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# 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.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 :

 `# 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

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