Getting Features with importance from Random Forest Decison Trees

Installations & Python Packages
1

Hi, I´m trying to extract to a csv file the features names + the importance of each feature from a Random Forest Decision Tree



I code the features as: 

X = df.iloc[:,2:].values

and the objective as: 
y = df['Action #']

From a DataFrame that looks like the next image.

Image

By using this code I get a list with the values with no names or importances: 
print(model.feature_importances_)

Have tried:  
plt.barh(model.feature_names, model.feature_importances_) with error
pd.Series(model.feature_importances_, index=X.columns)


Any one may give me a hand or show me how to get this features?