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 vote148 views1 answer
Uninstalling/removing a package is very easy with pip:
Python
0 vote151 views1 answer
What is kernel_initializer
Python
0 vote150 views2 answers
Bar Charts bokeh
Python
0 vote157 views2 answers
Find a number in an array
Python
3 votes147 views3 answers
Convert all columns to float pandas
Python
14 votes180 views4 answers
Django delete
Python Django
1 vote178 views1 answer
Python count code, Count number of occurrences of a given substring
Python
3 votes149 views4 answers
Nltk in python
Python
0 vote150 views1 answer
Write function leap false or true
Python
0 vote141 views1 answer
Check cudann
Python