DATASET RENAME COLUMNS¶
Renames columns in a dataset using a visual mapper, a custom name-mapping definition, or both. Use this worker whenever column headers need to be standardised or relabelled before downstream processing.
When to use¶
Classification: process.
Tagged: columns, dataset, headers, mapping, relabel, rename, transform.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Choose Dataset | dataset_1 | dataset | — | Input dataset whose columns are to be renamed; connect any tabular dataset from an upstream worker. | |
| Choose Mapper | mapper_input | mapper | — | Visual mapper that maps existing column names (sourced from dataset_1) to new names; takes precedence for any columns it covers — leave unconnected if using custom_input exclusively. | |
| Custom Map Names | custom_input | textarea | — | JSON or key-value textarea defining additional or alternative old→new column name mappings (e.g. {“col_a”: “velocity”}); used together with or instead of mapper_input. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| dataset_rename_columns_output_1 | dataset_rename_columns_output_1 | dataset | Resulting dataset identical to the input but with column headers replaced according to the supplied mapper and/or custom mapping definitions. |
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_rename_columns
Auto-generated from transformation schema. Worker id: dataset_rename_columns. Schema hash: dae5e6a78ec8. Hand-curated docs in workerexamples/ override this page when present.