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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 The program also provides a command line and scripting interface (based on python) to its plotting facilities. There is also a procedural pylab interface based on a state machine (like opengl.
Domain coloring plot of the function f(x) = (x2 − 1) (x − 2 − i) 2 x2 + 2 + 2 i, using the structured color function described below Plugins can be added for importing data in other formats, automating operations and creating different kinds of mathematical relationships between datasets In complex analysis, domain coloring or a color wheel graph is a technique for visualizing complex functions by assigning a color to each point of the complex plane
By assigning points on the complex plane to different colors and brightness, domain.
The algorithm associates a real number with each value of z by using the connection of the iteration number with the potential function This function is given by where zn is the value after n iterations and p is the power for which z is raised to in the mandelbrot set equation (zn+1 = znp + c, p is generally 2). Comparison of linear, concave, and convex functions when plotted using a linear scale (left) or a log scale (right) Curve fitting[1][2] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, [3] possibly subject to constraints
[4][5] curve fitting can involve either interpolation, [6][7] where an exact fit to the data is required, or smoothing, [8][9] in which a smooth function is constructed. The program runs on all major computers and operating systems (linux, unix, microsoft windows, macos, freedos, and many others) [4] originally released in 1986, its listed authors are thomas williams, colin kelley, russell lang, dave kotz, john campbell, gershon. Functions can also be fitted to data
Veusz is extensible with python plugins
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