#random forest feature importance
import matplotlib.pyplot as plt

for f in range(x_train.shape[1]):
	print("%d. feature %d (%f)" % (f + 1, indices[f], importances[indices[f]]))

# Plot the feature importances of the forest
plt.figure(1, figsize=(14, 13))
plt.title("Feature importances")
plt.bar(range(x_train.shape[1]), importances[indices], color="g", yerr=std[indices], align="center")
plt.xticks(range(x_train.shape[1]), x_train.columns[indices],rotation=90)
plt.xlim([-1, x_train.shape[1]])

plt.show()