title: How to use Python to draw a normal probability plot by using certain column data in dataFrame
body: <p>I have a Data Frame that contains two columns named, "thousands of dollars per year", and "EMPLOY". </p>
  
  <p>I create a new variable in this data frame named "cubic_Root" by computing the data in df['thousands of dollars per year']</p>
  
  <pre><code>df['cubic_Root'] = -1 / df['thousands of dollars per year'] ** (1. / 3)
  </code></pre>
  
  <p>The data in df['cubic_Root'] like that:</p>
  
  <p>ID    cubic_Root</p>
  
  <p>1     -0.629961</p>
  
  <p>2     -0.405480</p>
  
  <p>3     -0.329317</p>
  
  <p>4     -0.480750</p>
  
  <p>5     -0.305711</p>
  
  <p>6     -0.449644</p>
  
  <p>7     -0.449644</p>
  
  <p>8     -0.480750</p>
  
  <p>Now! How can I  draw a normal probability plot by using the data in df['cubic_Root']. </p>