用Python开发汽车状态分类器

 分析数据

    
 data_processing.py
    
    
    
    

 import pandas as pd

    
 from urllib.request import urlretrieve
    
  
    
  
    
 def load_data(download=True):
    
     if download:
    
     data_path = urlretrieve("http://archive.ics.uci.edu/ml/machine-learning-databases/car/car.data","car.csv")
    
     print("下载成功")
    
  
    
     col_names = ["buying","maint","doors","persons","lug_boot","safety","class"]
    
     data = pd.read_csv("car.csv",names=col_names)
    
     return data
    
  
    
 def convert2onehot(data):
    
     return pd.get_dummies(data, p