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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. File:Sierpinski triangle.svg - Wikipedia

    en.wikipedia.org/wiki/File:Sierpinski_triangle.svg

    Python code. from __future__ import division import matplotlib.pyplot as plt plt. figure plt. subplot (1, 1, 1) plt. axis ('off') def drawBlue ...

  4. File:Sinh cosh tanh.svg - Wikipedia

    en.wikipedia.org/wiki/File:Sinh_cosh_tanh.svg

    Python code. import numpy as np import matplotlib.pyplot as plt lim = 8 size = 5.6 fig, ax = plt. subplots (figsize = ...

  5. File:CO2 emission pie chart.svg - Wikipedia

    en.wikipedia.org/wiki/File:CO2_emission_pie...

    Python code. #Very slight changes were made in a text editor. import matplotlib.pyplot as plt print ... . subplots_adjust (bottom = 0.15) plt. savefig ...

  6. Random sample consensus - Wikipedia

    en.wikipedia.org/wiki/Random_sample_consensus

    A simple example is fitting a line in two dimensions to a set of observations. Assuming that this set contains both inliers, i.e., points which approximately can be fitted to a line, and outliers, points which cannot be fitted to this line, a simple least squares method for line fitting will generally produce a line with a bad fit to the data including inliers and outliers.

  7. Logistic map - Wikipedia

    en.wikipedia.org/wiki/Logistic_map

    The bifurcation diagram for the logistic map can be visualized with the following Python ... numtoplot = 200 lims = np. zeros (reps) fig, biax = plt. subplots fig ...

  8. Lorenz 96 model - Wikipedia

    en.wikipedia.org/wiki/Lorenz_96_model

    using DynamicalSystems, PyPlot PyPlot. using3D # parameters and initial conditions N = 5 F = 8.0 u₀ = F * ones (N) u₀ [1] += 0.01 # small perturbation # The Lorenz-96 model is predefined in DynamicalSystems.jl: ds = Systems. lorenz96 (N; F = F) # Equivalently, to define a fast version explicitly, do: struct Lorenz96 {N} end # Structure for size type function (obj:: Lorenz96 {N})(dx, x, p ...

  9. Stationary wavelet transform - Wikipedia

    en.wikipedia.org/wiki/Stationary_wavelet_transform

    The stationary wavelet transform (SWT) [1] is a wavelet transform algorithm designed to overcome the lack of translation-invariance of the discrete wavelet transform (DWT). ). Translation-invariance is achieved by removing the downsamplers and upsamplers in the DWT and upsampling the filter coefficients by a factor of () in the th level of the alg