Python 带有数据帧的Mongoengine文档
假设我有以下mongo模型:Python 带有数据帧的Mongoengine文档,python,mongodb,pymongo,mongoengine,Python,Mongodb,Pymongo,Mongoengine,假设我有以下mongo模型: class User(Document): name = StringField(required=True,unique=True) characteristics = DictField() class Office(Document): user = ReferenceField(User) office= StringField(required=True,unique=True) salary = IntField(
class User(Document):
name = StringField(required=True,unique=True)
characteristics = DictField()
class Office(Document):
user = ReferenceField(User)
office= StringField(required=True,unique=True)
salary = IntField()
class Department(Document):
offices = ReferenceField(Office)
city = StringField(required=True,unique=True)
country = StringField()
我有以下数据帧:
df_users = pd.DataFrame({"name":["Goku","Gohan","Piccolo"],
"characteristics":[{"a":1},{"b":2},{"c":3}]})
df_office = pd.DataFrame({"user":["Goku","Gohan","Piccolo"],
"office":["Earth","Pao","Namek"],
"salary":[1,2,3]})
df_department = pd.DataFrame({"offices":["Earth","Pao","Namek"],
"city":["South City","North City","nameki"],
"country":["A","B","C"] })
我知道我可以通过以下方式轻松将这些数据帧上传到mongo集合:
db.collection.insert_many(df_name.to_dict("records"))
但如果我这样做了,那么为什么我要定义这些类用户、办公室、部门?我不知道如果我这样做,我是否会得到一个非空的答案
User.objects(); Office.objects(), Department.objects()
我知道我能做到
记录=用户(name=“Goku”,特征=0)
record.save#一些上传到集合的命令
所以,我的问题是,如何使用我定义的类上传这些数据帧?
某种
df_name.apply(lambda x: Respectively_Class(**x)).insert(db.collection_name)
因此,当我分别调用\u Class.objects时,我得到了一个非空结果?例如,您可以这样做:
array = df_office.to_dict()
instances = [Office(**data) for data in array]
Office.objects.insert(instances, load_bulk = False)