Use sharex, sharey parameters in the gggrid() function to control sharing of axis scale limits among plots in grid:

"all" or True - share limits between all subplots
"none" or False - do not share limits between subplots
"row" - share limits between subplots in the same row
"col" - share limits between subplots in the same column

In [1]:

from lets_plot import *
import numpy as np

In [2]:

LetsPlot.setup_html()

In [3]:

np.random.seed(37)
dat1 = {'x': np.random.normal(size=1000)}
dat2 = {'x': np.random.normal(size=200)}

p1 = ggplot(dat1, aes(x='x')) + geom_histogram()
p2 = ggplot(dat2, aes(x='x')) + geom_histogram()

1. Two Independent Charts in Grid¶

In [4]:

gggrid([p1, p2])

Out[4]:

In [5]:

gggrid([p1, p2], sharey=True)

Out[5]:

In [6]:

gggrid([p1, p2], sharex=True, sharey=True)

Out[6]:

Sharing X,Y-axis Scale Limits¶

1. Two Independent Charts in Grid¶

2. Share Scale Limits of the Y-axis¶

3. Share Scale Limits of both, X and Y-axis¶