In [19]:

    

from ggplot import *
%matplotlib inline
import pandas as pd
import numpy as np


    

In [10]:

    

pigeons.head()


    

    
Out[10]:






  

    

      

      
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 [13]:

    

ggplot(pigeons, aes(x='pos', y='speed')) + geom_line()


    

    













    
Out[13]:





<ggplot: (288454005)>

In [14]:

    

ggplot(pigeons, aes(x='pos', y='speed')) + geom_step()


    

    













    
Out[14]:





<ggplot: (288579529)>

In [17]:

    

ggplot(pigeons.head(25), aes(x='pos', y='speed')) + geom_step(direction='hv')


    

    













    
Out[17]:





<ggplot: (290497257)>

In [18]:

    

ggplot(pigeons.head(25), aes(x='pos', y='speed')) + geom_step(direction='vh')


    

    













    
Out[18]:





<ggplot: (293747037)>

In [25]:

    

random_walk = pd.DataFrame(dict(
    x=np.arange(100),
    y=np.random.choice([-1, 1], 100).cumsum()
))
random_walk.head()


    

    
Out[25]:






  

    

      

      
x
      
y
    
  
  

    

      
0
      
0
      
-1
    
    

      
1
      
1
      
-2
    
    

      
2
      
2
      
-1
    
    

      
3
      
3
      
-2
    
    

      
4
      
4
      
-1
    
  

In [26]:

    

ggplot(random_walk, aes(x='x', y='y')) + geom_point()


    

    













    
Out[26]:





<ggplot: (294112189)>

In [27]:

    

ggplot(random_walk, aes(x='x', y='y')) + geom_point() + geom_step()


    

    













    
Out[27]:





<ggplot: (290513349)>

In [31]:

    

ggplot(random_walk, aes(x='x', y='y')) + geom_line(color='coral') + geom_step(color='steelblue')


    

    













    
Out[31]:





<ggplot: (295363765)>

In [33]:

    

random_walk = pd.DataFrame(dict(
    x=np.arange(250),
    y=np.random.choice([-1, 1], 250).cumsum(),
    project=np.random.choice(["Alpha", "Zalpha"], 250)
))
random_walk.head()


    

    
Out[33]:






  

    

      

      
project
      
x
      
y
    
  
  

    

      
0
      
Zalpha
      
0
      
-1
    
    

      
1
      
Alpha
      
1
      
0
    
    

      
2
      
Zalpha
      
2
      
1
    
    

      
3
      
Alpha
      
3
      
0
    
    

      
4
      
Alpha
      
4
      
-1
    
  

In [34]:

    

ggplot(random_walk, aes(x='x', y='y', color='project')) + geom_step()


    

    













    
Out[34]:





<ggplot: (295523493)>

In [38]:

    

ggplot(random_walk, aes(x='x', y='y', color='project')) + geom_step(size=5)


    

    













    
Out[38]:





<ggplot: (297382089)>

In [ ]: