from rpy2.robjects import r
ggplotRegression = r("""
function (fit) {
require(ggplot2)
ggplot(fit$model,
aes_string(x = names(fit$model)[2],
y = names(fit$model)[1])) +
geom_point() +
stat_smooth(method = "lm", col = "red") +
labs(title = paste("Adj R2 = ",
signif(summary(fit)$adj.r.squared, 5),
"Intercept =",
signif(fit$coef[[1]],5 ),
" Slope =",signif(fit$coef[[2]], 5),
" P =",signif(summary(fit)$coef[2,4],
5)))
}""")
With this you can call the function ggplotRegression in your Python code.