Dot Dash Plot

How to make the dot-dash plot presented in Edward Tufte’s Visual Display of Quantitative Information. Based on a JavaScript implementation by g3o2.

Method syntax

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)

Attribute syntax

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)
# No channel encoding options are specified in this chart
# so the code is the same as for the method-based syntax.