我有一个模特:
df['YearType'] = np.where(df['year'] == 1995, 'Value1995', 'ValueRetired')
res = df.pivot(index='ID', columns='YearType', values='Value')
print(res)
YearType Value1995 ValueRetired
ID
3 200 100
4 300 250
5 150 95
还有一个模式
class Portfolio(db.Document):
user = db.ReferenceField(User)
total_value = db.FloatField(required=True)
currency = db.StringField(required=True)
units = db.FloatField(required=True)
usd_value = db.FloatField(required=True)
meta = {
'indexes': ['user']
}
def __init__(self, **kwargs):
super(Portfolio, self).__init__(**kwargs)
def __repr__(self):
return '(Portfolio : %s - %s)' % self.action, self.status]
任何人都可以建议以最佳方式建议将class ObjectId(fields.Field):
def _serialize(self, value, attr, obj):
if value is None:
return ''
return str(value)
class PortfolioSchema(ma.Schema):
id = ObjectId(dump_only=True)
user = ma.Nested(UserSchema)
total_value = ma.Float(required=True)
currency = ma.String(required=True)
units = ma.Float(required=True)
usd_value = db.Float(required=True)
class Meta:
model = Portfolio
@post_load
def make_portfolio(self, data):
return Portfolio(**data)
作为投资组合上的Embed
,同时确保文档Embedded Document
是变量的总和。 total_value
的数量:Embedded
的
任何帮助表示赞赏。