Question

我是MongoDb的新手，希望您对此查询有所帮助。我用基于日期字段获取最近5天的数据编写了以下汇总管道，但是一个小问题是所有数据都在问如何只获取5天的数据和任何用户的消耗总和。

df = pd.DataFrame(
    data=[
        ['01-01-2018', 'Jakob', 5, 10],
        ['01-01-2018', 'Adomas', 10, 20],
        ['01-01-2018', 'Thomas', 15, 30],
        ['01-02-2018', 'Jakob', 50, 30],
        ['01-02-2018', 'Adomas', 100, 40],
        ['01-02-2018', 'Thomas', 150, 65],
        ['01-03-2018', 'Jakob', 60, 30],
        ['01-03-2018', 'Adomas', 120, 45],
        ['01-03-2018', 'Thomas', 200, 75]
    ],
    columns=['Date', 'Sales rep', 'item A', 'item B']
)

cum_columns = ['item A', 'item B']

result = df.merge(
    df.groupby('Sales rep')[cum_columns].diff(),
    left_index=True, right_index=True, suffixes=['', '_uncum']
).fillna({'{}_uncum'.format(cum_column): df[cum_column] for cum_column in cum_columns})

print(result)
Out:
         Date Sales rep  item A  item B  item A_uncum  item B_uncum
0  01-01-2018     Jakob       5      10           5.0          10.0
1  01-01-2018    Adomas      10      20          10.0          20.0
2  01-01-2018    Thomas      15      30          15.0          30.0
3  01-02-2018     Jakob      50      30          45.0          20.0
4  01-02-2018    Adomas     100      40          90.0          20.0
5  01-02-2018    Thomas     150      65         135.0          35.0
6  01-03-2018     Jakob      60      30          10.0           0.0
7  01-03-2018    Adomas     120      45          20.0           5.0
8  01-03-2018    Thomas     200      75          50.0          10.0

这是我的数据集。

我用它来获取最近5天的数据。

    {
    "timeId" : ISODate("2018-09-10T16:40:08.817Z"),
    "vendor" : "CIMCON",
    "slcId" : "123450"
    "mongoStreetLightChildVo" : {
        "deviceType" : "L",
        "totalStreetLights" : 3.0,
        "totalConsumptionMtd" : "2"
        "mongoStreetLightChildVo1s" : [ 
            {
                "date" : ISODate("2018-09-01T16:40:08.817Z"),
                "consumption" : 27.0,
                "burnHours" : 24.0
            }, 
             {
                "date" : ISODate("2018-09-02T16:40:08.817Z"),
                "consumption" : 2.0,
                "burnHours" : 24.0
            }, 
             {
                "date" : ISODate("2018-09-03T16:40:08.817Z"),
                "consumption" : 287.0,
                "burnHours" : 20.0
            }, 
             {
                "date" : ISODate("2018-09-04T16:40:08.817Z"),
                "consumption" : 209.0,
                "burnHours" : 2.0
            }, 
             {
                "date" : ISODate("2018-09-05T16:40:08.817Z"),
                "consumption" : 243.0,
                "burnHours" : 4.0
            },
             {
                "date" : ISODate("2018-09-06T16:40:08.817Z"),
                "consumption" : 254.0,
                "burnHours" : 4.0
            }, 
             {
                "date" : ISODate("2018-09-07T16:40:08.817Z"),
                "consumption" : 235.0,
                "burnHours" : 24.0
            }, 
             {
                "date" : ISODate("2018-09-08T16:40:08.817Z"),
                "consumption" : 62.0,
                "burnHours" : 24.0
            }, 
             {
                "date" : ISODate("2018-09-09T16:40:08.817Z"),
                "consumption" : 2.0,
                "burnHours" : 23.0
            }, 
             {
                "date" : ISODate("2018-09-10T02:40:08.817Z"),
                "consumption" : 26.0,
                "burnHours" : 27.0
            }
        ]
    }
}

如何仅获取5天数据

我所需的输出是：

db.collection.aggregate([
{$match:{
    "mongoStreetLightChildVo.mongoStreetLightChildVo1s.date": 
    {
        $gte: new Date((new Date().getTime() - (5 * 24 * 60 * 60 * 1000)))
    }
}
},
{$project:{
   "mongoStreetLightChildVo.mongoStreetLightChildVo1s.date":1,
   "mongoStreetLightChildVo.mongoStreetLightChildVo1s.consumption":1


}}
])

如何获取所有字段的最近5天数据

0 个答案: