Documentation

timedMovingAverage() function

timedMovingAverage() returns the mean of values in a defined time range at a specified frequency.

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.

Aggregate by calendar months and years

every and period parameters support all valid duration units, including calendar months (1mo) and years (1y).

Aggregate by week

When aggregating by week (1w), weeks are determined using the Unix epoch (1970-01-01T00:00:00Z UTC). The Unix epoch was on a Thursday, so all calculated weeks begin on Thursday.

Function type signature
(<-tables: stream[A], every: duration, period: duration, ?column: string) => stream[B] where A: Record, B: Record

For more information, see Function type signatures.

Parameters

every

(Required) Frequency of time window.

period

(Required) Length of each averaged time window.

A negative duration indicates start and stop boundaries are reversed.

column

Column to operate on. Default is _value.

tables

Input data. Default is piped-forward data (<-).

Examples

Calculate a five year moving average every year

data
    |> timedMovingAverage(every: 1y, period: 5y)

View example input and output


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The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

For information about the future of Flux, see the following: