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.
# import numpy and scipy.integrateimport numpy as npfrom scipy import integrate x = np.arange(0, 10)y = np.arange(0, 10)# using scipy.integrate.simps() methodgfg = integrate.simps(y, x) print(gfg) |
Output :
40.5
Example #2 :
# import numpy and scipy.integrateimport numpy as npfrom scipy import integrate x = np.arange(0, 10)y = np.sqrt(x)# using scipy.integrate.simps() methodgfg = integrate.simps(y, x) print(gfg) |
Output :
17.875036119764566
