/// <summary>
/// Chart of sin
/// </summary>
static void ExampleSin()
{
#region create test data
const int N = 100;
var X = new double[N];
var Y = new double[N];
var x = 0.0;
const double h = 2 * Math.PI / N;
for (var i = 0; i < N; i++)
{
var y = Math.Sin(x);
X[i] = x;
Y[i] = y;
x += h;
}
#endregion
#region create plot
// init engine with right paths
var dasPlot = new MatplotlibCS.MatplotlibCS(_pythonExePath, _dasPlotPyPath);
var figure = new Figure(1, 1)
{
FileName = "ExampleSin.png",
OnlySaveImage = true,
Subplots =
{
new Axes(1, "The X axis", "The Y axis")
{
Title = "ExampleSin",
PlotItems =
{
new Line2D("Sin")
{
X = X.ToList(),
Y = Y.ToList()
}
}
}
}
};
dasPlot.BuildFigure(figure);
#endregion
}
public void Draw(List <Axes> plots)
{
// 由于我们在外部启动Python服务，这两个参数传空字符串就可以了
var matplotlibCs = new MatplotlibCS.MatplotlibCS("", "");
var figure = new Figure(1, 1)
{
FileName = $"/mnt/e/Temp/result{DateTime.Now:ddHHmmss}.png",
OnlySaveImage = true,
DPI = 150,
Subplots = plots
};
var t = matplotlibCs.BuildFigure(figure);
t.Wait();
}
private void Plot(NDArray x, NDArray y)
{
var matplotlibCs = new MatplotlibCS.MatplotlibCS("python", @"D:\Projects\MatplotlibCS\MatplotlibCS\Python\matplotlib_cs.py");
var items = new List <PlotItem>();
for (int i = 0; i < x.size; i++)
{
items.Add(new Point2D($"P{i}", x.Data <double>()[i], x.Data <double>()[i])
{
MarkerFaceColor = Color.Black,
MarkerSize = 3
});
}
var figure = new Figure(1, 1)
{
FileName = "regression.png",
OnlySaveImage = true,
DPI = 150,
Subplots =
{
new Axes(1, "X axis", "Y axis")
{
Title = "Regression Test",
Grid = new Grid()
{
XLim = new double[] { 0,1.2 },
YLim = new double[] { -2, 12 }
},
PlotItems = items
}
}
};
var t = matplotlibCs.BuildFigure(figure);
t.Wait();
}
/// <summary>
/// Chart of sin
/// </summary>
public void Run(string pythonExePath, string dasPlotPyPath)
{
#region create test data
const int N = 1000;
var X = new double[N];
var rnd = new Random();
for (var i = 0; i < N; i++)
{
X[i] = (rnd.NextDouble() - 0.5) * 10.0;
}
#endregion
#region create plot
// init engine with right paths
var matplotlibCs = new MatplotlibCS.MatplotlibCS(pythonExePath, dasPlotPyPath);
var figure = new Figure(2, 2)
{
FileName = "ExampleHistogram.png",
OnlySaveImage = true,
DPI = 150,
Subplots =
{
new Axes(1, "The X axis", "The Y axis")
{
Title = "Hist 1",
ShowLegend = false,
PlotItems =
{
new Histogram("Sin")
{
Y = X.ToList(),
}
}
},
new Axes(2, "The X axis", "The Y axis")
{
Title = "Hist 2",
PlotItems =
{
new Histogram("Sin")
{
Y = X.ToList(),
Color = Color.Black,
Alpha = 0.5,
Range = new []{ -1, 1.0 }
}
}
},
new Axes(3, "The X axis", "The Y axis")
{
Title = "Hist 3",
PlotItems =
{
new Histogram("Sin")
{
Y = X.ToList(),
Orientation = HistogramOrientation.Horizontal
}
}
},
new Axes(4, "The X axis", "The Y axis")
{
Title = "Hist 4",
PlotItems =
{
new Histogram("Sin")
{
Y = X.ToList(),
Bins = 10,
