experimental.mean() function
The experimental.mean() function is subject to change at any time.
By using this function, you accept the risks of experimental functions.
The 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 _value column.
experimental.mean() is an aggregate function.
import "experimental"
experimental.mean()
Parameters
tables
Input data.
Default is piped-forward data (<-).
Examples
import "experimental"
from(bucket:"example-bucket")
|> filter(fn: (r) =>
r._measurement == "example-measurement" and
r._field == "example-field")
|> range(start:-1h)
|> experimental.mean()
Support and feedback
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