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 as np
from scipy import integrate
x = np.arange( 3 , 12 )
gfg = integrate.romb(x)
print (gfg)
|
Output :
56.0
Example #2 :
import numpy as np
from scipy import integrate
x = np.arange( 3 , 12 )
y = np.cos(np.power(x, 3.5 ))
gfg = integrate.romb(y)
print (gfg)
|
Output :
-3.5943771512643674
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