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readme.txt 2013-12-22 2.4 kB 22 weekly downloads
quan.7z 2013-12-22 62.6 kB 22 weekly downloads
svg_plot_libs.7z 2013-12-21 4.0 MB 11 weekly downloads
svg_plot.7z 2013-12-21 144.9 kB 11 weekly downloads
visualization_9Nov11.7z 2011-11-09 6.7 MB 11 weekly downloads
SVG_plot.pdf 2011-11-09 5.0 MB 11 weekly downloads
readme.txt SVG_plot - a data visualization library for C++ =============================================== This library aims to help the user to easily plot data that is stored in STL containers. You can display data on one-dimensional, two-dimensional plots, boxplots and histograms. The plot is written to produce a Scalable Vector Graphic image in XML (that can also be easily converted to other graph types, for example, PNG http://en.wikipedia/org/wiki/Portable_Network_Graphics). SVG graphics are tiny but very high quality and do not change resolution when expanded or contracted. The library is a collection of C++ header files in Boost layout (do not try to build a library). You will need Boost http:/www.boost.org libraries installed too (but those that are used by SVG_plot are all header-only too). To use, you must download the headers in svg_plot.7z, and also quan.7z for handling uncertainty, and unzip both to a location of your choice. For example, you might unzip to folder or partition z: so header files are in folder z:/svg_plot. You must ensure that the #included files are visible to your build system. For Microsoft Visual Studio, this means adding the location z:/svg_plot to your VC++ Directories, Include files list, or by adding to Additional Include Directories. To use, you must get your data values (and optionally uncertainty information) into a STL container like vector (for 1D) or map (for 2D). vector<double> a; // Container filled with your data. svg_1d_plot my_plot; // Construct a plot. // Set title and legend, and X-axis range and label. .title("Times") .x_label("time (sec)") .x_range(0, 10); // There are hundreds of other possible options here! my_plot.plot(a, "A").stroke_color(blue); // Add your data to the plot. my_plot.write("./1d_simple.svg"); // Finally write the plot to a file. You can then view the SVG plot using any modern browser (with Microsoft Internet Explorer <= 8, you will need to install an Adobe plugin) For documentation, examples, samples and tests, download svg_plot_libs.7z If all else fails, see the extensive Doxygen, PDF and HTML manuals for details. svg_plot_libs/doc/doxygen/index.html, svg_plot_libs/doc/svg_lot.pdf and svg_plot_libs/doc/index.html. Paul A. Bristow Version 2, 21 dec 2013
Source: readme.txt, updated 2013-12-22