

In [1]:

    
%matplotlib inline
from ggplot import *
import pandas as pd

`scale_fill_yhat`



In [2]:

    
ggplot(mtcars, aes(x='factor(cyl)', fill='factor(vs)')) + geom_bar() + scale_fill_yhat()









    Out[2]:





<ggplot: (284480929)>



In [3]:

    
ggplot(mtcars, aes(x='factor(cyl)', fill='factor(gear)')) + geom_bar() + scale_fill_yhat()









    Out[3]:





<ggplot: (285321285)>



In [5]:

    
ggplot(diamonds, aes(x='clarity', fill='cut')) + geom_bar() + scale_fill_yhat()









    Out[5]:





<ggplot: (284886673)>



In [6]:

    
ggplot(diamonds, aes(x='pd.cut(price, nbins=10)', fill='cut')) + geom_bar() + scale_fill_yhat()









    Out[6]:





<ggplot: (285929557)>



In [ ]: