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

    Click :ref:`here <sphx_glr_download_auto_examples_plot_plot_wine.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_plot_wine.py:


Wine Classification Dataset Visualization
==========================================



.. rst-class:: sphx-glr-horizontal


    *

      .. image:: /auto_examples/plot/images/sphx_glr_plot_wine_001.png
            :class: sphx-glr-multi-img

    *

      .. image:: /auto_examples/plot/images/sphx_glr_plot_wine_002.png
            :class: sphx-glr-multi-img

    *

      .. image:: /auto_examples/plot/images/sphx_glr_plot_wine_003.png
            :class: sphx-glr-multi-img

    *

      .. image:: /auto_examples/plot/images/sphx_glr_plot_wine_004.png
            :class: sphx-glr-multi-img

    *

      .. image:: /auto_examples/plot/images/sphx_glr_plot_wine_005.png
            :class: sphx-glr-multi-img


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

 Out:

 .. code-block:: none

    /home/circleci/project/dabl/plot/supervised.py:526: FutureWarning: The second positional argument of plot is a Series 'y'. If passing a column name, use a keyword.
      FutureWarning)
    Target looks like classification
    Linear Discriminant Analysis training set score: 1.000






|


.. code-block:: default

    # sphinx_gallery_thumbnail_number = 4
    import matplotlib.pyplot as plt
    from sklearn.datasets import load_wine
    from dabl import plot
    from dabl.utils import data_df_from_bunch

    wine_bunch = load_wine()
    wine_df = data_df_from_bunch(wine_bunch)

    plot(wine_df, 'target')
    plt.show()


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

   **Total running time of the script:** ( 0 minutes  2.847 seconds)


.. _sphx_glr_download_auto_examples_plot_plot_wine.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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