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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. Data transformation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Data_transformation...

    However, when both negative and positive values are observed, it is sometimes common to begin by adding a constant to all values, producing a set of non-negative data to which any power transformation can be applied. [3] A common situation where a data transformation is applied is when a value of interest ranges over several orders of magnitude ...

  4. Box–Muller transform - Wikipedia

    en.wikipedia.org/wiki/Box–Muller_transform

    Visualisation of the Box–Muller transform — the coloured points in the unit square (u 1, u 2), drawn as circles, are mapped to a 2D Gaussian (z 0, z 1), drawn as crosses. The plots at the margins are the probability distribution functions of z0 and z1. z0 and z1 are unbounded; they appear to be in [−2.5, 2.5] due to the choice of the ...

  5. Quantile normalization - Wikipedia

    en.wikipedia.org/wiki/Quantile_normalization

    In statistics, quantile normalization is a technique for making two distributions identical in statistical properties. To quantile-normalize a test distribution to a reference distribution of the same length, sort the test distribution and sort the reference distribution.

  6. Hough transform - Wikipedia

    en.wikipedia.org/wiki/Hough_transform

    The linear Hough transform algorithm estimates the two parameters that define a straight line. The transform space has two dimensions, and every point in the transform space is used as an accumulator to detect or identify a line described by = ⁡ + ⁡. Every point in the detected edges in the image contributes to the accumulators.