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我正在尝试生成决策树的可视化。然而，我得到一个错误，我不能解决。 这是我的密码：
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())我得到以下错误：
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虽然法典有点修改：
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())Tags： offromimporttruedatanamespngexport
缺少
=，应将最后一个参数更新为class_names=['0', '1']：相关问题 更多 >
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