Documentation

interpolate.linear() function

interpolate.linear() inserts rows at regular intervals using linear interpolation to determine values for inserted rows.

Function requirements

  • Input data must have _time and _value columns.
  • All columns other than _time and _value must be part of the group key.
Function type signature
(<-tables: stream[{A with _value: float, _time: time}], every: duration) => stream[{A with _value: float, _time: time}]

For more information, see Function type signatures.

Parameters

every

(Required) Duration of time between interpolated points.

tables

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

Examples

Interpolate missing data by day

import "interpolate"

data
    |> interpolate.linear(every: 1d)

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: