experimental.mean() function is subject to change at any time.
By using this function, you accept the risks of experimental functions.
experimental.mean() function computes the mean or average of non-null
values in the
_value column of each input table.
Output tables contain a single row the with the calculated mean in the
Function type: Aggregate
Output data type: Float
import "experimental" experimental.mean()
import "experimental" from(bucket:"example-bucket") |> filter(fn: (r) => r._measurement == "example-measurement" and r._field == "example-field") |> range(start:-1h) |> experimental.mean()
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