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

It is simple, I plotted it like this.

feat_importances = pd.Series(extraTree.feature_importances_, index=X.columns)
feat_importances.nlargest(15).plot(kind='barh')
plt.title("Top 15 important features")
plt.show()