public static void Main(string[] args)
{
Storage();
// generate data for plotting
const double sineFactor = 0.012585;
const int exampleCount = 1000;
var phaseOffset = 125;
var x0 = new double[exampleCount];
var y0 = new double[exampleCount];
for (var j = 0; j < exampleCount; j++)
{
x0[j] = j;
y0[j] = (double)(System.Math.Sin(sineFactor * (j + phaseOffset)) * 1);
}
var x1 = new double[exampleCount];
var y1 = new double[exampleCount];
phaseOffset = 250;
for (var j = 0; j < exampleCount; j++)
{
x1[j] = j;
y1[j] = (double)(System.Math.Sin(sineFactor * (j + phaseOffset)) * 1);
}
var x2 = new double[exampleCount];
var y2 = new double[exampleCount];
phaseOffset = 375;
for (var j = 0; j < exampleCount; j++)
{
x2[j] = j;
y2[j] = (double)(System.Math.Sin(sineFactor * (j + phaseOffset)) * 1);
}
var x3 = new double[exampleCount];
var y3 = new double[exampleCount];
phaseOffset = 500;
for (var j = 0; j < exampleCount; j++)
{
x3[j] = j;
y3[j] = (double)(System.Math.Sin(sineFactor * (j + phaseOffset)) * 1);
}
// create PLplot object
var pl = new PLStream();
// use SVG backend and write to SineWaves.svg in current directory
if (args.Length == 1 && args[0] == "svg")
{
pl.sdev("svg");
pl.sfnam("SineWaves.svg");
}
else
{
pl.sdev("pngcairo");
pl.sfnam("SineWaves.png");
}
// use white background with black foreground
pl.spal0("cmap0_alternate.pal");
// Initialize plplot
pl.init();
// set axis limits
const int xMin = 0;
const int xMax = 1000;
const int yMin = -1;
const int yMax = 1;
pl.env(xMin, xMax, yMin, yMax, AxesScale.Independent, AxisBox.BoxTicksLabelsAxes);
// Set scaling for mail title text 125% size of default
pl.schr(0, 1.25);
// The main title
pl.lab("X", "Y", "PLplot demo of four sine waves");
// plot using different colors
// see http://plplot.sourceforge.net/examples.php?demo=02 for palette indices
pl.col0(9);
pl.line(x0, y0);
pl.col0(1);
pl.line(x1, y1);
pl.col0(2);
pl.line(x2, y2);
pl.col0(4);
pl.line(x3, y3);
// end page (writes output to disk)
pl.eop();
// output version
pl.gver(out var verText);
Console.WriteLine("PLplot version " + verText);
////////histogram/////////////////////
double[] y00 = { 5.0, 15.0, 12.0, 24.0, 28.0, 30.0, 20.0, 8.0, 12.0, 3.0 };
double[] pos = { 0.0, 0.25, 0.5, 0.75, 1.0 };
double[] red = { 0.0, 0.25, 0.5, 1.0, 1.0 };
double[] green = { 1.0, 0.5, 0.5, 0.5, 1.0 };
double[] blue = { 1.0, 1.0, 0.5, 0.25, 0.0 };
PLStream pls = new PLStream();
pls.sdev("pngcairo");
pls.sfnam("Histogram.png");
pls.spal0("cmap0_alternate.pal");
pls.init();
pls.adv(0);
pls.vsta();
pls.wind(1980.0, 1990.0, 0.0, 35.0);
pls.box("bc", 1.0, 0, "bcnv", 10.0, 0);
pls.col0(2);
pls.lab("Year", "Widget Sales (millions)", "#frPLplot Example 12");
for (int i = 0; i < 10; i++)
{
// pls.col0(i + 1);
pls.col1(i / 9.0);
pls.psty(0);
double[] x = new double[4];
double[] y = new double[4];
x[0] = 1980.0 + i;
y[0] = 0.0;
x[1] = 1980.0 + i;
y[1] = y00[i];
x[2] = 1980.0 + i + 1.0;
y[2] = y00[i];
x[3] = 1980.0 + i + 1.0;
y[3] = 0.0;
pls.fill(x, y);
pls.col0(1);
pls.lsty(LineStyle.Continuous);
pls.line(x, y);
// sprintf(string, "%.0f", y0[i]);
String text = ((int)(y00[i] + 0.5)).ToString();
pls.ptex((1980.0 + i + .5), (y00[i] + 1.0), 1.0, 0.0, .5, text);
// sprintf(string, "%d", 1980 + i);
String text1 = (1980 + i).ToString();
pls.mtex("b", 1.0, ((i + 1) * .1 - .05), 0.5, text1);
}
pls.eop();
Console.ReadLine();
}
public string generateNNGraph(string matrixRef, int NumberInputsNodes, int NumberHiddenNodes, int NumberOutputNodes,
int NumberOfEpochs, double LearningRate_eta, string title, int oneCol, string oneLab, int twoCol, string twoLab, string fileName)
