In [2]:

    

import numpy as np


    

In [4]:

    

ls


    

    




Camera_cleaned.csv  Camera_mod.csv        preprocess_data.sh*  test.ipynb
Camera.csv          HW3_submission.ipynb  README.md

In [6]:

    

df = np.genfromtxt('Camera_cleaned.csv',delimiter=';',names=True)


    

In [10]:

    

np.array(df)


    

    
Out[10]:





array([ (1.0, 1997.0, 1024.0, 640.0, 0.0, 38.0, 114.0, 70.0, 40.0, 4.0, 420.0, 95.0, 179.0),
       (2.0, 1998.0, 1280.0, 640.0, 1.0, 38.0, 114.0, 50.0, 0.0, 4.0, 420.0, 158.0, 179.0),
       (3.0, 2000.0, 640.0, 0.0, 0.0, 45.0, 45.0, 0.0, 0.0, 2.0, 0.0, 0.0, 179.0),
       ...,
       (1036.0, 2001.0, 2048.0, 1024.0, 3.0, 35.0, 98.0, 80.0, 10.0, 8.0, 340.0, 107.0, 62.0),
       (1037.0, 2001.0, 2400.0, 1200.0, 3.0, 35.0, 98.0, 80.0, 10.0, 16.0, 340.0, 107.0, 62.0),
       (1038.0, 2002.0, 1600.0, 800.0, 1.0, 38.0, 38.0, 40.0, 20.0, 8.0, 180.0, 86.0, 129.0)], 
      dtype=[('Model', '<f8'), ('Release_date', '<f8'), ('Max_resolution', '<f8'), ('Low_resolution', '<f8'), ('Effective_pixels', '<f8'), ('Zoom_wide_W', '<f8'), ('Zoom_tele_T', '<f8'), ('Normal_focus_range', '<f8'), ('Macro_focus_range', '<f8'), ('Storage_included', '<f8'), ('Weight_inc_batteries', '<f8'), ('Dimensions', '<f8'), ('Price', '<f8')])