.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "examples/10-showcase-car_crashes.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_examples_10-showcase-car_crashes.py>`
        to download the full example code.

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

.. _sphx_glr_examples_10-showcase-car_crashes.py:


====================
Horizontal bar chart
====================

.. GENERATED FROM PYTHON SOURCE LINES 7-113



.. image-sg:: /examples/images/sphx_glr_10-showcase-car_crashes_001.png
   :alt: 10 showcase car crashes
   :srcset: /examples/images/sphx_glr_10-showcase-car_crashes_001.png
   :class: sphx-glr-single-img





.. code-block:: Python

    import numpy as np
    import seaborn as sns
    import matplotlib.pyplot as plt
    sns.set_theme(style="whitegrid")

    # Initialize the matplotlib figure
    fig, ax = plt.subplots(num=1, clear=True)

    # Load the example car crash dataset
    crashes = sns.load_dataset("car_crashes").sort_values("total", ascending=False).iloc[:10]

    # Plot the total crashes
    sns.set_color_codes("pastel")
    sns.barplot(x="total", y="abbrev", data=crashes,
                label="Total", color="b")

    # Plot the crashes where alcohol was involved
    sns.set_color_codes("muted")
    sns.barplot(x="alcohol", y="abbrev", data=crashes,
                label="Alcohol-involved", color="b")

    # Add a legend and informative axis label
    ax.legend(ncol=2, loc="lower right", frameon=True,
              bbox_to_anchor=[1, 1])
    ax.set(xlim=(0, 24.8),
           ylim=(9.6, -0.6),
           ylabel="",
           xlabel="Automobile collisions per billion miles")
    sns.despine(left=True, bottom=True)


    import mpl_visual_context.patheffects as pe
    from mpl_pe_fancy_bar import BarTransformBase, BarToRoundBar
    from matplotlib.path import Path

    from matplotlib.transforms import Affine2D
    from svgpath2mpl import parse_path
    s="M135.2 117.4L109.1 192H402.9l-26.1-74.6C372.3 104.6 360.2 96 346.6 96H165.4c-13.6 0-25.7 8.6-30.2 21.4zM39.6 196.8L74.8 96.3C88.3 57.8 124.6 32 165.4 32H346.6c40.8 0 77.1 25.8 90.6 64.3l35.2 100.5c23.2 9.6 39.6 32.5 39.6 59.2V400v48c0 17.7-14.3 32-32 32H448c-17.7 0-32-14.3-32-32V400H96v48c0 17.7-14.3 32-32 32H32c-17.7 0-32-14.3-32-32V400 256c0-26.7 16.4-49.6 39.6-59.2zM128 288a32 32 0 1 0 -64 0 32 32 0 1 0 64 0zm288 32a32 32 0 1 0 0-64 32 32 0 1 0 0 64z"
    icon = parse_path(s)

    class CustomBar(BarTransformBase):
        def __init__(self, radius=0.3, dh=0.5, orientation="vertical"):
            super().__init__(orientation)
            self._radius = radius
            self._dh = dh

        def _get_surface(self, h):
            v0 = Affine2D().rotate_deg(90).transform(icon.vertices / 512. - 0.5)
            vertices = v0 * self._radius + [0, h-self._dh]
            circle = Path(vertices=vertices, codes=icon.codes)
            return circle

    from mpl_visual_context.patheffects_shadow import ShadowPath

    cb1 = BarToRoundBar(orientation="horizontal", dh=0.5)
    cb2 = CustomBar(orientation="horizontal", radius=0.5, dh=0.6)
    shadow = ShadowPath(115, 3)
    pe1 = [
        cb1,
        cb1 | pe.ClipPathSelf() | shadow | pe.HLSModify(l="60%"),
        cb2 | shadow | pe.HLSModify(l="40%"),
        cb2 | pe.FillColor("w")
    ]
    for p in ax.containers[0]:
        p.set_path_effects(pe1)
    pe1 = [
        cb1 | pe.FillOnly(),
        cb2 | pe.FillColor("w")
    ]
    for p in ax.containers[1]:
        p.set_path_effects(pe1)

    from mpl_visual_context.axes_panel import InsetDivider
    from mpl_visual_context.axes_panel import add_panel

    divider = InsetDivider(ax)

    panel = add_panel(divider, "left", "ticklabels", pad=0.0, path_effects=[])
    for sp in panel.spines.values():
        sp.set_visible(False)

    fc = "gold"
    fig.patch.set_fc(fc)
    ax.patch.set_fc(fc)
    panel.patch.set_visible(False)

    from mpl_visual_context.legend_helper import (
        extract_offset_boxes_from_legend,
    )
    from matplotlib.offsetbox import HPacker
    from matplotlib.offsetbox import AnchoredOffsetbox

    leg_title, oblist = extract_offset_boxes_from_legend(ax.legend_)

    pack = HPacker(pad=0.0, sep=10, children=oblist)
    box = AnchoredOffsetbox("center", child=pack, pad=0, frameon=False)

    legend_panel = add_panel(divider, "top", "empty", pad=0.0)
    legend_panel.add_artist(box)
    legend_panel.add_to_extent_list(box)
    legend_panel.grid(False)

    ax.legend_.remove()


    plt.show()


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

   **Total running time of the script:** (0 minutes 1.269 seconds)


.. _sphx_glr_download_examples_10-showcase-car_crashes.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: 10-showcase-car_crashes.ipynb <10-showcase-car_crashes.ipynb>`

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

      :download:`Download Python source code: 10-showcase-car_crashes.py <10-showcase-car_crashes.py>`

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

      :download:`Download zipped: 10-showcase-car_crashes.zip <10-showcase-car_crashes.zip>`


.. only:: html

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

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