a2ray

Yes, I was absolutely [unable](https://github.com/JuliaPy/PyPlot.jl/issues/570) to register a package update on GitHub/Registrator because of this. My solution was install matplolib through Conda.pip and then Conda.add, before pointing PyCall to Conda's...

make a function to make header lines in `returnforwrite()`

Yup, as @henry2004y points out above. But while we're on the topic -- would it be useful to specify `matplotlib `dependencies for `PyPlot` like we do for other Julia packages...

And also, - it gets worse with some v1.11 releases of julia see [here](https://discourse.julialang.org/t/memory-leak-in-julia-1-11-x/125120) on discourse. - backport fix at https://github.com/JuliaLang/julia/pull/56801

Seems fixed with this in julia v1.11.6 https://github.com/JuliaLang/julia/pull/56801#ref-pullrequest-3019528031 though same code is slower from 1.10.5 to 1.11.6. I'll take the leak fix though, over faster execution.