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

.. _gallery_seattle_weather_interactive:


Seattle Weather Interactive
===========================
This chart provides an interactive exploration of Seattle weather over the
course of the year. It includes a one-axis brush selection to easily
see the distribution of weather types in a particular date range.


.. altair-plot::
    :code-below:

    
    import altair as alt
    from vega_datasets import data

    source = data.seattle_weather()

    scale = alt.Scale(domain=['sun', 'fog', 'drizzle', 'rain', 'snow'],
                      range=['#e7ba52', '#a7a7a7', '#aec7e8', '#1f77b4', '#9467bd'])
    color = alt.Color('weather:N', scale=scale)

    # We create two selections:
    # - a brush that is active on the top panel
    # - a multi-click that is active on the bottom panel
    brush = alt.selection_interval(encodings=['x'])
    click = alt.selection_multi(encodings=['color'])

    # Top panel is scatter plot of temperature vs time
    points = alt.Chart().mark_point().encode(
        alt.X('monthdate(date):T', title='Date'),
        alt.Y('temp_max:Q',
            title='Maximum Daily Temperature (C)',
            scale=alt.Scale(domain=[-5, 40])
        ),
        color=alt.condition(brush, color, alt.value('lightgray')),
        size=alt.Size('precipitation:Q', scale=alt.Scale(range=[5, 200]))
    ).properties(
        width=550,
        height=300
    ).add_selection(
        brush
    ).transform_filter(
        click
    )

    # Bottom panel is a bar chart of weather type
    bars = alt.Chart().mark_bar().encode(
        x='count()',
        y='weather:N',
        color=alt.condition(click, color, alt.value('lightgray')),
    ).transform_filter(
        brush
    ).properties(
        width=550,
    ).add_selection(
        click
    )

    alt.vconcat(
        points,
        bars,
        data=source,
        title="Seattle Weather: 2012-2015"
    )


.. toctree::
   :hidden: