如何对包含erf函数的SymPy表达式进行lambdify以与NumPy一起使用
I would like to lambdify a symbolic expression containing the erf function with SymPy. This can be done for scalar arguments as follows: 我想使用SymPy对包含e...
对于分段函数和numpy模块,sympy.lambdify出错
In sympy 0.7.6, I had no troubles with the following code for both the modules='sympy' and the modules='numpy' options. Now with sympy v0.1, the evalu...
Sympy lambdify错误与数组结合
I would like to lamdify an array input with sympy. Here was my first attempt: 我想用sympy来表示数组输入。这是我的第一次尝试: import sympy as symimport numpy as np# Load D...
SymPy lambdify引发OverflowError:数学范围错误
So, I have this code 所以,我有这个代码 from __future__ import division, print_functionimport sympy as spimport numpy as npfrom sympy.utilities.lambdify import...
在numpy mesgrid上评估sympy lambdify的结果
I would like to evaluate the output of sympy.lambdify on a numpy mgrid. I tried the following: 我想在numpy mgrid上评估sympy.lambdify的输出。我尝试了以下方法: import sym...
lambdify表达式与原生的sympy函数
I would like to lambdify sympy's exp, but I run into funny issues when trying to evaluate the function at a sympy.Symbol. This 我想讨论sympy的exp,但是当我试图在sy...
Sympy lambdify数组形状(n,)
I have the following 'issue' with sympy at the moment: 我此刻有以下“问题”: I have a symbolic expression like M = matrix([pi*a, sin(1)*b]) which I want to lamb...
Python优化使用sympy lambdify和scipy索引求和
I am kind of looking for a mixed solution of the proposed answer of this thread. The first code snippet is using a more symbolic way, which I am after...
Python优化使用sympy lambdify和scipy
I'm trying to maximize a function defined by sympy but cannot make it work. The basic idea can be summarized as follows: 我试图最大化由sympy定义的函数但不能使它工作。基本思路...
SymPy lambdify引发OverflowError:数学范围错误
So, I have this code 所以,我有这个代码 from __future__ import division, print_functionimport sympy as spimport numpy as npfrom sympy.utilities.lambdify import...
Python:SymPy lambdify abs用于NumPy
I am using SymPy for symbolic manipulation of expression, which is evaluated on huge amounts of data using NumPy. To speed up things, I use sympy.lamb...
python-sympy:当函数定义分段时,lambdify返回错误的答案
I am baffled at why the answer to the following code is 10 and not 1. Can someone help me understand what is going on with lambdify or what is creatin...