seed keyword for random distributions?

[jGaboardi]

I would like to gauge interest in adding a seed keyword for the random distributions in random.py. While results are reproducible by setting a seed manually prior to call a distribution function, it would be beneficial to do so in a more automated fashion. With the initial inclusion of pointpats random distribution in geopandas (geopandas/geopandas#2860), the may be of particular use. Within the sample_points() method over there, a seed keyword can be passed in, but is not used when generating points with pointpats.

cc @martinfleis @ljwolf @knaaptime

[martinfleis]

We should ideally refactor our random-based code paths based on new numpy generator logic (see https://github.com/geopandas/geopandas/blob/b4b10313ab57bf2c55592a28fb99687c9a538fc2/geopandas/tools/_random.py#L42) while doing that.

I am also not sure what should be the keyword called. numpy is using rng, seaborn seed, sklearn random_state and they all mean roughly the same thing...

[jGaboardi]

Yeah, spopt also uses both seed and random_state.

[martinfleis]

That is even better :D