In [1]:

    

from ggplot import *
%matplotlib inline


    

In [2]:

    

ggplot(mtcars, aes(x='wt', y='mpg')) + geom_point()


    

    
Out[2]:





<ggplot: (270692597)>






    

In [3]:

    

ggplot(mtcars, aes(x='wt', y='mpg', color='cyl')) + geom_point()


    

    
Out[3]:





<ggplot: (270692389)>






    

In [4]:

    

ggplot(mtcars, aes(x='wt', y='mpg', shape='factor(cyl)')) + geom_point()


    

    
Out[4]:





<ggplot: (288552509)>






    

In [5]:

    

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


    

    
Out[5]:





<ggplot: (288322773)>






    

In [6]:

    

ggplot(diamonds, aes(x='carat', y='price')) + geom_point(color='steelblue')


    

    
Out[6]:





<ggplot: (288424913)>






    

In [7]:

    

ggplot(diamonds, aes(x='carat', y='price')) + geom_point(alpha=1/100.)


    

    
Out[7]:





<ggplot: (289115305)>






    

In [8]:

    

ggplot(diamonds, aes(x='carat', y='price')) + geom_point(alpha=1/100.) + stat_smooth()


    

    
Out[8]:





<ggplot: (288827973)>






    

In [10]:

    

ggplot(mpg, aes(x='year', y='hwy', color='class')) + geom_point()


    

    
Out[10]:





<ggplot: (296611705)>






    

In [12]:

    

ggplot(mpg, aes(x='cty', y='hwy', color='class')) + geom_point()


    

    
Out[12]:





<ggplot: (288707325)>






    

In [ ]:

    

ggplot(mpg, aes(x='cty', y='hwy', color='class')) + geom_point()