Plot scatter with actual vs predicted values with seaborn

Question

This is how data frame previsao3_df looks like:

I want to plot a scatter where the regression line is designed by the values of column " Previsão ".

scatter_poly2 = sns.lmplot(
    data = previsao3_df, 
    x = "X",
    y = "y",
    order = 2
)

Is generating this plot:

Is there a way to feed the plot with the predicted values Previsão ?

Thanks in advance!

Answer 1

I was doing this a few minutes ago: what you need is described in seaborn documentation . To solve your precise case simply:

sns.regplot(x="y", y="Previsão", data=previsao3_df);

And you will get the correlation between your model predictions and actual training/fitting data. Please notice that there are several options in the documentation ofregplot and I invite you to explore that by yourself to master the package.