{
var matrixComp = Value(matrixRef);
if (matrixComp.GetType() == typeof(string))
{
return("Could not find variable " + matrixRef);
}
MatrixData _graphData = (MatrixData)matrixComp;
double[] x = _graphData.GetColumnCopy <double>(0);
double[] y = _graphData.GetColumnCopy <double>(1);
double[] y1 = _graphData.GetColumnCopy <double>(2);
double xMax = _graphData.Max(0);
var plot = new PLStream();
plot.width(1);
plot.sdev("svg");
plot.sfnam(fileName + ".svg");
plot.scolbg(255, 255, 255);
plot.init();
plot.env(0, xMax, 0, 105, AxesScale.Independent, AxisBox.BoxTicksLabelsAxes);
Dictionary <int, string> cols = new Dictionary <int, string>();
cols.Add(0, "black");
cols.Add(1, "red");
cols.Add(2, "yellow");
cols.Add(3, "green");
cols.Add(4, "aquamarine");
cols.Add(5, "pink");
cols.Add(6, "wheat");
cols.Add(7, "grey");
cols.Add(8, "brown");
cols.Add(9, "blue");
cols.Add(10, "BlueViolet");
cols.Add(11, "cyan");
cols.Add(12, "turquoise");
cols.Add(13, "magenta");
cols.Add(14, "salmon");
cols.Add(15, "white");
plot.col0(1);
plot.lab("Epoch", "Accuracy %", title);
plot.ptex(xMax - 10, 25, 1.0, 0, 1, "Input Nodes: " + NumberInputsNodes);
plot.ptex(xMax - 10, 20, 1.0, 0, 1, "Hidden Nodes: " + NumberHiddenNodes);
plot.ptex(xMax - 10, 15, 1.0, 0, 1, "Output Nodes: " + NumberOutputNodes);
plot.ptex(xMax - 10, 10, 1.0, 0, 1, "Epochs: " + NumberOfEpochs);
plot.ptex(xMax - 10, 5, 1.0, 0, 1, "Learning Rate: " + LearningRate_eta);
plot.col0(1);
plot.col0(oneCol);
plot.line(x, y);
plot.ptex(xMax - 10, 35, 1.0, 0, 1, cols[oneCol] + ": " + oneLab);
plot.col0(oneCol);
plot.col0(twoCol);
plot.line(x, y1);
plot.ptex(xMax - 10, 30, 1.0, 0, 1, cols[twoCol] + ": " + twoLab);
plot.col0(twoCol);
plot.eop();
return(Directory.GetCurrentDirectory() + "\\" + fileName + ".svg");
}
public string GenerateGraph()
{
double[] x = _graphData.GetColumnCopy <double>(0);
double[] y = _graphData.GetColumnCopy <double>(1);
double[] y1 = _graphData.GetColumnCopy <double>(2);
double xMax = _graphData.Max(0);
//double yMax = _graphData.Max(1);
//yMax = (_graphData.Max(2) > yMax)? _graphData.Max(2) : yMax;
//double yMin = _graphData.Min(1);
//yMin = (_graphData.Min(2) < yMin)? _graphData.Min(2): yMin;
var plot = new PLStream();
plot.width(1);
plot.sdev("svg");
plot.sfnam("Test.svg");
plot.scolbg(255, 255, 255);
plot.init();
plot.env(0, xMax, 0, 105, AxesScale.Independent, AxisBox.BoxTicksLabelsAxes);
//####### PLPlot colour guide:
//0 black (default background)
//1 red (default foreground)
//2 yellow
//3 green
//4 aquamarine
//5 pink
//6 wheat
//7 grey
//8 brown
//9 blue
//10 BlueViolet
//11 cyan
//12 turquoise
//13 magenta
//14 salmon
//15 white
plot.col0(1);
if (!(_testingData == null))
{
plot.lab("Epoch", "Accuracy %", "Test vs Train Accuracy");
}
else
{
plot.lab("Epoch", "Accuracy %", "Test vs Val Accuracy");
}
plot.ptex(xMax - 10, 25, 1.0, 0, 1, "Input Nodes: " + NumberInputsNodes);
plot.ptex(xMax - 10, 20, 1.0, 0, 1, "Hidden Nodes: " + NumberHiddenNodes);
plot.ptex(xMax - 10, 15, 1.0, 0, 1, "Output Nodes: " + NumberOutputNodes);
plot.ptex(xMax - 10, 10, 1.0, 0, 1, "Epochs: " + NumberOfEpochs);
plot.ptex(xMax - 10, 5, 1.0, 0, 1, "Learning Rate: " + LearningRate_eta);
plot.col0(1);
plot.col0(9);
plot.line(x, y);
plot.ptex(xMax - 10, 35, 1.0, 0, 1, "Blue: Train");
plot.col0(9);
plot.col0(3);
plot.line(x, y1);
if (!(_testingData == null))
{
plot.ptex(xMax - 10, 30, 1.0, 0, 1, "Green: Test");
}
else
{
plot.ptex(xMax - 10, 30, 1.0, 0, 1, "Green: Val");
}
plot.col0(3);
plot.eop();
return("Saved \"Test.svg\"");
}