transposenode properties | IBM Cloud Pak for Data as a Service

transposenode properties

Last updated: Feb 11, 2025

transposenode properties

Transpose node icon The Transpose node swaps the data in rows and columns so that records become fields and fields become records.

Example

node = stream.create("transpose", "My node")
node.setPropertyValue("transposed_names", "Read")
node.setPropertyValue("read_from_field", "TimeLabel")
node.setPropertyValue("max_num_fields", "1000")
node.setPropertyValue("id_field_name", "ID")

Table 1. transposenode properties
`transposenode` properties	Data type	Property description
`transpose_method`	enum	Specifies the transpose method: Normal (`normal`), CASE to VAR (`casetovar`), or VAR to CASE (`vartocase`).
`transposed_names`	`Prefix` `Read`	Property for the Normal transpose method. New field names can be generated automatically based on a specified prefix, or they can be read from an existing field in the data.
`prefix`	string	Property for the Normal transpose method.
`num_new_fields`	integer	Property for the Normal transpose method. When using a prefix, specifies the maximum number of new fields to create.
`read_from_field`	field	Property for the Normal transpose method. Field from which names are read. This must be an instantiated field or an error will occur when the node is executed.
`max_num_fields`	integer	Property for the Normal transpose method. When reading names from a field, specifies an upper limit to avoid creating an inordinately large number of fields.
`transpose_type`	`Numeric` `String` `Custom`	Property for the Normal transpose method. By default, only continuous (numeric range) fields are transposed, but you can choose a custom subset of numeric fields or transpose all string fields instead.
`transpose_fields`	list	Property for the Normal transpose method. Specifies the fields to transpose when the `Custom` option is used.
`id_field_name`	field	Property for the Normal transpose method.
`transpose_casetovar_idfields`	field	Property for the CASE to VAR (`casetovar`) transpose method. Accepts multiple fields to be used as index fields. `field1 ... fieldN`
`transpose_casetovar_columnfields`	field	Property for the CASE to VAR (`casetovar`) transpose method. Accepts multiple fields to be used as column fields. `field1 ... fieldN`
`transpose_casetovar_valuefields`	field	Property for the CASE to VAR (`casetovar`) transpose method. Accepts multiple fields to be used as value fields. `field1 ... fieldN`
`transpose_vartocase_idfields`	field	Property for the VAR to CASE (`vartocase`) transpose method. Accepts multiple fields to be used as ID variable fields. `field1 ... fieldN`
`transpose_vartocase_valfields`	field	Property for the VAR to CASE (`vartocase`) transpose method. Accepts multiple fields to be used as value variable fields. `field1 ... fieldN`
`transpose_new_field_names`	array	New field names.
`transpose_casetovar_aggregatefunction`	`mean` `sum` `min` `max` `median` `count`	When there's more than one record for an index, you must aggregate the records into one. Use the Aggregate Function drop-down to specify how to aggregate the records using one of the aggregation functions.
`default_value_mode`	`Read` `Pass`	Set the default mode for all fields to `Read` or `Pass`. The import node passes fields by default, while the Type node reads values by default.

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