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  2. Ikeda map - Wikipedia

    en.wikipedia.org/wiki/Ikeda_map

    Python code for point trajectories [ edit ] import math import matplotlib.pyplot as plt import numpy as np def main ( u : float , points = 200 , iterations = 1000 , nlim = 20 , limit = False , title = True ): """ Args: u:float ikeda parameter points:int number of starting points iterations:int number of iterations nlim:int plot these many last ...

  3. 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.

  4. Wikipedia : How to create charts for Wikipedia articles

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

    Matplotlib is a plotting package for the free programming language Python. Its pyplot 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.

  5. 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.

  6. SymPy - Wikipedia

    en.wikipedia.org/wiki/SymPy

    SymPy is an open-source Python library for symbolic computation.It provides computer algebra capabilities either as a standalone application, as a library to other applications, or live on the web as SymPy Live [2] or SymPy Gamma. [3]

  7. SciDAVis - Wikipedia

    en.wikipedia.org/wiki/SciDAVis

    SciDAVis can generate different types of 2D and 3D plots (such as line, scatter, bar, pie, and surface plots) from data that is either imported from ASCII files, entered by hand, or calculated using formulas. [2]

  8. 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 .

  9. Hopsan - Wikipedia

    en.wikipedia.org/wiki/HOPSAN

    Plot data can be exported to XML, CSV, gnuplot and Matlab. Experiments with including the Hopsan simulation core to LabVIEW Simulation Interface Toolkit by using a wrapper library have been successful. Support for model exchange, both import and export, by using the Functional Mock-up Interface is currently being implemented. [5]