notebook.community

Edit and run



In [1]:

    
import pandas as pd

df = pd.DataFrame.from_csv('2014-15-player-per-game-averages.csv')

df.head()









    Out[1]:






  
    
      
      last_name
      first_name
      position
      height_inches
      weight_lbs
      min
      pts
      fg_pct
      reb
      ast
      blk
      stl
    
    
      person_id
      
      
      
      
      
      
      
      
      
      
      
      
    
  
  
    
      203112
      Acy
      Quincy
      Forward
      79
      240
      18.9
      5.9
      0.459
      4.4
      1.0
      0.3
      0.4
    
    
      203500
      Adams
      Steven
      Center
      84
      255
      25.3
      7.7
      0.544
      7.5
      0.9
      1.2
      0.5
    
    
      201167
      Afflalo
      Arron
      Guard
      77
      215
      32.1
      13.3
      0.424
      3.2
      1.7
      0.1
      0.5
    
    
      201582
      Ajinca
      Alexis
      Center
      86
      248
      14.1
      6.5
      0.550
      4.6
      0.7
      0.8
      0.3
    
    
      203128
      Aldemir
      Furkan
      Forward
      82
      240
      13.2
      2.3
      0.513
      4.3
      0.7
      0.4
      0.4

That was a little easier than my own helper class :)

Let's now examine a scatter matrix comparing all combinations of the numerical stats.



In [16]:

    
import matplotlib.pyplot as plt
from pandas.tools.plotting import scatter_matrix

%matplotlib inline
%config InlineBackend.figure_format = 'retina'

scatter_matrix(
    df[['height_inches', 'weight_lbs', 'min', 'pts', 'reb', 'ast', 'blk']],
    figsize = (12, 12)
)
# plt.savefig('nba-scatter.png')
None

	last_name	first_name	position	height_inches	weight_lbs	min	pts	fg_pct	reb	ast	blk	stl
person_id
203112	Acy	Quincy	Forward	79	240	18.9	5.9	0.459	4.4	1.0	0.3	0.4
203500	Adams	Steven	Center	84	255	25.3	7.7	0.544	7.5	0.9	1.2	0.5
201167	Afflalo	Arron	Guard	77	215	32.1	13.3	0.424	3.2	1.7	0.1	0.5
201582	Ajinca	Alexis	Center	86	248	14.1	6.5	0.550	4.6	0.7	0.8	0.3
203128	Aldemir	Furkan	Forward	82	240	13.2	2.3	0.513	4.3	0.7	0.4	0.4