python - 决策树可视化期间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

您缺少 =，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'])