Introducing a second y axis into a relplot() call with multiple plots-CodePudding

The Problem

I have 2 dataframes which I combine and then melt with pandas. I need to multi-plot them (as below) and the code needs to be scalable. They consist of 2 variables which form the 'key' column below ('x' and 'y' here), across multiple 'stations' (just 2 here, but needs to be scalable). I've used relplot() to be able to multi-plot the two variables on each graph, and different stations on separate graphs.

Is there any way to maintain this format but introduce a 2nd y axis to each plot? 'x' and 'y' need to be on different scales in my actual data. I've seen

CodePudding user response：

Not what you asked for, but you could make a grid of relplots with different y-axes without changing your df shape

fg = sns.relplot(
    data=df,
    x = "index",
    y = "station_value",
    kind = "line",
    col = "key",
    row = "station",
    facet_kws={'sharey': False, 'sharex': True},
)