numpy.trapz()函数| Python

numpy.trapz()函数使用复合梯形规则沿给定轴积分。

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.

代码#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)

输出 ：

7.5

代码#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)

输出 ：

7.5

代码#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)

输出 ：

15.0