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In [12]:

    
import pandas as pd
import matplotlib.pyplot as plt
%pylab inline









    



Populating the interactive namespace from numpy and matplotlib



In [3]:

    
data = pd.read_csv("hubble_data.csv")



In [5]:

    
data.head()









    Out[5]:






  
    
      
      distance
      recession_velocity
    
  
  
    
      0
       0.032
       170
    
    
      1
       0.034
       290
    
    
      2
       0.214
      -130
    
    
      3
       0.263
       -70
    
    
      4
       0.275
      -185



In [9]:

    
headers = ["distance","recession_velocity"]
data2 = pd.read_csv("hubble_data_no_headers.csv", names = headers)

data2.head()









    Out[9]:






  
    
      
      distance
      recession_velocity
    
  
  
    
      0
       0.032
       170
    
    
      1
       0.034
       290
    
    
      2
       0.214
      -130
    
    
      3
       0.263
       -70
    
    
      4
       0.275
      -185



In [10]:

    
data2.set_index("distance", inplace=True)
data2.head()









    Out[10]:






  
    
      
      recession_velocity
    
    
      distance
      
    
  
  
    
      0.032
       170
    
    
      0.034
       290
    
    
      0.214
      -130
    
    
      0.263
       -70
    
    
      0.275
      -185



In [13]:

    
data2.plot()
plt.show()



In [ ]: