title: Scatter plot on large amount of data
body: <p>Let's say i've got a large dataset(8500000X50). And i would like to scatter plot X(date) and Y(the measurement that was taken at a certain day).</p>
  
  <p>I could get only this: 
  <a href="https://i.stack.imgur.com/8JJBB.png" rel="noreferrer"><img src="https://i.stack.imgur.com/8JJBB.png" alt="enter image description here"></a></p>
  
  <pre><code>data_X = data['date_local']
  data_Y = data['arithmetic_mean']
  data_Y = data_Y.round(1)
  data_Y = data_Y.astype(int)
  data_X = data_X.astype(int)
  sns.regplot(data_X, data_Y, data=data)
  plt.show()
  </code></pre>
  
  <p>According to somehow 'same' questions i've found at Stackoverflow, i can shuffle my data or take for example 1000 random values and plot them.
  But how to implement it in such a manner that every X(date when the certain measurement was taken) will correspond to actual(Y measurement).</p>