title: What is the difference between pandas dtype vs dtypes
body: <p>For the below pandas code in jupyter I am trying to get the data type information .<code>tab</code> in jupyter provides me information that there is two attributes 
  It has both <code>dtype</code> and <code>dtypes</code> </p>
  
  <pre><code>import pandas as pd
  new_list = [True,False]
  new_pd = pd.Series(new_list)
  new_pd
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/RNETr.png" rel="noreferrer"><img src="https://i.stack.imgur.com/RNETr.png" alt="attributes"></a></p>
  
  <p>As per the documentation both returns data type information
  <a href="https://i.stack.imgur.com/w89yB.png" rel="noreferrer"><img src="https://i.stack.imgur.com/w89yB.png" alt="dtype"></a></p>
  
  <p><a href="https://i.stack.imgur.com/3Ndve.png" rel="noreferrer"><img src="https://i.stack.imgur.com/3Ndve.png" alt="dtypes"></a></p>
  
  <p>return from both are good and useful</p>
  
  <p><a href="https://i.stack.imgur.com/Xgsvk.png" rel="noreferrer"><img src="https://i.stack.imgur.com/Xgsvk.png" alt="result"></a></p>
  
  <p>Question is why there is same duplicate attributes .
  Which one to be used in which scenario or its a don't care anyone can be used ?</p>