content/flux/v0/stdlib/experimental/spread.md
experimental.spread() returns the difference between the minimum and maximum values in the
_value column for each input table.
(<-tables: stream[{A with _value: B}]) => stream[{A with _value: B}] where B: Numeric
{{% caption %}} For more information, see Function type signatures. {{% /caption %}}
Input data. Default is piped-forward data (<-).
import "experimental"
import "sampledata"
sampledata.float()
|> experimental.spread()
{{< expand-wrapper >}} {{% expand "View example input and output" %}}
| _time | *tag | _value |
|---|---|---|
| 2021-01-01T00:00:00Z | t1 | -2.18 |
| 2021-01-01T00:00:10Z | t1 | 10.92 |
| 2021-01-01T00:00:20Z | t1 | 7.35 |
| 2021-01-01T00:00:30Z | t1 | 17.53 |
| 2021-01-01T00:00:40Z | t1 | 15.23 |
| 2021-01-01T00:00:50Z | t1 | 4.43 |
| _time | *tag | _value |
|---|---|---|
| 2021-01-01T00:00:00Z | t2 | 19.85 |
| 2021-01-01T00:00:10Z | t2 | 4.97 |
| 2021-01-01T00:00:20Z | t2 | -3.75 |
| 2021-01-01T00:00:30Z | t2 | 19.77 |
| 2021-01-01T00:00:40Z | t2 | 13.86 |
| 2021-01-01T00:00:50Z | t2 | 1.86 |
| *tag | _value |
|---|---|
| t1 | 19.71 |
| *tag | _value |
|---|---|
| t2 | 23.6 |
{{% /expand %}} {{< /expand-wrapper >}}