I'm trying to do some PairPlots using seaborn, so I can compare a bunch of features against the label I'm trying to model. There are a bunch of features though (~50). So I'm basically doing:
g = sns.pairplot(train_df,x_vars=["MoSold","GarageArea","ScreenPorch","OverallQual"],y_vars="SalePrice",size=4)
Where "SalePrice" is the label that I want to compare the others against. For now I don't care about comparing the features to each other.
The problem I'm having, though, is that when I plot this in my Jupyter notebook, it formats it as one long row.
I'm only doing it with 4 features here, but when I add as many as I want to, it basically makes the row thinner and longer, and impossible to read (because it's trying to make them all share the same y axis).
What I'd like is for it to automatically wrap like panda's hist does:
I can think of a few little hacks. I could do several individual PairPlot commands to manually do it, using a for loop or something, but that would be kind of a pain. Is there some more elegant way to do this? Something where I'd specify the number of columns it'll display with, and then it'll make a grid, where the y axis is always SalePrice?