Metadata-Version: 2.1
Name: xymath
Version: 0.3.1
Summary: A GUI and API that creates, documents and explores y=f(x) curve fits
Home-page: http://xymath.readthedocs.org/en/latest/
Download-URL: https://github.com/sonofeft/XYmath
Author: Charlie Taylor
Author-email: charlietaylor@users.sourceforge.net
License: GPL-3
Keywords: xymath setuptools development
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Provides-Extra: dev
Provides-Extra: test
License-File: LICENSE.txt
License-File: AUTHORS.rst





.. image:: https://img.shields.io/pypi/v/XYmath.svg

        

.. image:: https://img.shields.io/badge/python-3.5|3.6|3.7|3.8|3.9|3.10-blue



.. image:: https://img.shields.io/pypi/l/XYmath.svg





XYmath Creates, Documents And Explores Y=f(X) Curve Fits

========================================================



See the Code at: `<https://github.com/sonofeft/XYmath>`_



See the Docs at: `<http://xymath.readthedocs.org/en/latest/>`_



See PyPI page at:`<https://pypi.python.org/pypi/xymath>`_



XYmath will find the "best" curve fit equation in a data set of x,y pairs by minimizing

the sum of the square of the the difference between the data and the equation (i.e. residuals).  



The user may choose to minimize either percent error or total error.  



*(Percent error is particularly useful for y values spanning several orders of magnitude.)*



XYmath can search through

common equations, an exhaustive search through thousands of equations,

splines, smoothed splines, or fit non-linear equations of the user's choice.



After fitting, XYmath will find roots, minima, maxima, derivatives or

integrals of the fitted curve. It will generate source code that documents and

evaluates the fit in python, FORTRAN or EXCEL. Configurable plots are

created using matplotlib that are of publication quality, including plots of

equation residuals.





