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

3 votes343 views1 answer
How to add the column to the beginning of dataframe
Python
9 votes429 views5 answers
Proxy request python
Python
0 vote327 views1 answer
Python program to switch first and second characters in a string
Python
0 vote302 views2 answers
How to specify a key to be as a break fomction python
Python
0 vote325 views2 answers
Remove stopwords
Python
0 vote337 views1 answer
How to set text in qdateedit pyqt5
Python
0 vote340 views1 answer
How to draw play area for a game in python turtle
Python
2 votes307 views2 answers
Python ping api
Python
16 votes309 views1 answer
Save model keras
Python
7 votes323 views3 answers
How to delete migrations in django
Python