Python | Scipy integrate.simps() method

With the help of scipy.integrate.simps() method, we can get the integration of y(x) using samples along the axis and composite simpson's rule by using scipy.integrate.simps() method.

Syntax : scipy.integrate.simps(y, x) Return : Return the integrated value of y(x) using samples.

Example #1 : In this example we can see that by using scipy.integrate.simps() method, we are able to get the integrated value of y(x) using samples and composite simpson's rule by using this method. Python3 1=1

# import numpy and scipy.integrate
import numpy as np
from scipy import integrate

x = np.arange(0, 10)
y = np.arange(0, 10)
# using scipy.integrate.simps() method
gfg = integrate.simps(y, x)

print(gfg)

Output :

40.5

Example #2 : Python3 1=1

# import numpy and scipy.integrate
import numpy as np
from scipy import integrate

x = np.arange(0, 10)
y = np.sqrt(x)
# using scipy.integrate.simps() method
gfg = integrate.simps(y, x)

print(gfg)

Output :

17.875036119764566