In [5]:

    

import numpy 
import pandas
from  matplotlib import pyplot
import seaborn
%matplotlib inline

seaborn.set(style='ticks')

N = 6
Names = ['A', 'B', 'C', 'D']
df = pandas.DataFrame({
    'Year': [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2016],
    'Ranking': [1, 4, 2, 3, 4, 2, 3, 10],
    'Player': ['A','B','C', 'D','B','C', 'D', 'A']
})
df

fg = seaborn.FacetGrid(data=df, hue='Player', hue_order= Names, aspect=1.61, size=3)
fg.map(pyplot.scatter, 'Year','Ranking').add_legend()
fg.fig.axes[0].invert_yaxis()


    

    




/usr/local/lib/python3.5/dist-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.
  warnings.warn(msg, UserWarning)






    

In [6]:

    

df


    

    
Out[6]:







  

    

      

      
Player
      
Ranking
      
Year
    
  
  

    

      
0
      
A
      
1
      
2010
    
    

      
1
      
B
      
4
      
2011
    
    

      
2
      
C
      
2
      
2012
    
    

      
3
      
D
      
3
      
2013
    
    

      
4
      
B
      
4
      
2014
    
    

      
5
      
C
      
2
      
2015
    
    

      
6
      
D
      
3
      
2016
    
    

      
7
      
A
      
10
      
2016