

In [1]:

    
%matplotlib inline
from ggplot import *

Building Faceted Plots

Facets allow you to visualize high-dimensional data quickly and (most of the time) easily. Faceting splits your data up into differnet subgroups based upon different variables.

We're going to be using the diamonds dataset in these examples. It might be helpful to refresh yourself with the dataset before jumping into the samples.



In [2]:

    
diamonds.head()



In [3]:

    
ggplot(diamonds, aes(x='carat', y='price')) + geom_point() + facet_grid('clarity')









    












    Out[3]:





<ggplot: (285190993)>



In [4]:

    
ggplot(diamonds, aes(x='carat', y='price')) + geom_point() + facet_grid(None, 'clarity')









    












    Out[4]:





<ggplot: (290016845)>



In [5]:

    
ggplot(diamonds, aes(x='carat', y='price')) + geom_point() + facet_wrap('clarity')









    












    Out[5]:





<ggplot: (290937069)>



In [6]:

    
ggplot(diamonds, aes(x='carat', y='price')) + geom_point() + facet_wrap('clarity', ncol=4)









    












    Out[6]:





<ggplot: (290596545)>



In [7]:

    
ggplot(diamonds, aes(x='carat', y='price')) + geom_point() + facet_wrap('clarity', 'cut')









    












    Out[7]:





<ggplot: (292466405)>



In [8]:

    
ggplot(diamonds, aes(x='carat', y='price', shape='cut', color='clarity')) + \
    geom_point() + \
    scale_color_brewer(type='qual') + \
    facet_grid('color')









    












    Out[8]:





<ggplot: (299533301)>



In [9]:

    
ggplot(diamonds, aes(x='carat', y='price', color='depth')) + \
    geom_point() + \
    scale_color_gradient(low='white', high='black') + \
    facet_grid('color', 'clarity')









    












    Out[9]:





<ggplot: (300301273)>



In [ ]:

	carat	cut	color	clarity	depth	table	price	x	y	z
0	0.23	Ideal	E	SI2	61.5	55.0	326	3.95	3.98	2.43
1	0.21	Premium	E	SI1	59.8	61.0	326	3.89	3.84	2.31
2	0.23	Good	E	VS1	56.9	65.0	327	4.05	4.07	2.31
3	0.29	Premium	I	VS2	62.4	58.0	334	4.20	4.23	2.63
4	0.31	Good	J	SI2	63.3	58.0	335	4.34	4.35	2.75