Calculate the moving average

This page documents an earlier version of InfluxDB. InfluxDB v2.2 is the latest stable version. View this page in the v2.2 documentation.

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

  |> movingAverage(n: 5)

// OR

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


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


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:


Given the following input:

_time _value
2020-01-01T00:00:00Z 1.0
2020-01-01T00:30:00Z 1.2
2020-01-01T01:00:00Z 1.8
2020-01-01T01:30:00Z 0.9
2020-01-01T02:00:00Z 1.4
2020-01-01T02:30:00Z 2.0
2020-01-01T03:00:00Z 1.9

The following would return:

|> timedMovingAverage(
  every: 30m,
  period: 1h
_time _value
2020-01-01T00:30:00Z 1.0
2020-01-01T01:00:00Z 1.1
2020-01-01T01:30:00Z 1.5
2020-01-01T02:00:00Z 1.35
2020-01-01T02:30:00Z 1.15
2020-01-01T03:00:00Z 1.7
2020-01-01T03:00:00Z 2

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