:orphan:
:html_theme.sidebar_secondary.remove:

.. This document is auto-generated by the altair-gallery extension. Do not modify directly.

.. _gallery_parallel_coordinates:


Parallel Coordinates
--------------------
A `Parallel Coordinates <https://en.wikipedia.org/wiki/Parallel_coordinates>`_
chart is a chart that lets you visualize the individual data points by drawing
a single line for each of them.
Such a chart can be created in Altair by first transforming the data into a
suitable representation.
This example shows a parallel coordinates chart with the Iris dataset.


.. altair-plot::
    :remove-code:
    



    import altair as alt
    from vega_datasets import data

    source = data.iris()

    alt.Chart(source).transform_window(
        index='count()'  
    ).transform_fold(
        ['petalLength', 'petalWidth', 'sepalLength', 'sepalWidth']
    ).mark_line().encode(
        x='key:N',
        y='value:Q',
        color='species:N',
        detail='index:N',
        opacity=alt.value(0.5)
    ).properties(width=500)


.. tab-set::

    .. tab-item:: Method syntax
        :sync: method

        .. code:: python



            import altair as alt
            from vega_datasets import data

            source = data.iris()

            alt.Chart(source, width=500).transform_window(
                index='count()'
            ).transform_fold(
                ['petalLength', 'petalWidth', 'sepalLength', 'sepalWidth']
            ).mark_line().encode(
                x='key:N',
                y='value:Q',
                color='species:N',
                detail='index:N',
                opacity=alt.value(0.5)
            )


    .. tab-item:: Attribute syntax
        :sync: attribute

        .. code:: python



            import altair as alt
            from vega_datasets import data

            source = data.iris()

            alt.Chart(source).transform_window(
                index='count()'  
            ).transform_fold(
                ['petalLength', 'petalWidth', 'sepalLength', 'sepalWidth']
            ).mark_line().encode(
                x='key:N',
                y='value:Q',
                color='species:N',
                detail='index:N',
                opacity=alt.value(0.5)
            ).properties(width=500)