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Python | Scipy integrate.quadrature() method

Last Updated : 23 Jan, 2020
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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: x**8 + x**4

# 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

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