

In [1]:

    
%matplotlib inline
from ggplot import *

`facet_wrap`

Parameters

first facet
second facet (optional)
nrow- number of rows
ncol- number of columns
scales ("fixed" (default), "free", "free_x", "free_y")



In [2]:

    
ggplot(diamonds, aes(x='price')) + \
    geom_histogram() + \
    facet_wrap("cut")









    












    Out[2]:





<ggplot: (284490157)>



In [3]:

    
ggplot(diamonds, aes(x='price')) + \
    geom_histogram() + \
    facet_wrap("cut", "clarity")









    












    Out[3]:





<ggplot: (289787665)>



In [4]:

    
chopsticks.head()









    Out[4]:






  
    
      
      food_pinching_effeciency
      individual
      chopstick_length
    
  
  
    
      0
      19.55
      1
      180
    
    
      1
      27.24
      2
      180
    
    
      2
      28.76
      3
      180
    
    
      3
      31.19
      4
      180
    
    
      4
      21.91
      5
      180



In [5]:

    
ggplot(chopsticks, aes(x='chopstick_length', y='food_pinching_effeciency')) + \
    geom_point() + \
    facet_wrap("individual")









    












    Out[5]:





<ggplot: (294345713)>



In [6]:

    
ggplot(chopsticks, aes(x='chopstick_length', y='food_pinching_effeciency')) + \
    geom_point() + \
    facet_wrap("individual", nrow=10)









    












    Out[6]:





<ggplot: (298127329)>



In [7]:

    
ggplot(chopsticks, aes(x='chopstick_length', y='food_pinching_effeciency')) + \
    geom_point() + \
    facet_wrap("individual", ncol=10)









    












    Out[7]:





<ggplot: (298857345)>



In [8]:

    
ggplot(chopsticks, aes(x='chopstick_length', y='food_pinching_effeciency')) + \
    geom_point() + \
    geom_line() + \
    facet_wrap("individual")









    












    Out[8]:





<ggplot: (303504997)>



In [9]:

    
ggplot(chopsticks, aes(x='chopstick_length', y='food_pinching_effeciency')) + \
    geom_point() + \
    geom_line() + \
    scale_x_continuous(breaks=[150, 250, 350]) + \
    facet_wrap("individual")









    












    Out[9]:





<ggplot: (311072353)>



In [ ]: