new_contents: import requests
  import pandas
  import time
  
  def download_file(url):
      local_filename = url.split('/')[-1]
      # NOTE the stream=True parameter
      r = requests.get(url, stream=True)
      with open(local_filename, 'wb') as f:
          for chunk in r.iter_content(chunk_size=1024): 
              if chunk: # filter out keep-alive new chunks
                  f.write(chunk)
                  f.flush()
      return local_filename
      
      
      
  def ParseSLBData(id="h00t",start,stop):
    id = "h00t"
    
    
    
    starttime = time.strftime("%y%m%d%H%M",start)
    stoptime = time.strftime("%y%m%d%H%M",stop)
    url = "http://slb.nu/soldata/index.php?KEY=%s&start=%i&stop=%i" %(id,starttime,stoptime)
  
    df = pandas.read_csv(url,sep = ";",parse_dates=[[0, 1]],skiprows=8, header = None ,infer_datetime_format = True,na_values = ["     ","    ","  "," ",""])
    cl = pandas.read_csv(url,sep = ";", header = 6,error_bad_lines= False,na_values = [""],nrows=1)
  
    #Align keys to data. 
    cols = cl.keys()
    cols = cols[1:]
    col2 = cols.insert(-1,"NAN")
    
    #Set data keys as column descriptors
    df.columns = col2
  
    return df
    
  
  
  
  def ParseCVS(file):
    file = open(file,"r")
    
    df = pandas.read_csv(file)
  
  
    print df
    print df['Line']
  
  
  
  
  if __name__ == "__main__":
  
    ParseCVS("testdata/h00t_1310160720_1406030410.csv")
    
    
  
subject: Create cvs_importer.py