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利用曲线拟合和PyLab简介

  • 资源大小:187.25 kB
  • 上传时间:2021-06-30
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  • 资源积分:1积分
  • 标      签: pylab 简介 曲线 利用 拟合

资 源 简 介

This is a series of python modules that provide multi-dimensional curve fitting using least square method. The point of this project is to experiment with random functions, residuals and non-parametric methods of estimating the correctness of the solution. It currently includes a small set of functions and residuals, but it"s extensible. It also provides two different bootstrapping methods, with more to come. Dependencies: PyQt4, SciPy, Matplotib (pylab) Optional dependencies: Cython On Linux, these are all easy to get from your favorite distribution On Windows, I recommend installing Python(x,y) as it will contain all you need On Mac OS X, go on the respective websites, and install the packages. You might also want to use something like MacPort The documentation can now be found here: https://pyqt-fit.readthedocs.org/en/latest/index.html

文 件 列 表

PyQt-Fit-1.1.17
README.txt
PKG-INFO
LICENSE.txt
setup.cfg
bin
CHANGES.txt
setup.py
PyQt_Fit.egg-info
pyqt_fit
docs
output3.txt
MANIFEST.in
output.txt
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