Reputation: 30518
I am trying to work out if the following can be done in a LINQ to Objects statement.
I have a dictionary with the key as a DateTime (keys are values that are on multiple days) and a double value. I have too much data to plot on a graph so would like to the average value of each 5 minutes.
Sample Input
01/01/2012 23:53 5
01/01/2012 23:54 2
01/01/2012 23:55 1
01/01/2012 23:56 3
01/01/2012 23:57 4
01/01/2012 23:58 5
01/01/2012 23:59 6
02/01/2012 00:00 2
02/01/2012 00:01 4
02/01/2012 00:02 5
Expected Output
01/01/2012 23:55 3
02/01/2012 00:00 4.4
Upvotes: 2
Views: 3075
Reputation: 5110
var data = new Dictionary<DateTime, double>();
data.Add(new DateTime(2012, 1, 1, 23, 53, 0), 5);
data.Add(new DateTime(2012, 1, 1, 23, 54, 0), 2);
data.Add(new DateTime(2012, 1, 1, 23, 55, 0), 1);
data.Add(new DateTime(2012, 1, 1, 23, 56, 0), 3);
data.Add(new DateTime(2012, 1, 1, 23, 57, 0), 4);
data.Add(new DateTime(2012, 1, 1, 23, 58, 0), 5);
data.Add(new DateTime(2012, 1, 1, 23, 59, 0), 6);
data.Add(new DateTime(2012, 1, 2, 0, 0, 0), 2);
data.Add(new DateTime(2012, 1, 2, 0, 1, 0), 4);
data.Add(new DateTime(2012, 1, 2, 0, 2, 0), 5);
var result = data.GroupBy(kvp =>
{
var dt = kvp.Key;
var nearest5 = (int)Math.Round(dt.Minute / 5.0) * 5;
//Add the minutes after inital date creation to deal with minutes=60
return new DateTime(dt.Year, dt.Month, dt.Day, dt.Hour, 0, 0).AddMinutes(nearest5);
})
.Select(g =>
{
return new KeyValuePair<DateTime, double>(g.Key, g.Average(row => row.Value));
});
foreach (var r in result)
{
Console.WriteLine(r.Key + " " + r.Value);
// 1/01/2012 11:55:00 PM 3
// 2/01/2012 12:00:00 AM 4.4
}
Upvotes: 0
Reputation: 101032
Using this helper method:
static DateTime RoundToNearestInterval(DateTime dt, TimeSpan d)
{
int f=0;
double m = (double)(dt.Ticks % d.Ticks) / d.Ticks;
if (m >= 0.5)
f=1;
return new DateTime(((dt.Ticks/ d.Ticks)+f) * d.Ticks);
}
it's as simple as
var result = from kvp in data
let key = RoundToNearestInterval(kvp.Key, TimeSpan.FromMinutes(5))
group kvp by key into g
select new { g.Key, Value = g.Average(x => x.Value) };
or
var result = data.GroupBy(kvp => RoundToNearestInterval(kvp.Key, TimeSpan.FromMinutes(5)), kvp => kvp.Value)
.Select(g => new { g.Key, Value = g.Average() });
LINQPad example:
void Main()
{
var tmp = new Dictionary<string, int>
{
{"01/01/2012 23:53", 5},
{"01/01/2012 23:54", 2},
{"01/01/2012 23:55", 1},
{"01/01/2012 23:56", 3},
{"01/01/2012 23:57", 4},
{"01/01/2012 23:58", 5},
{"01/01/2012 23:59", 6},
{"02/01/2012 00:00", 2},
{"02/01/2012 00:01", 4},
{"02/01/2012 00:02", 5}
};
var data = tmp.ToDictionary(d => DateTime.Parse(d.Key), d=>d.Value);
var result = from kvp in data
let key = RoundToNearestInterval(kvp.Key, TimeSpan.FromMinutes(5))
group kvp by key into g
select new {g.Key, Value = g.Average (x => x.Value) };
result.ToDictionary(r => r.Key, v => v.Value).Dump();
}
Upvotes: 7
Reputation: 117029
Try this:
var results =
data
.GroupBy(
x => (x.Key.Ticks / TimeSpan.TicksPerMinute + 2) / 5,
x => x.Value)
.Select(x => new
{
Key = new DateTime(x.Key * TimeSpan.TicksPerMinute * 5),
Value = x.Average()
});
Upvotes: 0
Reputation: 63317
Looks like your dictionary
contains the ordered
elements so we can do something like this:
var firstDate = yourDict.First().Key;
var output = yourDict.GroupBy(e=> (int)(e.Key - firstDate).TotalMinutes / 5)
.ToDictionary(g => g.First().Key
.AddMinutes(g.Average(e=>(e.Key - g.First().Key).TotalMinutes)),
g => g.Average(e=>e.Value));
NOTE: The input data of the OP uses a different cutlure than en-US
, the month goes after the day. That's the noticeable point to take some test. otherwise the test won't be correct.
Upvotes: 0
Reputation: 391286
Here's a LINQ query that will do what you want, you can test this in LINQPad:
void Main()
{
var points = new[]
{
new { dt = new DateTime(2012, 1, 1, 23, 53, 00), value = 5 },
new { dt = new DateTime(2012, 1, 1, 23, 54, 00), value = 2 },
new { dt = new DateTime(2012, 1, 1, 23, 55, 00), value = 1 },
new { dt = new DateTime(2012, 1, 1, 23, 56, 00), value = 3 },
new { dt = new DateTime(2012, 1, 1, 23, 57, 00), value = 4 },
new { dt = new DateTime(2012, 1, 1, 23, 58, 00), value = 5 },
new { dt = new DateTime(2012, 1, 1, 23, 59, 00), value = 6 },
new { dt = new DateTime(2012, 1, 2, 00, 00, 00), value = 2 },
new { dt = new DateTime(2012, 1, 2, 00, 01, 00), value = 4 },
new { dt = new DateTime(2012, 1, 2, 00, 01, 00), value = 5 }
};
var interval = TimeSpan.FromMinutes(5);
var averageByInterval =
from point in points
let intervalStart = new DateTime(((int)((point.dt.Ticks + interval.Ticks / 2) / interval.Ticks)) * interval.Ticks)
group point.value by intervalStart into g
select new { g.Key, average = g.Average() };
averageByInterval.Dump();
}
Output:
Upvotes: 0