我使用Symphy进行变量的分析处理(例如矩阵乘法等)。 完成此操作后,我将得到一个新的Symphy表达式,我希望使用Matplotlib进行绘图。到目前为止,我唯一的方法是打印Symphy表达式并手动将其粘贴到新定义的函数中
如何在不依赖复制和粘贴的情况下直接将SymPy表达式转换为用于数值解释的函数?
下面是一个简单的工作示例:
import sympy as sp
import matplotlib.pyplot as plt
import numpy as np
sp.var('x A B') # x will later be the variable, A and B will be constants
temp = A*x+B # intermediate calculations
f = temp*x # function in reality, it will be more complicated.
print(f) # I printed f in order to find the expression and copy-pasting it into the function below.
def func(x,A,B):
return x*(A*x + B) # This statement was copy-pasted. This line should be changed, s.t. copy-pasting is not necessary!
#Now we can handle the function numerically for plotting (using matplotlib and numpy)
xspace = np.linspace(0,5)
plt.plot(xspace,func(x=xspace,A=1,B=2))
Sympy的^{} 正是为此而存在的。只需将
func
的定义替换为:相关问题 更多 >
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