Free scales on a faceted plot

import pandas as pd

from lets_plot import *
LetsPlot.setup_html()

data = pd.read_csv('https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg2.csv')
data.head(3)

	miles per gallon	number of cylinders	engine displacement (cu. inches)	engine horsepower	vehicle weight (lbs.)	time to accelerate (sec.)	model year	origin of car	vehicle name
0	18.0	8	307.0	130	3504	12.0	70	US	chevrolet chevelle malibu
1	15.0	8	350.0	165	3693	11.5	70	US	buick skylark 320
2	18.0	8	318.0	150	3436	11.0	70	US	plymouth satellite

p = (ggplot(data, aes(x="engine horsepower", y="engine displacement (cu. inches)")) + 
     geom_point(aes(color="origin of car")) + theme_grey())
p + ggsize(800, 350)

Faceted plot

fp = p + ggsize(800, 500)

facet_grid() with fixed scales (the default)

Scales are constant across all panels.

fp + facet_grid(y='origin of car')

facet_grid() with free Y-scales

fp + facet_grid(y='origin of car', scales='free_y')

facet_wrap() with fixed scales (the default)

Scales are constant across all panels.

fp + facet_wrap(facets="number of cylinders", order=1)

facet_wrap() with free scales along both axis

fp + facet_wrap(facets="number of cylinders", order=1, scales='free')