numpy.trapz() function | Python

numpy.trapz() function integrate along the given axis using the composite trapezoidal rule.

Syntax : numpy.trapz(y, x = None, dx = 1.0, axis = -1)

Parameters :
y : [array_like] Input array to integrate.
x : [array_like, optional] The sample points corresponding to the y values. If x is None, the sample points are assumed to be evenly spaced dx apart. The default is None.
dx : [scalar, optional] The spacing between sample points when x is None. The default is 1.
axis : [int, optional] The axis along which to integrate.

Return :
trapz: [float] Definite integral as approximated by trapezoidal rule.

Code #1 :

# Python program explaining
# numpy.trapz() function

# importing numpy as geek
import numpy as geek

y = [1, 2, 3, 4]

gfg = geek.trapz( y )

print (gfg)

Output :

7.5

Code #2 :

# Python program explaining
# numpy.trapz() function

# importing numpy as geek
import numpy as geek

y = [1, 2, 3, 4]
x = [5, 6, 7, 8]

gfg = geek.trapz(y, x)

print (gfg)

Output :

7.5

Code #3 :

# Python program explaining
# numpy.trapz() function

# importing numpy as geek
import numpy as geek

y = [1, 2, 3, 4]


gfg = geek.trapz(y, dx = 2)

print (gfg)

Output :

15.0