Calculate the moving average

Use the movingAverage() or timedMovingAverage() functions to return the moving average of data.

data
  |> movingAverage(n: 5)

// OR

data
  |> timedMovingAverage(every: 5m, period: 10m)

movingAverage()

For each row in a table, movingAverage() returns the average of the current value and previous values where n is the total number of values used to calculate the average.

If n = 3:

Row # Calculation
1 Insufficient number of rows
2 Insufficient number of rows
3 (Row1 + Row2 + Row3) / 3
4 (Row2 + Row3 + Row4) / 3
5 (Row3 + Row4 + Row5) / 3

Given the following input:

_time _value
2020-01-01T00:01:00Z 1.0
2020-01-01T00:02:00Z 1.2
2020-01-01T00:03:00Z 1.8
2020-01-01T00:04:00Z 0.9
2020-01-01T00:05:00Z 1.4
2020-01-01T00:06:00Z 2.0

The following would return:

|> movingAverage(n: 3)
_time _value
2020-01-01T00:03:00Z 1.33
2020-01-01T00:04:00Z 1.30
2020-01-01T00:05:00Z 1.36
2020-01-01T00:06:00Z 1.43

timedMovingAverage()

For each row in a table, timedMovingAverage() returns the average of the current value and all row values in the previous period (duration). It returns moving averages at a frequency defined by the every parameter.

Each color in the diagram below represents a period of time used to calculate an average and the time a point representing the average is returned. If every = 30m and period = 1h:

0:00 0:30 1:00 1:30 2:00 2:30 3:00 3:00 2:30 2:00 1:30 1:00 0:30

Given the following input:

_time _value
2020-01-01T00:01:00Z 1.0
2020-01-01T00:02:00Z 1.2
2020-01-01T00:03:00Z 1.8
2020-01-01T00:04:00Z 0.9
2020-01-01T00:05:00Z 1.4
2020-01-01T00:06:00Z 2.0

The following would return:

|> timedMovingAverage(
  every: 2m,
  period: 4m
)
_time _value
2020-01-01T00:02:00Z 1.000
2020-01-01T00:04:00Z 1.333
2020-01-01T00:06:00Z 1.325
2020-01-01T00:06:00Z 1.150

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