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.
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