text: """
  Survey of Professional Forecasters
  The Philly Fed has been polling forecasters for years and posting both
  summary statistics (mean forecasts, for example) and individual numbers
  (suitably anonymized).  We take a look at the recent data, see what's there.
  
  Link
  * https://www.philadelphiafed.org/research-and-data/real-time-center/survey-of-professional-forecasters/
  
  Prepared for Data Bootcamp course at NYU
  * http://databootcamp.nyuecon.com/
  * https://github.com/NYUDataBootcamp/Materials/Code/Lab
  
  Written by Dave Backus and Chase Coleman, March 2016
  Created with Python 3.5
  """
  """
  import packages, check versions
  """
  import sys
  import pandas as pd
  #import numpy as np
  #import matplotlib.pyplot as plt
  
  print('\nPython version: ', sys.version)
  print('Pandas version: ', pd.__version__, '\n')
  
  #%%
  """
  read data
  """
  url1 = 'https://www.philadelphiafed.org/-/media/research-and-data/'
  url2 = 'real-time-center/survey-of-professional-forecasters/'
  url3 = 'historical-data/micro5.xls'
  url = url1 + url2 + url3
  
  spf = pd.read_excel(url)
  print('Dimensions:', spf.shape)
  print('\nData types:\n', spf.dtypes, sep='')
  
  
  #%%
  
  #%%
  