I'm trying to solve an equation in python using SymPy. I have a generated equation (something like function = y(8.0-(y**3.0))
which I use with SymPy to create a new equation like this: eq = sympy.Eq(function, 2)
which outputs y(8.0-(y**3.0)) == 2
. but sympy.solve(eq)
doesn't seem to work.
>>> from sympy import Eq, Symbol as sym, solve
>>> y = sym('y')
>>> eqa = Eq(y(8.0-(y**3.0)), 8)
>>> solve(eqa)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/pymodules/python2.6/sympy/solvers/solvers.py", line 332, in solve
result = tsolve(f, *symbols)
File "/usr/lib/pymodules/python2.6/sympy/solvers/solvers.py", line 716, in tsolve
raise NotImplementedError("Unable to solve the equation.")
NotImplementedError: Unable to solve the equation.
thanks for reading.
For nonlinear equations, you should use
sympy.solvers.nsolve
to solve it numerically, except for some special cases where a more specific and appropriate solver may exist (e.g.tsolve
).For example, the following script should output 1.2667664310254.
Yours is a non linear equation ... So you can use
optimize.fsolve
for it. For further details look for the function in this tutorial scipy(I don't know why you mention scipy in your question when you use sympy in your code. I'll assume you are using sympy.)
Sympy can solve this equation if you specify an integer power for
y
(iey**3.0
changed toy**3
).The following works for me using Sympy 0.6.7.
Assuming you mean you were trying to use sympy, as opposed to scipy, then you can get Sympy (works with v0.7.2+) to solve it by making a small adjustment to way you defined your equation - you just need to put a multiplication operator (*) in between the first 'y' and the '('. It doesn't appear to matter whether you specify the power as a float or not (but it's possible it was required in 0.6.7).
This is a non-linear equation. What you need to look for is a root finding algorithm in SciPy.