DATASET DIGITIZE COLUMN¶
Resamples a single dataset column to a fixed number of evenly-spaced points using digitization (linear interpolation). Use this worker to normalise column length before curve comparison, machine-learning ingestion, or any operation that requires uniform point counts.
When to use¶
Classification: process.
Tagged: column, dataset_transform, digitize, interpolation, resample, uniform_points.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Dataset | dataset_1 | dataset | — | Input dataset containing the column to be digitized; must be a tabular dataset with at least the target column present. | |
| Column Name | column_name | scalar | — | Name of the column in dataset_1 to digitize; must match an existing column header exactly — populated dynamically from the connected dataset. | |
| Digitize Points | num_points | scalar | 100 | Number of evenly-spaced output points to resample the column to (integer, default 100); increase for higher resolution, decrease for coarser representations. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| dataset_digitize_column_output_1 | dataset_digitize_column_output_1 | dataset | Output dataset identical in structure to the input but with the selected column resampled to the specified number of uniformly-spaced points. |
Disciplines¶
- data.curve.transform
- data.dataset.transform
- data.signal_processing
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_digitize_column
Auto-generated from transformation schema. Worker id: dataset_digitize_column. Schema hash: c5edd6334ffb. Hand-curated docs in workerexamples/ override this page when present.