.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_examples/matplotlib/plot_main08_table.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download__examples_matplotlib_plot_main08_table.py>`
        to download the full example code

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

.. _sphx_glr__examples_matplotlib_plot_main08_table.py:


08. ``plt.bar`` with ``plt.table``
----------------------------------

Plot bars and add a table to an Axes.

.. GENERATED FROM PYTHON SOURCE LINES 8-60



.. image-sg:: /_examples/matplotlib/images/sphx_glr_plot_main08_table_001.png
   :alt: Loss by Disaster
   :srcset: /_examples/matplotlib/images/sphx_glr_plot_main08_table_001.png
   :class: sphx-glr-single-img





.. code-block:: default
   :lineno-start: 9


    import numpy as np
    import matplotlib.pyplot as plt


    data = [[ 66386, 174296,  75131, 577908,  32015],
            [ 58230, 381139,  78045,  99308, 160454],
            [ 89135,  80552, 152558, 497981, 603535],
            [ 78415,  81858, 150656, 193263,  69638],
            [139361, 331509, 343164, 781380,  52269]]

    columns = ('Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
    rows = ['%d year' % x for x in (100, 50, 20, 10, 5)]

    values = np.arange(0, 2500, 500)
    value_increment = 1000

    # Get some pastel shades for the colors
    colors = plt.cm.BuPu(np.linspace(0, 0.5, len(rows)))
    n_rows = len(data)

    index = np.arange(len(columns)) + 0.3
    bar_width = 0.4

    # Initialize the vertical-offset for the stacked bar chart.
    y_offset = np.zeros(len(columns))

    # Plot bars and create text labels for the table
    cell_text = []
    for row in range(n_rows):
        plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors[row])
        y_offset = y_offset + data[row]
        cell_text.append(['%1.1f' % (x / 1000.0) for x in y_offset])
    # Reverse colors and text labels to display the last value at the top.
    colors = colors[::-1]
    cell_text.reverse()

    # Add a table at the bottom of the axes
    the_table = plt.table(cellText=cell_text,
                          rowLabels=rows,
                          rowColours=colors,
                          colLabels=columns,
                          loc='bottom')

    # Adjust layout to make room for the table:
    plt.subplots_adjust(left=0.2, bottom=0.2)

    plt.ylabel(f"Loss in ${value_increment}'s")
    plt.yticks(values * value_increment, ['%d' % val for val in values])
    plt.xticks([])
    plt.title('Loss by Disaster')

    plt.show()

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

   **Total running time of the script:** ( 0 minutes  0.132 seconds)


.. _sphx_glr_download__examples_matplotlib_plot_main08_table.py:


.. only :: html

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



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

     :download:`Download Python source code: plot_main08_table.py <plot_main08_table.py>`



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

     :download:`Download Jupyter notebook: plot_main08_table.ipynb <plot_main08_table.ipynb>`


.. only:: html

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

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