.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_interactive_20newsgroups.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_plot_interactive_20newsgroups.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_interactive_20newsgroups.py:


Interactive 20 Newsgroups with Widget Configuration
---------------------------------------------------

Demonstrating interactive plotting with the 20 Newsgroups dataset and
the analyst widget configuration preset.

This example shows how to:
- Load data from Hugging Face datasets
- Use the 'analyst' preset widget configuration
- Work with text classification data

The 20 Newsgroups dataset is a classic text classification dataset
containing posts from 20 different newsgroups.

.. GENERATED FROM PYTHON SOURCE LINES 16-63




.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    This example requires the 'datasets' package from Hugging Face.
    Install with: pip install datasets

    Alternatively, you can load data manually from:
    https://huggingface.co/datasets/lmcinnes/20newsgroups_embedded






|

.. code-block:: Python


    import numpy as np
    import datamapplot


    # Note: This example requires the 'datasets' package from Hugging Face
    # Install with: pip install datasets
    try:
        from datasets import load_dataset

        # Load the pre-embedded 20 Newsgroups dataset from Hugging Face
        dataset = load_dataset("lmcinnes/20newsgroups_embedded", split="train")

        # Extract the data map (2D coordinates)
        data_map = np.array(dataset["datamap"])

        # Get newsgroup categories as labels
        labels = np.array(dataset["newsgroup"])

        # Get the text content for hover (truncated for display)
        hover_text = np.array(
            [text[:200] + "..." if len(text) > 200 else text for text in dataset["text"]]
        )

        # Create the interactive plot
        # Using legacy parameters for simplicity - these automatically create widgets
        plot = datamapplot.create_interactive_plot(
            data_map,
            labels,
            hover_text=hover_text,
            title="20 Newsgroups",
            sub_title="Classic text classification dataset",
            font_family="Roboto",
            enable_search=True,
            cluster_boundary_polygons=True,
            darkmode=True,
            inline_data=False,
            offline_data_prefix="newsgroups_gallery",
        )
        plot.save("20newsgroups.html")
        plot

    except ImportError:
        print("This example requires the 'datasets' package from Hugging Face.")
        print("Install with: pip install datasets")
        print("\nAlternatively, you can load data manually from:")
        print("https://huggingface.co/datasets/lmcinnes/20newsgroups_embedded")


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.001 seconds)


.. _sphx_glr_download_auto_examples_plot_interactive_20newsgroups.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_interactive_20newsgroups.ipynb <plot_interactive_20newsgroups.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_interactive_20newsgroups.py <plot_interactive_20newsgroups.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_interactive_20newsgroups.zip <plot_interactive_20newsgroups.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_