| title |
description |
aliases |
menu |
weight |
related |
| movingAverage() function |
The `movingAverage()` function calculates the mean of values grouped into `n` number of points.
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| /v2.0/reference/flux/functions/built-in/transformations/aggregates/movingaverage/ |
| /v2.0/reference/flux/functions/built-in/transformations/movingaverage/ |
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| v2_0_ref |
| name |
parent |
| movingAverage |
built-in-transformations |
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|
402 |
| /v2.0/query-data/flux/moving-average/ |
| /v2.0/reference/flux/stdlib/built-in/transformations/timedmovingaverage/ |
| /v2.0/reference/flux/stdlib/built-in/transformations/exponentialmovingaverage/ |
| /v2.0/reference/flux/stdlib/built-in/transformations/doubleema/ |
| /v2.0/reference/flux/stdlib/built-in/transformations/tripleema/ |
| https://docs.influxdata.com/influxdb/latest/query_language/functions/#moving-average, InfluxQL MOVING_AVERAGE() |
|
The movingAverage() function calculates the mean of values in the _values column
grouped into n number of points.
Function type: Transformation
movingAverage(n: 5)
Moving average rules
- The average over a period populated by
n values is equal to their algebraic mean.
- The average over a period populated by only
null values is null.
- Moving averages skip
null values.
- If
n is less than the number of records in a table, movingAverage returns
the average of the available values.
Parameters
n
The number of points to average.
Data type: Integer
Examples
Calculate a five point moving average
from(bucket: "example-bucket"):
|> range(start: -12h)
|> movingAverage(n: 5)
Table transformation with a two point moving average
Input table:
| _time |
tag |
_value |
| 0001 |
tv |
null |
| 0002 |
tv |
6 |
| 0003 |
tv |
4 |
Query:
// ...
|> movingAverage(n: 2 )
Output table:
| _time |
tag |
_value |
| 0002 |
tv |
6 |
| 0003 |
tv |
5 |