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---
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title: Flux interpolate package
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list_title: Interpolate package
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description: >
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The Flux `interpolate` package provides functions that insert rows for missing
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data at regular intervals and estimate values using different interpolation methods.
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Import the `interpolate` package.
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menu:
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influxdb_cloud_ref:
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name: Interpolate
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parent: Flux standard library
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weight: 202
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---
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{{< duplicate-oss >}}
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---
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title: interpolate.linear() function
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description: >
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The `interpolate.linear` function inserts rows at regular intervals using
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**linear interpolation** to determine values for inserted rows.
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menu:
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influxdb_cloud_ref:
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name: interpolate.linear
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parent: Interpolate
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weight: 301
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introduced: 0.87.0
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list_query_example: interpolate_linear
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---
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{{< duplicate-oss >}}
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---
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title: Flux interpolate package
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list_title: Interpolate package
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description: >
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The Flux `interpolate` package provides functions that insert rows for missing
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data at regular intervals and estimate values using different interpolation methods.
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Import the `interpolate` package.
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menu:
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influxdb_2_0_ref:
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name: Interpolate
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parent: Flux standard library
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weight: 202
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---
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The `interpolate` package provides functions that insert rows for missing
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data at regular intervals and estimate values using different interpolation methods.
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Import the `interpolate` package:
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```js
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import "interpolate"
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```
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{{< children type="articles" show="pages" >}}
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@ -0,0 +1,71 @@
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---
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title: interpolate.linear() function
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description: >
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The `interpolate.linear` function inserts rows at regular intervals using
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**linear interpolation** to determine values for inserted rows.
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menu:
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influxdb_2_0_ref:
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name: interpolate.linear
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parent: Interpolate
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weight: 301
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introduced: 0.87.0
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list_query_example: interpolate_linear
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---
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The `interpolate.linear` function inserts rows at regular intervals using
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[linear interpolation](https://en.wikipedia.org/wiki/Linear_interpolation)
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to determine values for inserted rows.
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```js
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import "interpolate"
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interpolate.linear(every: 1m)
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```
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#### Function requirements
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- Input data must have `_time` and `_value` columns.
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- **All columns** other than `_time` and `_value` must be part of the group key.
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## Parameters
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### every
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Duration of time between interpolated points.
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_**Data type:** Duration_
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## Examples
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### Interpolate missing data by day
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```js
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import "interpolate"
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data
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|> interpolate.linear(every: 1d)
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```
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{{< flex >}}
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{{% flex-content %}}
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##### Input
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| _time | _value |
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|:----- | ------:|
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| 2021-01-01T00:00:00Z | 10.0 |
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| 2021-01-02T00:00:00Z | 20.0 |
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| 2021-01-04T00:00:00Z | 40.0 |
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| 2021-01-05T00:00:00Z | 50.0 |
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| 2021-01-08T00:00:00Z | 80.0 |
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| 2021-01-09T00:00:00Z | 90.0 |
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{{% /flex-content %}}
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{{% flex-content %}}
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##### Output
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| _time | _value |
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|:----- | ------:|
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| 2021-01-01T00:00:00Z | 10.0 |
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| 2021-01-02T00:00:00Z | 20.0 |
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| 2021-01-04T00:00:00Z | 40.0 |
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| 2021-01-05T00:00:00Z | 50.0 |
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| 2021-01-06T00:00:00Z | 60.0 |
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| 2021-01-07T00:00:00Z | 70.0 |
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| 2021-01-08T00:00:00Z | 80.0 |
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| 2021-01-09T00:00:00Z | 90.0 |
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{{% /flex-content %}}
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{{< /flex >}}
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