title: Replacing special characters in pandas dataframe
body: <p>So, I have this huge DF which encoded in iso8859_15.</p>
  
  <p>I have a few columns which contain names and places in Brazil, so some of them contain special characters such as "í" or "Ô".</p>
  
  <p>I have the key to replace them in a dictionary {'í':'i', 'á':'a', ...}</p>
  
  <p>I tried replacing it a couple of ways (below), but none of them worked.</p>
  
  <pre><code>df.replace(dictionary, regex=True, inplace=True) ###BOTH WITH AND WITHOUT REGEX AND REPLACE
  </code></pre>
  
  <p>Also:</p>
  
  <pre><code>df.udpate(pd.Series(dic))
  </code></pre>
  
  <p>None of them had the expected output, which would be for strings such as "NÍCOLAS" to become "NICOLAS".</p>
  
  <p>Help?</p>