experimental.spread() function
experimental.spread() is subject to change at any time.
By using this function, you accept the risks of experimental functions.
experimental.spread() returns the difference between the minimum and maximum values in the
_value column for each input table.
Function type signature
(<-tables: stream[{A with _value: B}]) => stream[{A with _value: B}] where B: Numeric
For more information, see Function type signatures.
Parameters
tables
Input data. Default is piped-forward data (<-).
Examples
Return the difference between minimum and maximum values
import "experimental"
import "sampledata"
sampledata.float()
|> experimental.spread()
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