Documentation

movingAverage() function

movingAverage() calculates the mean of non-null values using the current value and n - 1 previous values in the _values column.

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.
Function type signature
(<-tables: stream[{A with _value: B}], n: int) => stream[{A with _value: float}] where B: Numeric
  • Copy
  • Fill window

For more information, see Function type signatures.

Parameters

n

(Required) Number of values to average.

tables

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

Examples

Calculate a three point moving average

import "sampledata"

sampledata.int()
    |> movingAverage(n: 3)
  • Copy
  • Fill window

View example input and output

Calculate a three point moving average with null values

import "sampledata"

sampledata.int(includeNull: true)
    |> movingAverage(n: 3)
  • Copy
  • Fill window

View example input and output


Was this page helpful?

Thank you for your feedback!


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.

Read more

Now Generally Available

InfluxDB 3 Core and Enterprise

Start fast. Scale faster.

Get the Updates

InfluxDB 3 Core is an open source, high-speed, recent-data engine that collects and processes data in real-time and persists it to local disk or object storage. InfluxDB 3 Enterprise builds on Core’s foundation, adding high availability, read replicas, enhanced security, and data compaction for faster queries and optimized storage. A free tier of InfluxDB 3 Enterprise is available for non-commercial at-home or hobbyist use.

For more information, check out: