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How to plot Feature importance of any model in python

#Feature importance from any model can be plotted as follows:

importances = model.feature_importances_ 
idxs = np.argsort(importances) 
plt.title('Feature Importances')
plt.barh(range(len(idxs)), importances[idxs], align='center') 
plt.yticks(range(len(idxs)), [col_names[i] for i in idxs]) 
plt.xlabel('Model name Feature Importance') 
plt.show()
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python model feature importance

model = XGBClassifier()
m = model.fit(X , y)
zip_iterator = zip(list(X.columns), m.feature_importances_)
feature_dict = dict(zip_iterator)
dict( sorted(feature_dict.items(), key=operator.itemgetter(1),reverse=True))
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