Скачать или смотреть Plants & Python, vol. 9: Curve fitting: polynomials and more

The Jupyter notebooks for this course can be found at the following link: https://nbviewer.jupyter.org/github/D...

This video is part of the Foundation in Computational Plant Science course at Michigan State University. This course is part of the IMPACTS initiative, which stands for Integrated Training Model in Plant and Computational Sciences, an NSF-funded Research Traineeship Program grant.

In this video, pay attention to the following points:

• How to use np.polyfit() to model coefficient values of polynomial functions
• How to use np.poly1d() to create a function using np.polyfit() coefficients
• How to write a function for a custom model that is not a polynomial
• How to use curve_fit() from scipy to solve for custom models

The data used in this tutorial can be downloaded here: https://github.com/DanChitwood/Plants...