.. _auto_dataset_drop_columns:

*DATASET DROP COLUMNS*
======================

Removes one or more columns from a dataset by name or regex pattern. Use this worker to clean up unwanted or redundant columns before downstream processing or model training.

When to use
-----------

Classification: **process**.

Tagged: ``column_removal``, ``dataset_cleaning``, ``drop_columns``, ``transformation``.

Inputs
------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20 20 20

   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - Dataset
     - dataset_1
     - dataset
     - —
     - 
     - Input dataset from which columns will be dropped; accepts any tabular dataset available in the workflow.
   * - CSV Column Names
     - column_names_regex
     - scalar
     - —
     - 
     - Comma-separated list of column names or regex patterns identifying the columns to remove; can also be selected interactively from the dataset's column list.

Outputs
-------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20

   * - Label
     - ID
     - Type
     - Description
   * - dataset_drop_columns_output_1
     - dataset_drop_columns_output_1
     - dataset
     - Resulting dataset with the specified columns removed; all other columns and rows are preserved unchanged.

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_drop_columns <https://www.d3view.com/api/workflow/example?id=dataset_drop_columns>`_

.. raw:: html

   <hr style="margin-top:2em">
   <p style="font-size:11px;color:#888">
   Auto-generated from <code>transformation</code> schema. Worker id: <code>dataset_drop_columns</code>. Schema hash: <code>2bc9f50cc874</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>