Color = Color.Red,
Alpha = 0.5,
Range = new [] { -1, 1.0 },
Normed = true
}
}
},
}
};
var t = matplotlibCs.BuildFigure(figure);
t.Wait();
#endregion
}
/// <summary>
/// Chart of sin
/// </summary>
public void Run(string pythonExePath, string dasPlotPyPath)
{
#region create test data
const int N = 100;
var X = new double[N];
var Y1 = new double[N];
var Y2 = new double[N];
var x = 0.0;
const double h = 2 * Math.PI / N;
var rnd = new Random();
for (var i = 0; i < N; i++)
{
var y = Math.Sin(x);
X[i] = x;
Y1[i] = y;
y = Math.Sin(2 * x);
Y2[i] = y + rnd.NextDouble() / 10.0;
x += h;
}
#endregion
#region create plot
// init engine with right paths
var matplotlibCs = new MatplotlibCS.MatplotlibCS(pythonExePath, dasPlotPyPath);
var figure = new Figure(1, 1)
{
FileName = "ExampleSin.png",
OnlySaveImage = true,
DPI = 150,
Subplots =
{
new Axes(1, "The X axis", "The Y axis")
{
Title = "Sin(x), Sin(2x), VLines, HLines, Annotations",
LegendBorder = false,
Grid = new Grid()
{
MinorAlpha = 0.2,
MajorAlpha = 1.0,
XMajorTicks = new[] { 0.0, 7.6, 0.5, 1.75 },
YMajorTicks = new[] { -1, 2.5, 0.25, 0.125 },
XMinorTicks = new[] { 0.0, 7.25, 0.25, 1.125 },
YMinorTicks = new[] { -1, 2.5, 0.125, 1.025 }
},
PlotItems =
{
new Line2D("Sin")
{
X = X.Cast <object>().ToList(),
Y = Y1.ToList(),
LineStyle = LineStyle.Dashed
},
new Line2D("Sin 2x")
{
X = X.Cast <object>().ToList(),
Y = Y2.ToList(),
LineStyle = LineStyle.Solid,
LineWidth = 0.5f,
Color = "r",
Markevery = 5,
MarkerSize = 10,
Marker = Marker.Circle,
ShowLegend = false
},
new Text("ant1", "Text annotation", 4.5, 0.76)
{
FontSize = 17
},
new Annotation("ant2", "Arrow text annotation", 0.5,-0.7, 3, 0)
{
Color = "#44ff88",
ArrowStyle = ArrowStyle.Both,
LineWidth = 3,
},
new Vline("vert line", new object[]{ 3.0 }, -1, 1),
new Hline("hrzt line", new[]{ 0.1, 0.25, 0.375 }, 0, 5)
{
LineStyle = LineStyle.Dashed,Color = Color.Magenta
}
}
}
}
};
var t = matplotlibCs.BuildFigure(figure);
t.Wait();
#endregion
}
/// <summary>
/// Chart of sin
/// </summary>
public void Run(string pythonExePath, string dasPlotPyPath)
{
#region create test data
const int N = 10;
var X = new double[N];
var Y1 = new double[N];
var Y2 = new double[N];
var x = 0.0;
const double h = 2 * Math.PI / N;
var rnd = new Random();
for (var i = 0; i < N; i++)
{
var y = Math.Sin(x);
X[i] = x;
Y1[i] = y;
y = Math.Sin(2 * x);
Y2[i] = y + rnd.NextDouble() / 10.0;
x += h;
}
#endregion
#region create plot
// init engine with right paths
var matplotlibCs = new MatplotlibCS.MatplotlibCS(pythonExePath, dasPlotPyPath);
var timeTicks = new List <DateTime>();
timeTicks.Add(DateTime.Now);
var xMajorTicks = new List <double>();
xMajorTicks.Add(0);
for (var i = 1; i < N; i++)
{
xMajorTicks.Add(i);
timeTicks.Add(timeTicks[i - 1] + new TimeSpan(0, rnd.Next(1, 10), 0, 0));
}
var figure = new Figure(1, 1)
{
FileName = "ExampleTimeAxis.png",
OnlySaveImage = true,
DPI = 150,
Subplots =
{
new Axes(1, "Time", "Value")
{
Title = "Time Axis Example",
LegendBorder = false,
Grid = new Grid()
{
MinorAlpha = 0.2,
MajorAlpha = 1.0,
XTimeTicks = timeTicks.Cast <object>().ToList(),
TimeTickFormat = TimeTickFormat.HHMMSS,
RegularTimeAxis = true,
YMajorTicks = new[] { -1, 2.5, 0.25, 0.125 },
XMinorTicks = new[] { 0.0, 7.25, 0.25, 1.125 },
YMinorTicks = new[] { -1, 2.5, 0.125, 1.025 },
XTickFontSize = 8,
XTickRotation = 30
},
PlotItems =
{
new Line2D("Data")
{
//X = timeTicks.Cast<object>().ToList(),
X = xMajorTicks.Cast <object>().ToList(),
Y = Y1.ToList(),
LineStyle = LineStyle.Dashed,
Marker = Marker.Circle,
MarkerSize = 5
},
//new Vline("vl", new object[] {DateTime.Now.AddHours(10)},-1,1),
new Vline("vl", new object[]{ 5 }, -1, 1)
}
}
}
};
var t = matplotlibCs.BuildFigure(figure);
t.Wait();
#endregion
}
/// <summary>
/// Chart of sin
/// </summary>
public void Run(string pythonExePath, string dasPlotPyPath)
{
// init engine with right paths
var matplotlibCs = new MatplotlibCS.MatplotlibCS(pythonExePath, dasPlotPyPath);
var figure = new Figure(1, 1)
{
FileName = "ExampleVisibility1.png",
OnlySaveImage = true,
DPI = 150,
Subplots =
{
new Axes(1, "The X axis", "The Y axis")
{
Title = "Visibility",
PlotItems =
{
new Line2D("Line 1")
{
X = new List <object>()
{
-1, 1
},
Y = new List <double>()
{
-1, 1
},
LineStyle = LineStyle.Dashed,
Color = Color.Blue
},
new Line2D("Line 2")
{
X = new List <object>()
{
-1, 1
},
Y = new List <double>()
{
-2, 2
},
LineStyle = LineStyle.Solid,
Color = Color.Red,
IsVisible = false // set this line invisible for first image
},
new Point2D("plus", 0.5, -0.5)
{
Marker = Marker.Circle,
MarkerSize = 10,
Color = Color.Green,
LineWidth = 2
},
}
}
}
};
var t = matplotlibCs.BuildFigure(figure);
t.Wait();
figure.Subplots[0]["Line 2"].IsVisible = true; // now turn one line2 vivibility and build the second image with new name
figure.FileName = "ExampleVisibility2.png";
t = matplotlibCs.BuildFigure(figure);
t.Wait();
}
/// <summary>
/// Chart of sin
/// </summary>
public static void Run(string pythonExePath, string dasPlotPyPath)
{
// init engine with right paths
var matplotlibCs = new MatplotlibCS.MatplotlibCS(pythonExePath, dasPlotPyPath);
var figure = new Figure(1, 1)
{
FileName = "ExamplePoint2D.png",
OnlySaveImage = true,
DPI = 150,
Subplots =
{
new Axes(1, "The X axis", "The Y axis")
{
Title = "2D points",
Grid = new Grid()
{
XLim = new double[] { -5, 15 },
YLim = new double[] { -5, 15 }
},
PlotItems =
{
new Point2D("Point 1", 0, 0)
{
MarkerEdgeColor = Color.Black,
MarkerFaceColor = Color.Cyan,
MarkerSize = 15,
MarkerEdgeWidth = 2,
},
new Point2D("Point 2", 10, 10)
{
Color = Color.Red,
MarkerSize = 15,
MarkerEdgeWidth = 3,
Marker = Marker.Vline
},
new Line2D("Line 1")
{
X = new List <object>()
{
-2, 8.0
},
Y = new List <double>()
{
0, 10.0
},
Color = Color.Green,
