In [1]:

    

from ggplot import *
%matplotlib inline


    

In [2]:

    

pigeons.head()


    

    
Out[2]:






  

    

      

      
pos
      
breeder
      
pigeon
      
name
      
color
      
sex
      
ent
      
arrival
      
speed
      
to_win
      
eligible
    
  
  

    

      
0
      
1
      
Texas Outlaws
      
19633-AU15-FOYS
      
NaN
      
BCWF
      
H
      
1
      
42:14.0
      
172.155
      
0:00:00
      
Yes
    
    

      
1
      
2
      
Junior Juanich
      
0402-AU15-JRL
      
NaN
      
SIWF
      
H
      
1
      
47:36.0
      
163.569
      
0:05:21
      
Yes
    
    

      
2
      
3
      
Jerry Allensworth
      
0404-AU15-VITA
      
Perch Potato
      
BB
      
H
      
1
      
47:41.0
      
163.442
      
0:05:27
      
Yes
    
    

      
3
      
4
      
Alias-Alias
      
2013-AU15-ALIA
      
NaN
      
BBSP
      
H
      
1
      
47:43.0
      
163.392
      
0:05:28
      
Yes
    
    

      
4
      
5
      
Greg Glazier
      
5749-AU15-SLI
      
NaN
      
BC
      
H
      
1
      
47:44.0
      
163.366
      
0:05:30
      
Yes
    
  

In [3]:

    

ggplot(pigeons, aes(x='pos', y='speed')) + \
    geom_point() + \
    geom_abline()


    

    













    
Out[3]:





<ggplot: (270769573)>

In [4]:

    

ggplot(pigeons, aes(x='pos', y='speed')) + \
    geom_point() + \
    geom_abline(slope=-1)


    

    













    
Out[4]:





<ggplot: (288455725)>

In [5]:

    

ggplot(pigeons, aes(x='pos', y='speed')) + \
    geom_point() + \
    geom_abline(slope=(180.-80.)/(-100-400), color='DodgerBlue')


    

    













    
Out[5]:





<ggplot: (288638093)>

In [6]:

    

ggplot(pigeons, aes(x='pos', y='speed')) + \
    geom_point() + \
    geom_abline(slope=(180.-80.)/(-100-400), intercept=170, color='DodgerBlue')


    

    













    
Out[6]:





<ggplot: (288400217)>

In [7]:

    

ggplot(mtcars, aes(x='wt', y='mpg', color='factor(cyl)')) + \
    geom_point() + \
    geom_abline(slope=-8, intercept=45)


    

    













    
Out[7]:





<ggplot: (288841533)>

In [8]:

    

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


    

    













    
Out[8]:





<ggplot: (288938657)>

In [9]:

    

ggplot(diamonds, aes(x='carat', y='price')) + \
    geom_point(color='PapayaWhip') + \
    geom_abline(slope=5000)


    

    













    
Out[9]:





<ggplot: (289090901)>

In [10]:

    

ggplot(diamonds, aes(x='carat', y='price')) + \
    geom_point(color='PeachPuff') + \
    geom_abline(slope=5000, color='OliveDrab') + \
    geom_abline(slope=6000, color='Tomato') + \
    geom_abline(slope=7000, color='SaddleBrown')


    

    













    
Out[10]:





<ggplot: (293507313)>

In [ ]: