python - printing decision boundary with pyplot -

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using pandas , sklearn create decision tree learn on data pruning method tree retry different max depths. believe have working cannot seem output via pyplot. can me 

import numpy np import pandas pd sklearn import tree sklearn import cross_validation sklearn.cross_validation import kfold import matplotlib.pyplot plt  features = ['birad','age','shape','margin','density','severity']  df = pd.read_csv('mammographic_masses.data',header=none,names=features)   df= df[df.birad != '?'] df= df[df.age != '?'] df= df[df.shape != '?'] df= df[df.margin != '?'] df= df[df.density != '?'] #df= df[df.severity != '?']  x = df[features[:-1]] y = df['severity']  x_train,x_test,y_train,y_test = cross_validation.train_test_split(x,y,test_size=0.4,random_state=0)  depth = [] best_depth = 3 best_score = 0 best_clf = [] in range(1,20):     clf = tree.decisiontreeclassifier(max_depth=i)     clf = clf.fit(x_train,y_train)     scores = cross_validation.cross_val_score(clf,x_train,y_train,cv=10)     ascore = clf.score(x_test,y_test)     depth.append((i,clf.score(x_test,y_test)))     if ascore > best_score:             best_score,best_depth = ascore,i             best_clf.append(clf) print best_depth,' ',best_score

just guess, since didn't show trying plot data: did call

plt.show()

after generating plots? won't displayed until that.


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