.. _auto_dataset_create_empty: *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 ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - 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 ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - 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 `_ .. raw:: html

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