DATASET CREATE EMPTY

Creates a blank dataset with a specified number of rows and columns, filling every cell with a chosen initial value. Use this worker to scaffold an empty tabular structure before populating it downstream in a workflow.

When to use

Classification: process.

Tagged: blank, create_empty, dataset, initialize, scaffold, tabular.

Inputs

Label ID Type Default Required Description
Number Of Rows num_rows scalar   Integer number of rows to create in the empty dataset; leave unset to produce a zero-row (header-only) structure.
Number Of Columns num_cols scalar   Integer number of columns to create; leave unset to produce a dataset with no columns.
Col Prefix col_prefix scalar col_   String prefix used to auto-name each column (e.g. default ‘col_’ yields col_0, col_1, …); ignored when column names are supplied via CSV input.
Initial Value initial_value scalar 0   Scalar value (numeric or string) used to fill every cell in the dataset; defaults to 0.

Outputs

Label ID Type Description
Dataset dataset dataset Newly created empty dataset with the requested dimensions, auto-named columns, and every cell set to the specified initial value.

Disciplines

  • data.dataset.transform

Runnable example

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_create_empty


Auto-generated from transformation schema. Worker id: dataset_create_empty. Schema hash: f945df2537e4. Hand-curated docs in workerexamples/ override this page when present.