationException("The number of provided indices does not match the values.");
}
for (int i = 0; i < indices.Length; i++)
{
T newValue = originalData[indices[i]];
PreprocessingData.SetCell <T>(columnIndex, i, newValue);
}
}
public ScatterPlot CreateScatterPlot(string variableNameX, string variableNameY, string variableNameColor = "-")
{
ScatterPlot scatterPlot = new ScatterPlot();
IList <double> xValues = PreprocessingData.GetValues <double>(PreprocessingData.GetColumnIndex(variableNameX));
IList <double> yValues = PreprocessingData.GetValues <double>(PreprocessingData.GetColumnIndex(variableNameY));
if (variableNameColor == null || variableNameColor == "-")
{
List <Point2D <double> > points = new List <Point2D <double> >();
for (int i = 0; i < xValues.Count; i++)
{
Point2D <double> point = new Point2D <double>(xValues[i], yValues[i]);
points.Add(point);
}
ScatterPlotDataRow scdr = new ScatterPlotDataRow(variableNameX + " - " + variableNameY, "", points);
scatterPlot.Rows.Add(scdr);
}
else
{
var colorValues = PreprocessingData.GetValues <double>(PreprocessingData.GetColumnIndex(variableNameColor));
var data = xValues.Zip(yValues, (x, y) => new { x, y }).Zip(colorValues, (v, c) => new { v.x, v.y, c }).ToList();
var gradients = ColorGradient.Colors;
int curGradient = 0;
int numColors = colorValues.Distinct().Count();
foreach (var colorValue in colorValues.Distinct())
{
var values = data.Where(x => x.c == colorValue);
var row = new ScatterPlotDataRow(
variableNameX + " - " + variableNameY + " (" + colorValue + ")",
"",
values.Select(v => new Point2D <double>(v.x, v.y)),
new ScatterPlotDataRowVisualProperties()
{
Color = gradients[curGradient]
});
curGradient += gradients.Count / numColors;
scatterPlot.Rows.Add(row);
}
}
return(scatterPlot);
}
public IEnumerable <string> GetVariableNamesForHistogramClassification()
{
List <string> doubleVariableNames = new List <string>();
//only return variable names from type double
for (int i = 0; i < PreprocessingData.Columns; ++i)
{
if (PreprocessingData.VariableHasType <double>(i))
{
double distinctValueCount = PreprocessingData.GetValues <double>(i).GroupBy(x => x).Count();
bool distinctValuesOk = distinctValueCount <= MAX_DISTINCT_VALUES_FOR_CLASSIFCATION;
if (distinctValuesOk)
{
doubleVariableNames.Add(PreprocessingData.GetVariableName(i));
}
}
}
return(doubleVariableNames);
}
public ScatterPlot CreateScatterPlot(string variableNameX, string variableNameY)
{
ScatterPlot scatterPlot = new ScatterPlot();
IList <double> xValues = PreprocessingData.GetValues <double>(PreprocessingData.GetColumnIndex(variableNameX));
IList <double> yValues = PreprocessingData.GetValues <double>(PreprocessingData.GetColumnIndex(variableNameY));
List <Point2D <double> > points = new List <Point2D <double> >();
for (int i = 0; i < xValues.Count; i++)
{
Point2D <double> point = new Point2D <double>(xValues[i], yValues[i]);
points.Add(point);
}
ScatterPlotDataRow scdr = new ScatterPlotDataRow(variableNameX + " - " + variableNameY, "", points);
scatterPlot.Rows.Add(scdr);
return(scatterPlot);
}
