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  2. File:Sierpinski triangle.svg - Wikipedia

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

    from __future__ import division import matplotlib.pyplot as plt plt. figure plt. subplot (1, 1, 1) plt. axis ('off') def drawBlue (p1, p2, p3): plt. fill ([p1 [0], p2 ...

  3. Arghakhanchi 1 (constituency) - Wikipedia

    en.wikipedia.org/wiki/Arghakhanchi_1_(constituency)

    import matplotlib.pyplot as plt # Data for the financial federalism representation levels = ["Federal Government", "State/Provincial Government", "Local Government"] revenues = [60, 30, 10] # Revenue percentage distribution expenditures = [50, 40, 10] # Expenditure percentage distribution # Creating the figure and axis

  4. File:Sinh cosh tanh.svg - Wikipedia

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

    import numpy as np import matplotlib.pyplot as plt lim = 8 size = 5.6 fig, ax = plt. subplots (figsize = (size, size)) xs = np. linspace ...

  5. Subplot - Wikipedia

    en.wikipedia.org/wiki/Subplot

    In fiction, a subplot or side story is a strand of the plot that is a supporting side story for any story or for the main plot. Subplots may connect to main plots, in either time and place or thematic significance. Subplots often involve supporting characters, those besides the protagonist or antagonist. Subplots may also intertwine with the ...

  6. 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.

  7. File:Duffing oscillator.webm - Wikipedia

    en.wikipedia.org/wiki/File:Duffing_oscillator.webm

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  8. 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

  9. 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 ...