title: try to convert a data frame column of format '%Y-%m-%d %H:%M:%S' to '"%d %b %Y" and ignoring other format/dtype present in same column
body: <p><a href="https://i.stack.imgur.com/mTgC1.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/mTgC1.png" alt="enter image description here"></a></p>
  
  <p>I tried below mention code but unable to execute successfully, it happening due to other type entry in the same column </p>
  
  <pre class="lang-py prettyprint-override"><code>df['column1']=df['column1'].dt.strftime("%d %b %Y")
  </code></pre>
  
  <p>getting 
  <code>AttributeError: Can only use .dt accessor with datetimelike values</code></p>
  
  <p>sample of dataframe:(picture attached)</p>