This function returns the computed value of a data series within a time window or a given number of values, using one of the following aggregation methods: "mean", "sum", "min", "max", or "count".

The rolling function has the following syntax:

rolling(<variable>, <aggregation_method> , <type_of_range>, <range> , min periods = 2)



It shows the measurements of a sensor as a time series of data points that vary over time, also known as "dots", and is identified by a variable label.

variable label



Function where the elements of a time series are computed to return a single summary value.


type of range

Indicates whether a date range or a set number of elements are used to sample the time series.



A time window or a set of elements that will be computed by the function.

NOTE: The selected range for a "window" should be set in a way that evenly divide the next range. For example, if using minutes ("T"), whatever the number n is, it has to evenly divide an hour ("H"). Available values for minutes are: 1, 2, 3, 4, 5, 6, 10, 12, 15, 20, 30. Other values may render unexpected results. Same applies to other ranges.

Available data ranges:

positive Integer, fixed number of observations used for each window or a time range specified as follows:


Min periods

Number of values ​​needed to calculate the mobile aggregation, by default it is set in 2 which is the minimum required.

min_periods = n, where n is a positive integer.


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