In [1]:

    

import pandas as pd


    

In [2]:

    

url='http://thredds.ucar.edu/thredds/ncss/grib/NCEP/NAM/CONUS_12km/Best?var=Temperature_height_above_ground&latitude=40.0343092&longitude=-105.2550532&time_start=2014-10-08T00%3A00%3A00Z&time_end=2014-10-25T18%3A00%3A00Z&vertCoord=&accept=csv'


    

In [30]:

    

df = pd.read_csv(url,index_col=0,parse_dates=True,usecols=[0,4])


    

In [10]:

    

df.tail()


    

    
Out[10]:






  

    

      

      
Temperature_height_above_ground[unit="K"]
    
    

      
date
      

    
  
  

    

      
2014-10-25 06:00:00
      
 284.369202
    
    

      
2014-10-25 09:00:00
      
 282.503143
    
    

      
2014-10-25 12:00:00
      
 281.613525
    
    

      
2014-10-25 15:00:00
      
 282.510742
    
    

      
2014-10-25 18:00:00
      
 288.266113
    
  

In [5]:

    

df.plot()


    

    
Out[5]:





<matplotlib.axes._subplots.AxesSubplot at 0x7fe23796de90>






    

In [16]:

    

df.columns


    

    
Out[16]:





Index([u'Temperature_height_above_ground[unit="K"]'], dtype='object')

In [36]:

    

df.columns = ['temp (C)']


    

In [34]:

    

df['temp']-=272.15


    

In [35]:

    

df.plot()


    

    
Out[35]:





<matplotlib.axes._subplots.AxesSubplot at 0x7fe236c63a50>






    

In [ ]: