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Matplotlib 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. There is also a procedural "pylab" interface based on a state machine (like OpenGL ...
In computing, on the X Window System, X11 color names are represented in a simple text file, which maps certain strings to RGB color values. It was traditionally shipped with every X11 installation, hence the name, and is usually located in <X11root> /lib/X11/rgb.txt. The web colors list is descended from it but differs for certain color names.
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. 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 ...
Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7.
Its pylab interface is procedural and modeled after MATLAB, while the full Matplotlib interface is object-oriented. Python and Matplotlib are cross-platform, and are therefore available for Windows, OS X, and the Unix-like operating systems like Linux and FreeBSD. Matplotlib can create plots in a variety of output formats, such as PNG and SVG.
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The following other wikis use this file: Usage on ar.wikipedia.org دالة هيمل بلوه; Usage on ca.wikipedia.org Funció de Himmelblau; Usage on de.wikipedia.org
English: An arrow plot of the gradient of the function (,) = (+), superimposed over a color plot of the values of that function, demonstrating that the gradient yields a vector field of a given function. The plot was generated using Numpy and Matplotlib in Python 3.11.0 using the following code: