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  2. Matplotlib - Wikipedia

    en.wikipedia.org/wiki/Matplotlib

    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.

  3. Wikipedia : How to create charts for Wikipedia articles

    en.wikipedia.org/wiki/Wikipedia:How_to_create...

    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. Matplotlib mainly does 2-D plots (such as line, contour, bar, scatter, etc.), but 3-D functionality is also available.

  4. Parallel coordinates - Wikipedia

    en.wikipedia.org/wiki/Parallel_coordinates

    For n = 2 this yields a point-line duality pointing out why the mathematical foundations of parallel coordinates are developed in the projective rather than euclidean space. A pair of lines intersects at a unique point which has two coordinates and, therefore, can correspond to a unique line which is also specified by two parameters (or two ...

  5. Wikipedia:Graphs and charts - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Graphs_and_charts

    Livegap Charts creates line, bar, spider, polar-area and pie charts, and can export them as images without needing to download any tools. Veusz is a free scientific graphing tool that can produce 2D and 3D plots. Users can use it as a module in Python. GeoGebra is open-source graphing calculator and is freely available for non-commercial users.

  6. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Numerical data may be encoded using dots, lines, or bars, to visually communicate a quantitative message. [22] Effective visualization helps users analyze and reason about data and evidence. [23] It makes complex data more accessible, understandable, and usable, but can also be reductive. [24]

  7. Root locus analysis - Wikipedia

    en.wikipedia.org/wiki/Root_locus_analysis

    The following Python code can also be used to calculate and plot the root locus of the closed-loop transfer function using the Python Control Systems Library [14] and Matplotlib [15]. import control as ct import matplotlib.pyplot as plt # Define the transfer function sys = ct .

  8. NumPy - Wikipedia

    en.wikipedia.org/wiki/NumPy

    Moreover, complementary Python packages are available; SciPy is a library that adds more MATLAB-like functionality and Matplotlib is a plotting package that provides MATLAB-like plotting functionality. Although matlab can perform sparse matrix operations, numpy alone cannot perform such operations and requires the use of the scipy.sparse library.

  9. Domain coloring - Wikipedia

    en.wikipedia.org/wiki/Domain_coloring

    Domain coloring plot of the function f(x) = ⁠ (x 2 − 1)(x − 2 − i) 2 / x 2 + 2 + 2i ⁠, 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.