python计算函数曲线与x轴包围的面积_python – 计算给定一组坐标的曲线下面积,而不知道该函数...

麻木和scipy图书馆包括复合梯形(

numpy.trapz)和辛普森(

scipy.integrate.simps)规则。

这是一个简单的例子。在trapz和simps中，参数dx = 5表示数据沿x轴的间距为5个单位。

from __future__ import print_function

import numpy as np

from scipy.integrate import simps

from numpy import trapz

# The y values. A numpy array is used here,

# but a python list could also be used.

y = np.array([5, 20, 4, 18, 19, 18, 7, 4])

# Compute the area using the composite trapezoidal rule.

area = trapz(y, dx=5)

print("area =", area)

# Compute the area using the composite Simpson's rule.

area = simps(y, dx=5)

print("area =", area)

输出：

area = 452.5

area = 460.0