Python | Scipy integrate.quadrature() method (original) (raw)

Last Updated : 23 Jan, 2020

With the help of **scipy.integrate.quadrature()** method, we can get the computation of definite integral using fixed tolerance gaussian quadrature by using scipy.integrate.quadrature() method.

Syntax : scipy.integrate.quadrature(func, a, b) Return : Return gaussian quadrature approximation to integral.

**Example #1 :**In this example we can see that by using scipy.integrate.quadrature() method, we are able to get the gaussian quadrature approximation to integral function from limit a to b by using this method.

Python3 1=1 `

import scipy.integrate.

from scipy import integrate

gfg = lambda x: x8 + x4

using scipy.integrate.quadrature() method

geek = integrate.quadrature(gfg, 0.0, 1.8)

print(geek)

`

Output :

25.81905715199999

Example #2 :

Python3 1=1 `

import scipy.integrate.

from scipy import integrate

gfg = lambda x: x**2 + 2 * x + 4

using scipy.integrate.quadrature() method

geek = integrate.quadrature(gfg, 0.0, 4.0)

print(geek)

`

Output :

53.33333333333333