DATASET ADD COLUMN BY REGEXP

Adds a new column to a dataset by extracting values from an existing column using a regular expression with capture groups. The matched substring (at the specified capture-group index) is stored in the new column for every row. Use this worker when you need to parse structured text embedded in a column — e.g., extracting a numeric dimension from a filename or label string.

When to use

Classification: process.

Tagged: add_column, capture_group, dataset_transform, extract, regex, regexp, string_parsing.

Inputs

Label ID Type Default Required Description
Choose Dataset dataset dataset —   Input dataset (tabular) whose rows will be processed; must contain the source column specified in ‘column_name’.
New Column Name new_column_name scalar —   Name of the new column that will be appended to the dataset to hold the regex-extracted values.
Column For Regex column_name scalar —   Name of the existing column in the dataset whose cell values will be searched with the regular expression.
Regular Expression regexp scalar —   Regular expression (with at least one capture group) applied to each cell; e.g., ‘(d+)_mm’ extracts the digit sequence immediately preceding ‘_mm’.
Choose Index index scalar 1   1-based index of the capture group whose match is written to the new column; defaults to 1 (first capture group).

Outputs

Label ID Type Description
dataset_add_column_by_regexp_output_1 dataset_add_column_by_regexp_output_1 dataset A copy of the input dataset with the new column appended, containing the regex-extracted substring for each row.

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_add_column_by_regexp


Auto-generated from transformation schema. Worker id: dataset_add_column_by_regexp. Schema hash: 94ca0fbc9be2. Hand-curated docs in workerexamples/ override this page when present.