我的数据如下:
read_date | T1 | T2 |
15.02.2000 | 2 | 3 |
16.02.2000 | 4 | 5 |
15.03.2000 | 2 | 3 |
16.03.2000 | 5 | 4 |
我希望获得T1和T2的总和,如下所示:
read_date | T1 | T2 |
02.2000 | 6 | 8 |
03.2000 | 7 | 7 |
我尝试写这样的东西:
var result = from s in meter_readings.Take(10)
group s by new { s.read_date} into g
select new
{
read_date = g.Key.read_date,
T1 = g.Sum(x => x.T1),
T2 = g.Sum(x => x.T2)
};
但这并没有给出预期的数据。是否有任何例子可以提供每小时数据,每日总和等数据。
由于
答案 0 :(得分:18)
分组时,您应该只考虑年份和月份:
var result =
from s in meter_readings.Take(10)
group s by new { date = new DateTime(s.read_date.Year, s.read_date.Month, 1) } into g
select new
{
read_date = g.Key.date,
T1 = g.Sum(x => x.T1),
T2 = g.Sum(x => x.T2)
};
答案 1 :(得分:5)
首先,我认为你可以跳过匿名类型:
var result = from s in meter_readings.Take(10)
group s by s.read_date into g
select new
{
read_date = g.Key,
T1 = g.Sum(x => x.T1),
T2 = g.Sum(x => x.T2)
};
其次,要按月分组,请使用一些唯一标识月份的值,如下所示:
var result = from s in meter_readings.Take(10)
group s by s.read_date.ToString("yyyy.MM") into g
select new
{
read_month = g.Key,
T1 = g.Sum(x => x.T1),
T2 = g.Sum(x => x.T2)
};
答案 2 :(得分:0)
您当前的分组将按完整日期分组(即15.02.2000而不是02.2000)。这将最终为每一天创造一个单独的团体,而不是一个月。
将一个.Month添加到组中(假设它是一个日期对象):
group s by new { s.read_date.Month} into g
答案 3 :(得分:0)
static void Main()
{
var list = new List<meter_reading>
{
new meter_reading {Date = new DateTime(2000, 2, 15), T1 = 2, T2 = 3},
new meter_reading {Date = new DateTime(2000, 2, 10), T1 = 4, T2 = 5},
new meter_reading {Date = new DateTime(2000, 3, 15), T1 = 2, T2 = 3},
new meter_reading {Date = new DateTime(2000, 3, 15), T1 = 5, T2 = 4}
};
var sum = list
.GroupBy(x => GetFirstDayInMonth(x.Date))
.Select(item => new meter_reading
{
Date = item.Key,
T1 = item.Sum(x => x.T1),
T2 = item.Sum(x => x.T2),
}).ToList();
}
private static DateTime GetFirstDayInMonth(DateTime dateTime)
{
return new DateTime(dateTime.Date.Year, dateTime.Date.Month, 1);
}
答案 4 :(得分:0)
query.OrderBy(o => o.OrderDate)
.GroupBy(o => DbFunctions.CreateDateTime(o.OrderDate.Year, o.OrderDate.Month, 1, 0, 0, 0))
.Select(group => new DateIncomeDto { Date = group.Key.Value, Income = group.Sum(item => item.PayFee ?? 0) });
它对我有用!