MarkerEdgeColor = Color.Blue,
MarkerFaceColor = Color.None,
MarkerEdgeWidth = 3,
Marker = Marker.Circle,
MarkerSize = 10
}
}
}
}
};
var t = matplotlibCs.BuildFigure(figure);
t.Wait();
}
/// <summary>
/// Chart of sin
/// </summary>
public static void Run(string pythonExePath, string dasPlotPyPath)
{
#region create test data
var X = new double[2] {
-1, 1
};
var Y = new double[2] {
-1, 1
};
#endregion
#region create plot
// init engine with right paths
var matplotlibCs = new MatplotlibCS.MatplotlibCS(pythonExePath, dasPlotPyPath);
var figure = new Figure(1, 1)
{
FileName = "ExampleArc.png",
OnlySaveImage = true,
Width = 1080,
DPI = 150,
Subplots =
{
new Axes(1, "The X axis", "The Y axis")
{
Title = "Arc, Annotations",
LegendLocation = LegendLocation.LowerLeft,
Grid = new Grid()
{
MinorAlpha = 0.2,
MajorAlpha = 1.0,
},
PlotItems =
{
new Line2D("45")
{
X = new List <object>()
{
-1, 1
},
Y = new List <double>()
{
-1, 1
},
Color = Color.Blue
},
new Line2D("90")
{
X = new List <object>()
{
0, 0
},
Y = new List <double>()
{
-1, 1
},
Color = Color.Magenta
},
new Line2D("145")
{
X = new List <object>()
{
-1, 1
},
Y = new List <double>()
{
1, -1
},
Color = Color.Green
},
new Arc("45 arc", 0, 0, 0.5, 0.5, 0, 0, 45)
{
Color = Color.Blue
},
new Arc("90 arc", 0, 0, 0.6, 0.6, 0, 0, 90)
{
Color = Color.Magenta
},
new Arc("135 arc", 0, 0, 0.7, 0.7, 0, 0, 135)
{
Color = Color.Green
},
new Text("ant1", "45", 0.1, 0.04)
{
Alpha = 0.4
},
new Annotation("ant2", "90", 0.2, 0.6, 0.11, 0.26)
{
Alpha = 0.5
},
new Annotation("ant3", "135", -0.2, 0.6, -0.08, 0.32),
new Hline("0", 0, -1,1)
{
LineStyle = LineStyle.Solid,Color = Color.Black
}
}
}
}
};
var t = matplotlibCs.BuildFigure(figure);
t.Wait();
#endregion
}
public static void Main(string[] args)
{
string path = "C:\\Users\\King\\Desktop\\EnvisBackUps\\2018-04.cea";
MyDataReader reader = new MyDataReader();
reader.LoadCea(path);
List <UniArchiveBase> result = new List <UniArchiveBase>();
for (int i = 0; i < 10000; i++)
{
result.Add(reader.LoadNext());
}
// values restricted to one day 1.4.2018
var values = reader.values.Where(i => i.Key.Day == 1 && i.Key.Month == 4).Select(i => double.Parse(i.Value)).ToList(); // 8644 values for each 10 seconds
var values2 = result.Select(i => double.Parse(i.GetMemberValue("I_avg_3I").ToString())).Take(8644).ToList();
var values3 = result.Select(i => double.Parse(i.GetMemberValue("U_avg_U3").ToString())).Take(8644).ToList();
var times2 = reader.values.Where(i => i.Key.Day == 1 && i.Key.Month == 4).Select(i => i.Key.Hour as object).ToList(); // 8644 values for each 10 seconds
double[] X = new double[] { -10, -8.5, -2, 1, 6, 9, 10, 14, 15, 19 };
double[] Y = new double[] { -4, 6.5, -2, 3, -8, -5, 11, 4, -5, 10 };
var osaX = X.Select(i => i as object).ToList();
string tempfolder = System.IO.Path.GetTempPath();
tempfolder = "C:\\Users\\King\\Documents\\BP\\";
