.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/plot/plot_wine.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_plot_plot_wine.py: Wine Classification Dataset Visualization ========================================== .. GENERATED FROM PYTHON SOURCE LINES 5-16 .. rst-class:: sphx-glr-horizontal * .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_wine_001.png :alt: Target distribution :srcset: /auto_examples/plot/images/sphx_glr_plot_wine_001.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_wine_002.png :alt: F=2.34E+02, F=2.08E+02, F=1.90E+02, F=1.35E+02, F=1.21E+02, F=1.01E+02, F=9.37E+01, F=3.69E+01, F=3.58E+01, F=3.03E+01, F=2.76E+01, F=1.33E+01, F=1.24E+01 :srcset: /auto_examples/plot/images/sphx_glr_plot_wine_002.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_wine_003.png :alt: Top feature interactions, 0.968, 0.952, 0.941, 0.937 :srcset: /auto_examples/plot/images/sphx_glr_plot_wine_003.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_wine_004.png :alt: Discriminating PCA directions, 0.952, 0.924, 0.884, Scree plot (PCA explained variance) :srcset: /auto_examples/plot/images/sphx_glr_plot_wine_004.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_wine_005.png :alt: Discriminating LDA directions, 1.000 :srcset: /auto_examples/plot/images/sphx_glr_plot_wine_005.png :class: sphx-glr-multi-img .. rst-class:: sphx-glr-script-out .. code-block:: none /home/circleci/project/dabl/preprocessing.py:172: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime(series[:10]) Target looks like classification /home/circleci/project/~/miniconda/envs/testenv/lib/python3.11/site-packages/seaborn/categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning. grouped_vals = vals.groupby(grouper) /home/circleci/project/dabl/plot/utils.py:607: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning. for name, group in data.groupby(target)[column]: Linear Discriminant Analysis training set score: 1.000 | .. code-block:: Python # 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_col='target') plt.show() .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 3.098 seconds) .. _sphx_glr_download_auto_examples_plot_plot_wine.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_wine.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_wine.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_