

In [1]:

    
%matplotlib inline
from ggplot import *

scale_color_brewer applies color palettes to discrete color variables in your ggplots. It has 2 parameters:

type - type of palette to use ('diverging/div', 'qualitative/qual', 'sequential/seq')
palette - palette number



In [2]:

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









    












    Out[2]:





<ggplot: (284441529)>



In [3]:

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









    












    Out[3]:





<ggplot: (285303209)>



In [4]:

    
ggplot(mtcars, aes(x='wt', y='mpg', color='factor(cyl)')) + \
    geom_point() + \
    scale_color_brewer(type='div')









    












    Out[4]:





<ggplot: (285330073)>



In [5]:

    
ggplot(mtcars, aes(x='wt', y='mpg', color='factor(cyl)')) + \
    geom_point() + \
    scale_color_brewer(type='div', palette=4)









    












    Out[5]:





<ggplot: (284723677)>



In [6]:

    
ggplot(mtcars, aes(x='wt', y='mpg', color='factor(cyl)')) + \
    geom_point() + \
    scale_color_brewer(type='seq', palette=2)









    












    Out[6]:





<ggplot: (285179185)>



In [7]:

    
ggplot(mtcars, aes(x='wt', y='mpg', color='factor(cyl)')) + \
    geom_point() + \
    scale_color_brewer(type='qual')









    












    Out[7]:





<ggplot: (285608533)>



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