docs-v2/content/flux/v0/stdlib/universe/cov.md

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---
title: cov() function
description: >
`cov()` computes the covariance between two streams of tables.
menu:
flux_v0_ref:
name: cov
parent: universe
identifier: universe/cov
weight: 101
flux/v0/tags: [transformations, aggregates]
introduced: 0.7.0
---
<!------------------------------------------------------------------------------
IMPORTANT: This page was generated from comments in the Flux source code. Any
edits made directly to this page will be overwritten the next time the
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To make updates to this documentation, update the function comments above the
function definition in the Flux source code:
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Contributing to Flux: https://github.com/influxdata/flux#contributing
Fluxdoc syntax: https://github.com/influxdata/flux/blob/master/docs/fluxdoc.md
------------------------------------------------------------------------------->
`cov()` computes the covariance between two streams of tables.
##### Function type signature
```js
(on: [string], x: A, y: B, ?pearsonr: bool) => stream[C] where C: Record
```
{{% caption %}}
For more information, see [Function type signatures](/flux/v0/function-type-signatures/).
{{% /caption %}}
## Parameters
### x
({{< req >}})
First input stream.
### y
({{< req >}})
Second input stream.
### on
({{< req >}})
List of columns to join on.
### pearsonr
Normalize results to the Pearson R coefficient. Default is `false`.
## Examples
### Return the covariance between two streams of tables
```js
import "generate"
stream1 =
generate.from(
count: 5,
fn: (n) => n * n,
start: 2021-01-01T00:00:00Z,
stop: 2021-01-01T00:01:00Z,
)
|> toFloat()
stream2 =
generate.from(
count: 5,
fn: (n) => n * n * n / 2,
start: 2021-01-01T00:00:00Z,
stop: 2021-01-01T00:01:00Z,
)
|> toFloat()
cov(x: stream1, y: stream2, on: ["_time"])
```
{{< expand-wrapper >}}
{{% expand "View example output" %}}
#### Output data
| _value |
| ------- |
| 87.75 |
{{% /expand %}}
{{< /expand-wrapper >}}