Represents the data portion of the current datapoint. It is the identity transform.

The identity transform is a placeholder for the “current datapoint”. It returns whatever is passed from the timeseries.

Suppose your timeseries has the following data:

[44, 18, 20, -35, 20.23]

The d transform will simply return your data unchanged:

[44, 18, 20, -35, 20.23]


The identity transform is perhaps the most used transform in all of pipescript. It is frequently used in comparisons and filters

For example, the transform d > 20 is a comparison - it checks whether the current datapoint, represented by the identity is greater than 20. The result of this transform would be:

[true, false, false, false, true]

This is frequently used in filters: where d > 20 would return

[44, 20.23]


The d transform accepts an optional argument. Sometimes, a datapoint isn’t just your data - it can be an object:

  { "hi": "hello", "foo": "bar" },
  { "hi": "world", "foo": "baz" }

Running this transform:


gives us:

["hello", "world"]


If given an integer index, the \d transform performs a peek operation - instead of returning the current datapoint, it returns the one at a relative index. For example, you can find the differences between the data of each successive datapoint with the following:

d[1] - d
[-26, 2, -55, 55.23]

Currently, you can only peek forward in the timeseries (i.e. look at future datapoints).

Transform Details

Input SchemaOutput Schema


1If it is given an integer, peeks to the relative index in array. If string, tries to get the object keyconst
 "oneOf": [
   "type": "string"
   "type": "integer"