title: Continually match values to a list of keys and values in Python
body: <p>I have a list of keys: </p>
  
  <pre><code>Keys=['Description of Supplier:', 'Locally Produced:', 'Imported:', 'Female Managed:', 'Female Owned:', 'Closest Landmark:', '% National Staff:', '% International Staff:', 'Operating since:', 'Previous Name:']
  </code></pre>
  
  <p>I am looping over several web pages to retrieve the contents of the table as a dictionary of values and keys: </p>
  
  <pre><code>webpage1={'Description of Supplier:': 'Hardware, farm tools, articles for office and school supplies (Quincaillerie, outils agricoles, articles pour bureau et articles scolaires)', 'Female Owned:': 'NO', 'Operating since:': '01/1990', 'Female Managed:': 'NO', '% National Staff:': '100', 'Locally Produced:': '100%', 'Previous Name:': ''}
  
  webpage2={'Description of Supplier:': 'Produce, foods', 'Female Owned:': 'YES', 'Operating since:': '1987', 'Female Managed:': 'NO', '% National Staff:': '80', 'Locally Produced:': '100%', 'Previous Name:': 'Kshop'}
  </code></pre>
  
  <p>I want to combine the dictionaries by the keys: </p>
  
  <pre><code>newdict={'Description of Supplier:': ['Hardware, farm tools, articles for office and school supplies (Quincaillerie, outils agricoles, articles pour bureau et articles scolaires)','Produce, foods'], 'Female Owned:': ['NO','YES'], 'Operating since:': ['01/1990','1987'], 'Female Managed:': ['NO','NO'], '% National Staff:': ['100','80'], 'Locally Produced:': ['100%','100%] , 'Previous Name:': ['','kshop']}
  </code></pre>
  
  <p>However the values have to be in the right order ( I am writing them to a csv file). </p>
  
  <p>I am stuck on how to do this in the most efficient way. Any suggestions? Thanks so much in advance!</p>