Extrapolate python

import matplotlib.pyplot as plt
import numpy as np
from scipy.interpolate import InterpolatedUnivariateSpline

# given values
xi = np.array([0.2, 0.5, 0.7, 0.9])
yi = np.array([0.3, -0.1, 0.2, 0.1])
# positions to inter/extrapolate
x = np.linspace(0, 1, 50)
# spline order: 1 linear, 2 quadratic, 3 cubic ... 
order = 1
# do inter/extrapolation
s = InterpolatedUnivariateSpline(xi, yi, k=order)
y = s(x)

# example showing the interpolation for linear, quadratic and cubic interpolation
plt.figure()
plt.plot(xi, yi)
for order in range(1, 4):
    s = InterpolatedUnivariateSpline(xi, yi, k=order)
    y = s(x)
    plt.plot(x, y)
plt.show()

Source: stackoverflow.com

Similar codes

0 vote217 views1 answer
Django forms request
Python Django
3 votes207 views2 answers
The virtual environment was not created successfully because ensurepip is not available. On Debian/Ubuntu systems, you need to install the python3-venv package using the following command.
Python
4 votes211 views1 answer
How to calculate rmse in linear regression python
Python
3 votes224 views6 answers
Send embed discord.py
Python
2 votes160 views1 answer
Discord.py username input in numbers
Python
0 vote224 views2 answers
Numpy nditer
Python
2 votes193 views1 answer
Python text fromatting rows
Python
0 vote213 views1 answer
How to read a pkl file in python
Python
0 vote160 views1 answer
Algorithme pour afficher table de multiplication python
Python
0 vote169 views1 answer
Border around dataframe in pandas
Python