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Python | Scipy integrate.quadrature() method

  • 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)

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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.




# 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 :




# 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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