Trouble using lambdify

[Eduardo Rivera]

Hi, I need help, I'm trying to use lambdify to use scipy solvers, however I can't seem to be able to convert it into a solvable array of numpy functions(it was an array of sympy expressions), this leads to a bunch of non callable errors. It does work if I just call it: f(x1,x2,x3) with known values though

test=lambdify((la1,la2,la3,la4,la5),steadystate)
x0=np.array([0.5,0.5,0.5,.5,.5])
print(test(1,1,1,1,1)) #works

print(test(x0)) # throws error

res=opt.root(test, x0) #also doesn't work

I think Im doing something wrong but not sure why, and I really need the scipy solvers.

[Denis Akhiyarov]

You need to unpack your x0 with * syntax.

So test(*x0).

[Aaron Meurer]

If you need lambdify to take a single argument, which unpacks to the
variables, you can pass a nested tuple, like

lambdify(((la1, la2, la3, la4, la5),), steadystate)

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[Eduardo Rivera]

Thank you both, I fixed it by using a "wrapper" function that yielded the tuples, and to make it work I needed the "unpack" tip from Denis. Next time I try the nested tuples solution, I had no idea that could be done!

Regards