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Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
The top row is a series of plots using the escape time algorithm for 10000, 1000 and 100 maximum iterations per pixel respectively. The bottom row uses the same maximum iteration values but utilizes the histogram coloring method. Notice how little the coloring changes per different maximum iteration counts for the histogram coloring method plots.
The contours can be of two kinds: Isolines – lines following a single data level, or isovalue. Isobands – filled areas between isolines. Typical applications include the contour lines on topographic maps or the generation of isobars for weather maps. Marching squares takes a similar approach to the 3D marching cubes algorithm:
External or with the Scilab/Matlab/Python interface. Possibility to perform complex slices. External (export to .vtk/.vtu and many others) ElmerGUI comes VTK based visualization tool (but Paraview is recommended) Yes, VTK-based GUI, Python visualizatuion library Buil-in simple plotting + External Built-in with optional Plotly and GMV export
plots and charts from data Plotly: GUI, command line Python: Commercial: No 2012: Any (web-based) plots and charts in browser, web-sharing and exporting, drag-and-drop data import, Python command line plotutils: command line, C/ C++: GPL: Yes 1989: September 27, 2009 / 2.6: Linux, Mac, Windows: Collection of command line programs, C/C++ API PLplot
2014/10 Origin 2015 [6] added graph thumbnail previews, project search, heat map, 2D kernel density plot and Python support. 2013/10 Origin 9.1 [7] SR0 added support for Piper diagram, Ternary surface plot etc. 2012/10 Origin 9 with high performance OpenGL 3D Graphing, orthogonal regression for implicit/explicit functions
Contour surfaces of Ackley's function in 3D In mathematical optimization , the Ackley function is a non- convex function used as a performance test problem for optimization algorithms . It was proposed by David Ackley in his 1987 PhD dissertation. [ 1 ]
Just a general form of the equation, a plot of the objective function, boundaries of the object variables and the coordinates of global minima are given herein. Test functions for single-objective optimization