numpy.trapz() function | Python
Last Updated :
26 Mar, 2020
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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)
7.5Code #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)
7.5Code #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)
15.0
