:orphan:
:html_theme.sidebar_secondary.remove:

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

.. _gallery_scatter_with_rolling_mean:


Scatter Plot with Rolling Mean
------------------------------
A scatter plot with a rolling mean overlay. In this example a 30 day window
is used to calculate the mean of the maximum temperature around each date.


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



    import altair as alt
    from vega_datasets import data

    source = data.seattle_weather()

    line = alt.Chart(source).mark_line(
        color='red', 
        size=3
    ).transform_window(
        rolling_mean='mean(temp_max)',
        frame=[-15, 15]
    ).encode(
        x='date:T',
        y='rolling_mean:Q'
    )

    points = alt.Chart(source).mark_point().encode(
        x='date:T', 
        y=alt.Y('temp_max:Q', 
                axis=alt.Axis(title='Max Temp'))
    )

    points + line


.. tab-set::

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

        .. code:: python



            import altair as alt
            from vega_datasets import data

            source = data.seattle_weather()

            line = alt.Chart(source).mark_line(
                color='red', 
                size=3
            ).transform_window(
                rolling_mean='mean(temp_max)',
                frame=[-15, 15]
            ).encode(
                x='date:T',
                y='rolling_mean:Q'
            )

            points = alt.Chart(source).mark_point().encode(
                x='date:T',
                y=alt.Y('temp_max:Q').title('Max Temp')
            )

            points + line


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

        .. code:: python



            import altair as alt
            from vega_datasets import data

            source = data.seattle_weather()

            line = alt.Chart(source).mark_line(
                color='red', 
                size=3
            ).transform_window(
                rolling_mean='mean(temp_max)',
                frame=[-15, 15]
            ).encode(
                x='date:T',
                y='rolling_mean:Q'
            )

            points = alt.Chart(source).mark_point().encode(
                x='date:T', 
                y=alt.Y('temp_max:Q', 
                        axis=alt.Axis(title='Max Temp'))
            )

            points + line