Turns out, this is not very complicated.
One can easily use `matplotlib.scale.SymmetricalLogTransform()`
https://gist.github.com/jzdm/5f8605a3c0d3a7c18f0d0f5c8dae7250

#NumPy #matplotlib #Python #symlog

Is there a #NumPy logspace-like function but for a symlog distribution? Or is it possible to utilize the #matplotlib SymmetricalLogScale somehow to return an evenly distributed array in symlog-space?
#Python #symlog