title: Store the counts for a specific value in a column in Pandas dataframe
body: <p>I have a dataframe with two columns as <code>SESSION</code> and <code>PRICE_POINT</code>. </p>
  
  <p><code>SESSION</code> is a category variable (values with various ip sessions)</p>
  
  <p><code>PRICE_POINT</code> has two values such as 'high', 'low'</p>
  
  <p>I am running the following:</p>
  
  <pre><code>n = pd.value_counts(df['price_point'].values, sort=False)
  </code></pre>
  
  <p>My output is,</p>
  
  <pre><code>high    30204
  low     62978
  dtype: int64
  </code></pre>
  
  <p>What I need is, I want to get the count of "high" and "low" from the column "price_point" separately and store that values as n = 30204 and m = 62978.</p>
  
  <p>Any ideas?</p>