In [1]:

    

from ggplot import *
%matplotlib inline


    

In [4]:

    

ggplot(mtcars, aes(x='wt', y='mpg')) + geom_point() + geom_hline(y=25)


    

    













    
Out[4]:





<ggplot: (288250901)>

In [5]:

    

ggplot(mtcars, aes(x='wt', y='mpg')) + \
    geom_point() + \
    geom_hline(y=[10, 35])


    

    













    
Out[5]:





<ggplot: (288532565)>

In [9]:

    

ggplot(mtcars, aes(x='wt', y='mpg')) + \
    geom_point() + \
    geom_hline(y=[10, 35], color='BurlyWood')


    

    













    
Out[9]:





<ggplot: (290365021)>

In [12]:

    

ggplot(mtcars, aes(x='wt', y='mpg')) + \
    geom_point() + \
    geom_hline(y=range(10, 40, 5), color='seagreen')


    

    













    
Out[12]:





<ggplot: (293595221)>

In [15]:

    

ggplot(diamonds, aes(x='price')) + \
    geom_histogram() + \
    geom_hline(y=10000, color='salmon') + \
    facet_wrap('cut')


    

    













    
Out[15]:





<ggplot: (296287009)>

In [20]:

    

ggplot(diamonds, aes(x='carat', y='price')) + \
    geom_point(alpha=1/100.) + \
    geom_hline(y=15000, color='Orchid') + \
    geom_vline(x=2, color='Orchid')


    

    













    
Out[20]:





<ggplot: (299586333)>

In [ ]: