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Python | Scipy integrate.romb() method

Last Updated : 23 Jan, 2020
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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. Python3 1=1
# 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 : Python3 1=1
# 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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