string pythonExe = "C:\\Users\\King\\AppData\\Local\\Programs\\Python\\Python37\\python.exe";
//string plotPath = "C:\\Users\\King\\source\\repos\\MatplotlibCS\\MatplotlibCS\\Python\\matplotlib_cs.py";
string plotPath = "C:\\Users\\King\\source\\repos\\MatplotlibTest\\MatplotlibTest\\MatplotlibCS\\matplotlib_cs.py";
var matplotLibEngine = new MatplotlibCS.MatplotlibCS(pythonExe, plotPath);
var figure = new Figure(3, 1)
{
FileName = "P_avg_3P_C_fromMatplotLibCS.pdf",
OnlySaveImage = true,
DPI = 150,
Width = 1920,
Height = 1080,
Subplots =
{
new Axes(1, "dayhours", "P(W)")
{
Title = "1.4.2018",
LegendLocation = LegendLocation.UpperLeft,
Grid = new Grid()
{
MinorAlpha = 0.2,
MajorAlpha = 1.0,
XMajorTicks = new[] { 0.0, 24.0, 1.0 }, //min, max, step
YMajorTicks = new[] { 0.0, 4200.0, 600.0 },
//XMinorTicks = new[] {0.0, 7.25, 0.25},
//YMinorTicks = new[] {-1, 2.5, 0.125}
},
PlotItems =
{
new Line2D("řada P-avg-3P-C")
{
X = times2,
Y = values,
LineStyle = LineStyle.Solid,
Color = Color.Blue,
},
new Annotation("Arrow text annotation", "Arrow text annotation example", 14.0, 1000.0, 22.0, 1500.0)
{
Color = Color.Blue
},
//new Vline("vert line", new[] {3.0 as object}, -1, 1),
//new Hline("hrzt line", new[] {0.1, 0.25, 0.375}, 0, 5) {LineStyle = LineStyle.Dashed, Color = Color.Magenta}
}
},
new Axes(2, "dayhours", "I(A)")
{
Title = "",
LegendLocation = LegendLocation.UpperLeft,
Grid = new Grid()
{
MinorAlpha = 0.2,
MajorAlpha = 1.0,
XMajorTicks = new[] { 0.0, 24.0, 1.0 }, //min, max, step
YMajorTicks = new[] { 0.0, 19.0, 5.0 },
//XMinorTicks = new[] {0.0, 7.25, 0.25},
//YMinorTicks = new[] {-1, 2.5, 0.125}
},
PlotItems =
{
new Line2D("řada I-avg-3I")
{
X = times2,
Y = values2,
LineStyle = LineStyle.Solid,
Color = Color.Yellow,
LineWidth = 2.0F,
},
new Text("Named annotation", "2px solid line - comment text 15pt", 11.0, 9.0)
{
FontSize = 15
},
//new Vline("vert line", new[] {3.0 as object}, -1, 1),
//new Hline("hrzt line", new[] {0.1, 0.25, 0.375}, 0, 5) {LineStyle = LineStyle.Dashed, Color = Color.Magenta}
}
},
new Axes(3, "dayhours", "U(V)")
{
Title = "",
LegendLocation = LegendLocation.UpperLeft,
Grid = new Grid()
{
MinorAlpha = 0.2,
MajorAlpha = 1.0,
XMajorTicks = new[] { 0.0, 24.0, 1.0 }, //min, max, step
YMajorTicks = new[] { 220.0, 250.0, 5.0 },
//XMinorTicks = new[] {0.0, 7.25, 0.25},
//YMinorTicks = new[] {-1, 2.5, 0.125}
},
PlotItems =
{
new Line2D("řada U-avg-U3")
{
X = times2,
Y = values3,
LineStyle = LineStyle.Solid,
Color = Color.Green,
},
new Text("Named annotation", "horizontal and vertical lines - 2px", 11.0, 245.0)
{
FontSize = 13
},
new Vline("vertical line", new[]{ 3.5 as object }, 220.0, 250.0)
{
LineStyle = LineStyle.Solid, Color = Color.Magenta, LineWidth = 2F
},
new Hline("hrzt line", new[]{ 232.0 }, 0, 23.0)
{
LineStyle = LineStyle.Dashed, Color = Color.Magenta
}
}
}
}
};
//act
var t = matplotLibEngine.BuildFigure(figure);
t.Wait();
}
