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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.
April 11, 2019 / 8.0.3: Mac, Windows: 3D and volume visualization, Curve and peak fitting, Signal processing, Image processing ILNumerics: Math library for .NET / C#: GPL / proprietary: No 2006: June 11, 2015 / v4.8: Windows and Linux: Math library with rich visualization features (interactive 3D scenes, scientific plotting) and MATLAB-like ...
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:
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.
Python library for the manipulation and storage of a wide range of geoscientific data (points, curve, surface, 2D and 3D grids) in geoh5 file format, natively supported by Geoscience ANALYST free 3D viewer Mira Geoscience Ltd. LPGL 3.0 Cross-platform: Python: Documentation and tutorials fully available in ReadTheDocs: geoapps repository [24]
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
Log-spaced level curve plot In mathematical optimization , Himmelblau's function is a multi-modal function, used to test the performance of optimization algorithms . The function is defined by:
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 ]