title: Separate column values and create new columns with these values in Pandas
body: <p>I have a dataframe, <code>df</code>, where I would like to separate column values and create new columns with these values.</p>
  <p>Data:</p>
  <pre><code>ID  Date      STAT
  aa  Q1 2022   hi
  aa  Q1 2022   hi
  aa  Q1 2022   hi
  </code></pre>
  <p>Desired:</p>
  <pre><code>ID  Date      STAT  QTR YEAR
  aa  Q1 2022   hi    Q1  2022
  aa  Q1 2022   hi    Q1  2022
  aa  Q1 2022   hi    Q1  2022
  </code></pre>
  <p>I've tried using <code>.str.split</code> to separate values within the columns:</p>
  <pre><code>df['Date'].str.split(' ', expand=True)
  </code></pre>
  <p>However, I'm unsure about how to create the new columns.</p>