docs-v2/content/flux/v0/stdlib/experimental/mode.md

title	description	menu	weight	flux/v0/tags	introduced
experimental.mode() function	`experimental.mode()` computes the mode or value that occurs most often in the `_value` column in each input table.	flux_v0_ref name parent identifier experimental.mode experimental experimental/mode	101	transformations aggregates	0.107.0

experimental.mode() computes the mode or value that occurs most often in the _value column in each input table.

experimental.mode only considers non-null values. If there are multiple modes, it returns all modes in a sorted table. If there is no mode, it returns null.

Supported types

• string
• float
• int
• uint
• bool
• time

Function type signature

(<-tables: stream[{A with _value: B}]) => stream[{A with _value: B}]

{{% caption %}} For more information, see Function type signatures. {{% /caption %}}

Parameters

tables

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

Examples

Compute the mode of input tables

import "experimental"
import "sampledata"

sampledata.int()
    |> experimental.mode()

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Input data

_time	_value	*tag
2021-01-01T00:00:00Z	-2	t1
2021-01-01T00:00:10Z	10	t1
2021-01-01T00:00:20Z	7	t1
2021-01-01T00:00:30Z	17	t1
2021-01-01T00:00:40Z	15	t1
2021-01-01T00:00:50Z	4	t1

_time	_value	*tag
2021-01-01T00:00:00Z	19	t2
2021-01-01T00:00:10Z	4	t2
2021-01-01T00:00:20Z	-3	t2
2021-01-01T00:00:30Z	19	t2
2021-01-01T00:00:40Z	13	t2
2021-01-01T00:00:50Z	1	t2

Output data

*tag	_value
t1

*tag	_value
t2	19

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