More agg functions
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@@ -61,6 +61,12 @@ func getAggFunc(agg string) timeseries.AggFunc {
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return timeseries.AggMax
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case "min":
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return timeseries.AggMin
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case "sum":
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return timeseries.AggSum
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case "median":
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return timeseries.AggMedian
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case "count":
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return timeseries.AggCount
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case "first":
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return timeseries.AggFirst
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case "last":
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@@ -75,14 +75,19 @@ func (ts TimeSeries) GroupBy(interval time.Duration, aggFunc AggFunc) TimeSeries
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}
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func AggAvg(points []TimePoint) *float64 {
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sum := AggSum(points)
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avg := *sum / float64(len(points))
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return &avg
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}
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func AggSum(points []TimePoint) *float64 {
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var sum float64 = 0
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for _, p := range points {
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if p.Value != nil {
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sum += *p.Value
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}
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}
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avg := sum / float64(len(points))
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return &avg
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return &sum
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}
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func AggMax(points []TimePoint) *float64 {
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@@ -113,6 +118,11 @@ func AggMin(points []TimePoint) *float64 {
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return min
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}
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func AggCount(points []TimePoint) *float64 {
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count := float64(len(points))
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return &count
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}
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func AggFirst(points []TimePoint) *float64 {
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return points[0].Value
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}
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@@ -121,6 +131,23 @@ func AggLast(points []TimePoint) *float64 {
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return points[len(points)-1].Value
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}
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func AggMedian(points []TimePoint) *float64 {
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values := make([]float64, 0)
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for _, p := range points {
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if p.Value != nil {
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values = append(values, *p.Value)
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}
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}
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if len(values) == 0 {
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return nil
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}
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values = sort.Float64Slice(values)
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medianIndex := int(math.Floor(float64(len(values)) / 2))
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median := values[medianIndex]
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return &median
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}
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// Aligns point's time stamps according to provided interval.
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func (ts TimeSeries) Align(interval time.Duration) TimeSeries {
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if interval <= 0 || ts.Len() < 2 {
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