title: Plotting a column with millions of rows
body: <p>I have a data-frame with millions of rows (almost 8 million). I need to see the distribution of the values in one of the columns. This column is called 'price_per_mile'. I also have a column called 'Borough'. The final goal is doing a t-test.
  First I want to see the distribution of data in 'price_per_mile', to see if data is normal and if I need to do some data cleaning. Then group-by based on five categories in 'borough' column and then do the t-test for each possible pair of boroughs. </p>
  
  <p>I have tried to plot the distribution with sns.distplot() but it doesn't give me a clear plot as it seems there's a scaling of the values on the y-axis. Also, the range of values contained in 'price_per_mile' is big. </p>
  
  <p><a href="https://i.stack.imgur.com/sC1hQ.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/sC1hQ.png" alt="enter image description here"></a></p>
  
  <p>Then I tried to plot a section of values, again the plot doesn't look clear and informative enough. Scaling happens again.</p>
  
  <pre><code>result.drop(result[(result.price_per_mile &lt;1) | (result.price_per_mile&gt;200)].index, inplace=True)
  </code></pre>
  
  <p>What do I need to do to have a better-looking plot which gives me the true value of each bin and not just a normalized value?
  I read the documentation for sns.distplot() but didn't find something helpful. </p>