Then come back for how to do it all in C#. If you are not familiar with gnuplot, I recommend you visit and see all the demos there. To see various demos in action, download the files, open the solution (Visual Studio) and run Demo.cs (make sure you've installed gnuplot first) I believe this project will be helpful to anyone who wants to visualize data/functions in C#, so I have released it here. Microsoft has a cloud numerics library, so C# is a good choice for machine learning if you want to for example, train your machine learning algorithm on a large dataset and scale across many computers in the Azure cloud. I wanted to recreate all the class projects in C# for practice. We used Octave/Matlab, and Octave uses gnuplot for its graphs. In 2012, I completed the excellent Machine Learning course by Andrew Ng (Coursera). If you haven't installed gnuplot on your system, download it at or Inspiration Just put gnuplot.cs in your project, change the first line from C:\gnuplot\bin to the location of gnuplot.exe on your system. Check out the examples of how easy it is to visualize functions and data. In order to plot this kind of data the for command of Gnuplot can be used to iterate through the data. Gnuplot.C# provides a nice set of functions to make it easy to use all the power of gnuplot to visualize your data in C#. Liegt fur¨ einen Gitterpunkt kein Wert vor, ist als Temperaturabweichung 9999 angegeben. Verwenden Sie dann die multiplot-Umgebung, um alle Plots gleichzeitig darzustellen. But as soon as you try to send arrays of data, overlay multiple graphs, and generally work with gnuplot from C#, you'll immediately see that you have to add all kinds of utility functions to not clutter up your code. Ein paar Hinweise: Bearbeiten Sie zun¨achst einen der vier identischen Plots. It only takes about 10 lines of code to wire up C# to send commands to gnuplot. And it supports many output formats, as well interactive zooming/rotating. It is extremely well documented and handles 2D, 3D (surface and pointcloud), heatmap, png, jpg, and much more using simple math syntax as well as simple text-based data. Many popular scientific publications with graphs use gnuplot. Note: gnuplot executable must be available on the system, or can be included in your project. Gnuplot has a richly documented set of commands, and this project brings these advanced graphing capabilities into the C# / Visual Studio programming environment. The GnuplotCSharp project makes it easy to use gnuplot in C# applications by adding a single file ( GnuPlot.cs) to your existing Visual Studio project.
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