Mapping column names to random forest feature importances

Question

I am trying to plot feature importances for a random forest model and map each feature importance back to the original coefficient. I\'ve managed to create a plot that shows the

Answer 1

Another simple way to get a sorted list

importances = list(zip(xgb_classifier.feature_importances_, df.columns))
importances.sort(reverse=True)

Next code adds a visualization if it's necessary

pd.DataFrame(importances, index=[x for (_,x) in importances]).plot(kind = 'bar')