CODEWITHSUNDEEP
pythonscipynumerical-integrationsimpsons-rule
Srivatsan
Srivatsan

Reputation: 9363

Numerical integration for unevenly spaced intervals, Python

I would like to do numerical integration for a given set of samples.

Let say I have x unevenly spaced regions and y = f(x) is the function I want to integrate. 

    x       y=f(x)
   0.1      10.5
   1.2      2.0
   3.7      11.0
   7.0      4.0

Now can I use the Simpon's rule from scipy.integrate this way? 

from scipy.integrate import simps

I = simps(y,x)

even though my x values are unevenly spaced?

Upvotes: 3

Views: 4431

Answers (1)

Srivatsan
Srivatsan

Reputation: 9363

For numerical integration, the above procedure can be followed once we have the values of both x and the function y=f(x).

One can also use the Trapezoidal rule from numpy like:

result = np.trapz(y,x)

Upvotes: 2

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