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

# ## `Free` scales on a faceted plot

# In[1]:


import pandas as pd

from lets_plot import *
LetsPlot.setup_html()


# In[2]:


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


# In[3]:


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

# In[4]:


fp = p + ggsize(800, 500)


# #### `facet_grid()` with `fixed` scales (the default)
# 
# Scales are constant across all panels.

# In[5]:


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


# #### `facet_grid()` with `free` Y-scales

# In[6]:


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


# #### `facet_wrap()` with `fixed` scales (the default)
# 
# Scales are constant across all panels.

# In[7]:


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


# #### `facet_wrap()` with `free` scales along both axis

# In[8]:


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