问题
When the following code is run Derivative(Ksi(uix, uiy), uix))
and Derivative(Ksi(uix, uiy), uiy))
terms appear:
In [4]: dgN
Out[4]:
Matrix([
[-(x1x - x2x)*(-x1y + x2y)*((x1x - x2x)**2 + (-x1y + x2y)**2)**(-0.5)*Derivative(Ksi(uix, uiy), uix) + (-x1y + x2y)*(-(-x1x + x2x)*Derivative(Ksi(uix, uiy), uix) + 1)*((x1x - x2x)**2 + (-x1y + x2y)**2)**(-0.5)],
[-(-x1x + x2x)*(-x1y + x2y)*((x1x - x2x)**2 + (-x1y + x2y)**2)**(-0.5)*Derivative(Ksi(uix, uiy), uiy) + (x1x - x2x)*(-(-x1y + x2y)*Derivative(Ksi(uix, uiy), uiy) + 1)*((x1x - x2x)**2 + (-x1y + x2y)**2)**(-0.5)]])
I would like to replace this Derivative
terms by, let's say, the symbolic expression of the derivative of a function that I know for example, I would like to set Derivative(Ksi(uix,uiy), uix) = 2 * uix
.
Is there a neat way to do this substitution and to get a symbolic expression for dgN
with Derivative(Ksi(uix,uiy), uix)
set to 2 * uix
? Here is my code:
import sympy as sp
sp.var("kPenN, Xix, Xiy, uix, uiy, Alpha, x1x, x1y, x2x, x2y, x3x, x3y ", real = True)
Ksi = sp.Function('Ksi')(uix,uiy)
Xi = sp.Matrix([Xix, Xiy])
ui = sp.Matrix([uix, uiy])
xix = Xix + uix
xiy = Xiy + uiy
xi = sp.Matrix([xix, xiy])
x1 = sp.Matrix([x1x, x1y])
x2 = sp.Matrix([x2x, x2y])
N = sp.Matrix([x2 - x1, sp.zeros(1)]).cross(sp.Matrix([sp.zeros(2,1) , sp.ones(1)]))
N = sp.Matrix(2,1, sp.flatten(N[0:2]))
N = N / (N.dot(N))**(0.5)
xp = x1 + (x2 - x1)*Ksi
# make it scalar (in agreement with 9.231)
gN = (xi - xp).dot(N)
dgN = sp.Matrix([gN.diff(uix), gN.diff(uiy)])
回答1:
The substitution you want can be achieved with
dgN_subbed = dgN.subs(sp.Derivative(Ksi, uix), 2*uix)
Here Ksi is without arguments (uix,uiy) since those were already declared when Ksi was created.
The syntax would be a little more intuitive if you defined Ksi
as Ksi = sp.Function('Ksi')
, leaving the arguments -- whatever they may be -- to be supplied later. Then sp.Derivative(Ksi(uix, uiy), uix)
would be the way to reference the derivative.
来源:https://stackoverflow.com/questions/41813269/can-we-replace-the-derivative-terms-in-sympy-coming-from-the-differentiation-o