In [1]:

    

%matplotlib inline
from ggplot import *


    

In [2]:

    

ggplot(mpg, aes(x='class', y='hwy')) + geom_boxplot()


    

    
Out[2]:





<ggplot: (285179597)>






    

In [3]:

    

ggplot(mpg, aes(x='class', y='hwy')) + geom_boxplot() + facet_wrap('manufacturer')


    

    
Out[3]:





<ggplot: (285424437)>






    

In [4]:

    

ggplot(diamonds, aes(x='clarity', y='price')) + geom_boxplot()


    

    
Out[4]:





<ggplot: (291346969)>






    

In [5]:

    

ggplot(diamonds, aes(x='clarity', y='price')) + geom_boxplot(outliers=False)


    

    
Out[5]:





<ggplot: (294760929)>






    

In [6]:

    

ggplot(diamonds, aes(x='clarity', y='price')) + geom_boxplot(outliers=False, median=False)


    

    
Out[6]:





<ggplot: (295705261)>






    

In [7]:

    

ggplot(diamonds, aes(x='clarity', y='price')) + geom_boxplot(outliers=False, median=False, lines=False)


    

    
Out[7]:





<ggplot: (295776389)>






    

In [8]:

    

ggplot(diamonds, aes(x='clarity', y='price')) + geom_boxplot(outliers=False, notch=True)


    

    
Out[8]:





<ggplot: (296785973)>






    

In [10]:

    

ggplot(chopsticks, aes(x='individual', y='food_pinching_effeciency')) + geom_boxplot()


    

    
Out[10]:





<ggplot: (297378317)>






    

In [ ]: