Interpolates a cubic spline from an arbitrary set of data points 📉
A jupyter notebook that interpolates a cubic spline from any set of data points given by the user.
First, download the jupyter notebook file.
git clone https://github.com/jsondoo/Cubic-Spline-Interpolator.git
To try the interpolator, go here and upload the .ipynb file.
Or if you have jupyter notebook installed:
jupyter notebook
Open the file and enter your data points in the first cell into the x and y array. Then click Cell -> Run All. Scroll down to see the beautiful plot :)
a) Data points: (0,5), (1,9), (2,2), (3,4)
Input:
x=[0,1,2,3]y=[5,9,2,4]
Output:
b) Data points: (-2,10), (3,48), (5,20), (7.5,33), (10,144), (11,9), (12,27)
Input:
x = [-2, 3, 5, 7.5, 10, 11, 12]y = [10, 48, 20, 33, 144, 9, 27]
Output:
Written in Python 3. Last updated February 19th, 2017.