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

I use a similar solution to Sam:

import pandas as pd
important_features = pd.Series(data=brf.feature_importances_,index=x_dummies.columns)
important_features.sort_values(ascending=False,inplace=True)

I always just print the list using print important_features but to plot you could always use Series.plot