Set different Y-axis scale/range for each row

Is it possible to define or auto-set different y-axis ranges for different rows ? For instance, in the trellis_bar example, I would like to display a y-axis range that would better capture the data range.

In the default implementation (code below), the y-axis is set as the maximum range of all the rows, which in this case all the rows range between ymin=0 and ymax=80.

from altair import *

Chart('https://vega.github.io/vega-lite/data/cars.json').mark_bar().encode(
    row='Origin:N',
    x=X('Horsepower:Q',
        bin=Bin(
            maxbins=15.0,
        ),
    ),
    y='count(*):Q',
)

Is there any way to change the display for each row? I would prefer a “zoomed” range for each row like : row 1 : [0,40] row 2: [0,50] row 3: [0,80]

[mkudija]

Thanks @jimmywan!

Below are two quick examples of setting independent x- and y- axes for anyone who may stumble upon this in the future:

Independent X-Axis

import altair as alt
from vega_datasets import data
alt.data_transformers.enable('json')

cars = data.cars()

c=alt.Chart(cars).mark_point().encode(
    x='Horsepower',
    y='Miles_per_Gallon',
    color='Cylinders:O'
).properties(
    title='Independent-X',
    width=300,
    height=150,
).facet(
    row='Origin',
).resolve_scale(
    x='independent'
)

Independent Y-Axis

import altair as alt
from vega_datasets import data
alt.data_transformers.enable('json')

cars = data.cars()

c=alt.Chart(cars).mark_point().encode(
    x='Horsepower',
    y='Miles_per_Gallon',
    color='Cylinders:O'
).properties(
    title='Independent-Y',
    width=300,
    height=150,
).facet(
    column='Origin',
).resolve_scale(
    y='independent'
)

[jakevdp]

In Altair you can do this with the resolve_scale method; e.g. chart.resolve_scale(axis='independent')