万能的0和1 之 字典特征抽取

# 字典特征抽取
from sklearn.feature_extraction import DictVectorizer

# 字典特征抽取
def dic_f_extra():
    # 人物信息
    shao_jin = [{"name":"袁小棠", "age": 19, "gender":"男"},
              {"name":"小亭子", "age": 19, "gender":"女"},
              {"name":"白衣段云", "age": 22, "gender": "男"},
              {"name":"阿九", "age": 18, "gender":"女"}]

    # 实例化字典特征抽取对象(为了便于观察,不使用sparse格式显示)
    dict_v = DictVectorizer(sparse=False)

    # 填充数值并转换
    data = dict_v.fit_transform(shao_jin)

    # 打印抽取后的,字典特征名称信息
    print(dict_v.get_feature_names())

    print("\n","\n","\n")
    # 打印字典特征数据信息
    print(data)

if __name__ == '__main__':
    dic_f_extra()