在决策树可视化过程中，位置参数遵循关键字参数错误

Question

我正在尝试生成决策树的可视化。 但是，我收到一个无法解决的错误。 这是我的代码：

 from sklearn.tree import export_graphviz from sklearn.externals.six import StringIO from IPython.display import Image import pydotplus feature_cols = ['Reason_for_absence', 'Month_of_absence'] feature_cols dot_data = StringIO() export_graphviz(clf, out_file=dot_data, filled=True, rounded=True, special_characters=True, feature_names = feature_cols,class_names['0', '1']) graph = pydotplus.graph_from_dot_data(dot_data.getvalue()) graph.write_png('tree.png') Image(graph.create_png())

我收到以下错误：

 File "", line 9 export_graphviz(clf, out_file=dot_data, filled=True, rounded=True, special_characters=True, feature_names = feature_cols,class_names['0', '1']) ^ SyntaxError: positional argument follows keyword argument

编辑：

我已经根据答案更改了代码，现在出现错误：

 IndexError: list index out of range

虽然代码稍作修改：

 feature_cols = ['Reason_for_absence', 'Month_of_absence', 'Day_of_the_week', 'Seasons', 'Transportation_expense', 'Distance_from_Residence_to_Work', 'Service_time', 'Age', 'Work_load_Average/day ', 'Hit_target', 'Disciplinary_failure', 'Education', 'Son', 'Social_drinker', 'Social_smoker', 'Pet', 'Weight', 'Height', 'Bod_mass_index', 'Absenteeism'] dot_data = StringIO() export_graphviz(clf, out_file=dot_data, filled=True, rounded=True, special_characters=True, feature_names = feature_cols, class_names=['0', '1']) graph = pydotplus.graph_from_dot_data(dot_data.getvalue()) graph.write_png('tree.png') Image(graph.create_png())

Answer 1

您错过了= ，您应该将最后一个参数更新为class_names=['0', '1'] ：

export_graphviz(clf, out_file=dot_data, filled=True, rounded=True, 
    special_characters=True, 
    feature_names = feature_cols, 
    class_names=['0', '1'])