python How to visualize the decision trees in random forest?

Question

I would like to visualize the Decision trees (10 in this example), but I am a bit confused how to do it.

I have found how to visualize each tree separately. I am looking how can I see for example 10 trees together.

thanks!

here is the code

from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_iris

iris = load_iris()
X = iris.data[:,0:1]
y = iris.target


X_train, X_test, y_train, y_test = train_test_split(X, y,)
clf = RandomForestClassifier(bootstrap=True, n_estimators=10, criterion='gini', max_depth=5, max_features='sqrt', random_state=0)
clf.fit(X_train, y_train)


print(clf.score(X_test, y_test))