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"""
Dot Dash Plot
=============
How to make the dot-dash plot presented in Edward Tufte's `Visual Display of Quantitative Information <https://www.edwardtufte.com/tufte/books_vdqi>`_. Based
on a JavaScript implementation by `g3o2 <https://bl.ocks.org/g3o2/bd4362574137061c243a2994ba648fb8>`_.
"""
# category: distributions
import altair as alt
from vega_datasets import data
source = data.cars()
# Configure the options common to all layers
brush = alt.selection_interval()
base = alt.Chart(source).add_params(brush)
# Configure the points
points = base.mark_point().encode(
x=alt.X('Miles_per_Gallon', title=''),
y=alt.Y('Horsepower', title=''),
color=alt.condition(brush, 'Origin', alt.value('grey'))
)
# Configure the ticks
tick_axis = alt.Axis(labels=False, domain=False, ticks=False)
x_ticks = base.mark_tick().encode(
alt.X('Miles_per_Gallon', axis=tick_axis),
alt.Y('Origin', title='', axis=tick_axis),
color=alt.condition(brush, 'Origin', alt.value('lightgrey'))
)
y_ticks = base.mark_tick().encode(
alt.X('Origin', title='', axis=tick_axis),
alt.Y('Horsepower', axis=tick_axis),
color=alt.condition(brush, 'Origin', alt.value('lightgrey'))
)
# Build the chart
y_ticks | (points & x_ticks)
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