title: How to delete outliers after plotting a boxplot with Seaborn?
body: <p>I am trying to delete the outliers from my dataset. </p>
  
  <p>Here are the boxplots: <a href="https://i.stack.imgur.com/Dj2e8.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Dj2e8.png" alt="boxplots"></a></p>
  
  <p>How can I get the value of the end of the whisker? </p>
  
  <p>Let's say:
  min has the value: 0
  my 25th quartile has the value: 125
  my 75th quartile has the value: 1938
  max has the value: 113499</p>
  
  <p>I tried something like the following, but not sure if it's right: </p>
  
  <pre><code>clean_model.drop(clean_model[clean_model.num_likes &gt; (1938 + (1.5* (1938-125)))].index, inplace=True)
  </code></pre>
  
  <p>Is that calculation (1938 + (1.5* (1938-125))) right, to get the value of the point in the plot? </p>
  
  <p>Below is the description of my dataframe: </p>
  
  <p><a href="https://i.stack.imgur.com/2FWCC.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/2FWCC.png" alt="describe dataframe"></a></p>