text: import wbdata
  import pandas
  import matplotlib.pyplot as plt
   
  #set up the countries I want
  countries = ["CL","UY","HU"]
   
  #set up the indicator I want (just build up the dict if you want more than one)
  indicators = {'NY.GNP.PCAP.CD':'GNI per Capita'}
   
  #grab indicators above for countires above and load into data frame
  df = wbdata.get_dataframe(indicators, country=countries, convert_date=False)
  
  #df is "pivoted", pandas' unstack fucntion helps reshape it into something plottable
  dfu = df.unstack(level=0)
  
  # a simple matplotlib plot with legend, labels and a title
  dfu.plot(); 
  plt.legend(loc='best'); 
  plt.title("GNI Per Capita ($USD, Atlas Method)"); 
  plt.xlabel('Date'); plt.ylabel('GNI Per Capita ($USD, Atlas Method');
  plt.show();
  