text: # -*- coding: utf-8 -*-
  """
  Created on Mon Feb  8 08:13:16 2016
  
  @author: bell
  """
  
  import os
  import pandas as pd
  
  path = '/Users/bell/Data_Local/SPN1_Development/ukmet_buoy/download/L4/SPN1/'
  all_files= [each for each in os.listdir(path) if each.endswith('.dat')]
  
  frame = pd.DataFrame()
  
  for f in all_files[610:620]:
      df = pd.read_csv(path+f,header=0,names=['date', 'time', 'total', 'diffuse', 'sunshinebit'])
      df['total'] = df['total'].str[2:].astype(float)
      df['date'] = pd.to_datetime(df['date']+df['time'], dayfirst=True)
      frame = frame.append(df, ignore_index=True)
  
  frame.set_index('date',inplace=True)
  
  frame.plot()
  #pd.rolling_std(frame['total'], 10).plot()
  #pd.rolling_mean(frame['total'],6).plot()
  
  
  """
   spn_file = '/Users/bell/Programs/Python/MooringDataProcessing/oer_radiometer/data/deploy_2015/2015_OER_SWR_SPN1_0904.csv'
  df2 = pd.read_csv(spn_file)
  df2['SPN Total 1min'] = pd.rolling_mean(df2['SPN Total'],12)
  df2['SPN Diffuse 1min'] = pd.rolling_mean(df2['SPN Diffuse'],12)
  df2.ix[:, ['SPN Total 1min','SPN Diffuse 1min','SWR']].plot()
  df2.ix[:, ['SPN Total','SPN Diffuse','SWR']].plot()
  
  pd.rolling_std(df2['SPN Total'], 10).plot()
  """