Calculate the moving average
This page documents an earlier version of InfluxDB OSS. InfluxDB 3 Core is the latest stable version.
Use movingAverage()
or timedMovingAverage()
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:
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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