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 isnull
. - 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
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)
Calculate a three point moving average with null values
import "sampledata"
sampledata.int(includeNull: true)
|> movingAverage(n: 3)
Was this page helpful?
Thank you for your feedback!
Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for Flux and this documentation. To find support, use the following resources:
Customers with an annual or support contract can contact InfluxData Support.