#!/usr/bin/env python
# coding: utf-8

# # Sharing X,Y-axis Scale Limits
# 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])


# #### 2. Share Scale Limits of the Y-axis

# In[5]:


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


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

# In[6]:


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