ApproxFun.jl
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Plotting Jacobi polynomials of <-1 parameters goes wrong
julia> f=Fun(JacobiWeight(2.0,0.0,Jacobi(2.0,-2.0)),[0,1.0]);
julia> plot(x->f(x),xlims=(-1,1))

julia> plot(f)

You may change JacobiWeight(2.0,0.0,Jacobi(2.0,-2.0) to Jacobi(2.0,-2.0) and the results are still different.