5.9.1. 常用¶

SciPy 是一个开源的 Python 算法库和数学工具包。SciPy 包含的模块有最优化、线性代数、积分、插值、特殊函数、快速傅里叶变换、信号处理和图像处理、常微分方程求解和其他科学与工程中常用的计算。
SciPy 官网：https://www.scipy.org/
SciPy 源代码：https://github.com/scipy/scipy

安装:

$ pip install numpy scipy matplotlib ipython jupyter pandas sympy nose

$ apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose

$ brew install numpy scipy ipython jupyter

使用:

from scipy import optimize, special
from numpy import *
from pylab import *

x = arange(0,10,0.01)

for k in arange(0.5,5.5):
     y = special.jv(k,x)
     plot(x,y)
     f = lambda x: -special.jv(k,x)
     x_max = optimize.fminbound(f,0,6)
     plot([x_max], [special.jv(k,x_max)],'ro')

title('Different Bessel functions and their local maxima')
show()