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

.. only:: html

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

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

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

.. _sphx_glr_recipes_bar_chart_plot_clustered_bar_chart.py:


Clustered Bar Chart
---------------------------

Bar charts can be clustered by a categorical column while plotting values on a time-series for each "category".
This can be created by setting ``mode=clustered_bar`` in a ``series`` of the chart.

- Only 1 ``series`` can be plotted and it must set a ``pivot_column_name`` with ``include_all_categories=True``.
- The pivot column name is used to define each bar within a cluster. Typically, this will be a date-type column. These values will be stored in the ``customdata`` property of the trace.
- ``category_sort_column_name`` can define a sort order for bars within each cluster based on the values of that column.
- The clusters will share the same y-axis.
- It is recommended that a custom ``hovertemplate`` is used depending on the nature of chart to improve the hover experience for users. This can be provided to ``extra_options``.

.. GENERATED FROM PYTHON SOURCE LINES 15-46





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    </div>
    <br />
    <br />

.. code-block:: Python

    import pandas as pd

    from visualization_toolkit.helpers.plotly import chart, axis, series
    from visualization_toolkit.helpers.plotly.theme import ATLAS_THEME


    fig = chart(
        pdf,
        x_axis=axis(column_name="vendor", axis_type="category"),
        y1_axis=axis(label="Spend", axis_type="currency"),
        chart_series=[
            series(
                column_name="spend",
                label="Spend",
                mode="clustered_bar",
                pivot_column_name="month",
                category_sort_column_name="month",
                include_all_categories=True,
                extra_options={
                    "hovertemplate": (
                        """
                        <b>%{x}</b><br><span style='color: #9E9E9E;'>Month: </span>%{customdata[0]|%b %Y}<br><span style='color: #9E9E9E;'>Spend: </span>%{y}<br><extra></extra>
                        """
                    ).strip(),
                },
            ),
        ],
        theme=ATLAS_THEME,
    )

    fig


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

   **Total running time of the script:** (0 minutes 0.078 seconds)


.. _sphx_glr_download_recipes_bar_chart_plot_clustered_bar_chart.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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