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Python | Scipy integrate.romb() method
• Last Updated : 23 Jan, 2020

With the help of `scipy.integrate.romb()` method, we can get the romberg integration using samples of a function from limit a to b by using `scipy.integrate.romb()` method.

Syntax : `scipy.integrate.romb(y, dx, axis, show)`
Return : Return the romberg integration of a sample.

Example #1 :
In this example we can see that by using `scipy.integrate.romb()` method, we are able to get the romberg integration using samples of a function from limit a to b by using this method.

 `# import numpy and scipy.integrate``import` `numpy as np``from` `scipy ``import` `integrate``x ``=` `np.arange(``3``, ``12``)`` ` `# using scipy.integrate.romb() method``gfg ``=` `integrate.romb(x)`` ` `print``(gfg)`

Output :

56.0

Example #2 :

 `# import numpy and scipy.integrate``import` `numpy as np``from` `scipy ``import` `integrate``x ``=` `np.arange(``3``, ``12``)``y ``=` `np.cos(np.power(x, ``3.5``))`` ` `# using scipy.integrate.romb() method``gfg ``=` `integrate.romb(y)`` ` `print``(gfg)`

Output :

-3.5943771512643674

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