If I use the seaborn library in Python to plot the result of a linear regression, is there a way to find out the numerical results of the regression? For example, I might want to know the fitting coefficients or the R2 of the fit.

I could re-run the same fit using the underlying statsmodels interface, but that would seem to be unnecessary duplicate effort, and anyway I'd want to be able to compare the resulting coefficients to be sure the numerical results are the same as what I'm seeing in the plot.