title: counting for specific value in pandas .value_counts()
body: <p>I currently have a columns with two gender values, male = 1, and female = 2 and I would like to count and display the value next gender.</p>
  <pre class="lang-py prettyprint-override"><code>Gender = [1, 1, 1, 2, 1, 2, 2, 2, 1, 1, 2]
  </code></pre>
  <p>when I used this code</p>
  <pre class="lang-py prettyprint-override"><code>df['Gender'].value_counts() 
  </code></pre>
  <p>I got the following output:</p>
  <pre><code>1 6
  2 5
  
  Gender dType is int64
  </code></pre>
  <p>but I was looking for the following result. However I kept getting a different output than the following:-</p>
  <pre><code>The total number of Male: 6
  The total number of Female: 5
  </code></pre>
  <p>This was print that I used but it kept giving me an error. I think I may need your help with this one. Thank you in advance.</p>
  <pre class="lang-py prettyprint-override"><code>print('The total number of Male:' df[Gender].value_counts(),'\n') 
  </code></pre>