In [1]:

    

import ggplot as gg
import ultrasignup as us
import numpy as np


    

In [2]:

    

d = us.event_results(299)


    

In [3]:

    

d.head()


    

    
Out[3]:






  

    

      

      
age
      
agegroup
      
bib
      
city
      
firstname
      
formattime
      
gender
      
gender_place
      
lastname
      
participant_id
      
place
      
runner_rank
      
state
      
status
      
time
      
time_hour
      
year
      
distance
    
  
  

    

      
0
      
 26
      
 20-29
      
 
      
 Chattanooga
      
  Daniel
      
 4:25:28
      
 M
      
 1
      
 Hamilton
      
 274774
      
 1
      
 93.18
      
 TN
      
 1
      
 15928
      
 4.424444
      
 2014
      
 50K
    
    

      
1
      
 27
      
 20-29
      
 
      
 Clarksville
      
    Kyle
      
 4:29:22
      
 M
      
 2
      
   Curtin
      
 512120
      
 2
      
 90.56
      
 TN
      
 1
      
 16162
      
 4.489444
      
 2014
      
 50K
    
    

      
2
      
 33
      
 30-39
      
 
      
       Ogden
      
  Joshua
      
 4:32:01
      
 M
      
 3
      
     Korn
      
 418055
      
 3
      
 87.56
      
 UT
      
 1
      
 16321
      
 4.533611
      
 2014
      
 50K
    
    

      
3
      
 20
      
 20-29
      
 
      
     Roswell
      
    Alec
      
 4:39:55
      
 M
      
 4
      
   Blenis
      
 380104
      
 4
      
 89.18
      
 GA
      
 1
      
 16795
      
 4.665278
      
 2014
      
 50K
    
    

      
4
      
 28
      
 20-29
      
 
      
      Auburn
      
 William
      
 4:41:59
      
 M
      
 5
      
   Ansick
      
   1561
      
 5
      
 80.48
      
 AL
      
 1
      
 16919
      
 4.699722
      
 2014
      
 50K
    
  

In [4]:

    

%matplotlib inline
p1 = gg.ggplot(
  gg.aes(x='time_hour',fill='gender'),d[(d.distance=='50K')&(d.time_hour>1.0)]) + \
  gg.facet_grid(x='gender') + \
  gg.geom_bar(stat="bin",binwidth=.5,position="dodge",colour="black") + \
  gg.xlab("Time (hours)") + gg.ylab("Number of Finishers") + \
  gg.ggtitle("50K Finishing Times for All Years")
print(p1)


    

    




/home/jeffrey/anaconda3/lib/python3.4/site-packages/ggplot/ggplot.py:200: RuntimeWarning: Facetting is currently not supported with geom_bar. See
                    https://github.com/yhat/ggplot/issues/196 for more information
  warnings.warn(msg, RuntimeWarning)






    













    




<ggplot: (-9223363269044096922)>

In [5]:

    

%matplotlib inline
p2 = gg.ggplot(
  gg.aes(x='time_hour',fill='gender'),d[(d.distance=='11 Miler')&(d.time_hour>1.0)]) + \
  gg.facet_grid(x='gender') + \
  gg.geom_bar(stat="bin",binwidth=.5,position="dodge",colour="black") + \
  gg.xlab("Time (hours)") + gg.ylab("Number of Finishers") + \
  gg.ggtitle("11M Finishing Times for All Years")
print(p2)


    

    




/home/jeffrey/anaconda3/lib/python3.4/site-packages/ggplot/ggplot.py:200: RuntimeWarning: Facetting is currently not supported with geom_bar. See
                    https://github.com/yhat/ggplot/issues/196 for more information
  warnings.warn(msg, RuntimeWarning)






    













    




<ggplot: (-9223363269014736103)>