title: Plotting large pandas data frame in 3D
body: <p>I am currently trying to visualize a huge amount of data in the same plot. Basically, I have data in the interval [0,1] obtained between 13:00 and 16:00 with a 5 seconds interval. The data is stored in a pandas DataFrame, <code>DF</code>, having this 5-second-interval timestamp as index. So the data looks like</p>
  
  <pre><code>&gt;&gt;&gt; DF
  
                   a         b         c
  13:00:00  0.994035  0.996058  0.998792
  13:00:05  0.994035  0.996058  0.998776
  13:00:10  0.994061  0.996058  0.998768
  13:00:15  0.994105  0.996058  0.998768
  13:00:20  0.994070  0.996058  0.998761
  
  ...
  </code></pre>
  
  <p>Of course, the obvious way to go about the problem would be to just call pandas own plot-function <code>DF.plot()</code>, yielding <img src="https://i.stack.imgur.com/R1LP3.png" alt="Plot showing data for a, b and c."></p>
  
  <p>But since I have an immense (hundreds) of such data it would not make any sense, and instead I thought of perhaps visualize it using a 3d-plot, where e.g. the</p>
  
  <ul>
  <li>x-axis is the timestamp (the index for the data frame above)</li>
  <li>y-axis is the column names of the data frame (in the example <code>a</code>, <code>b</code> and <code>c</code>, respectively), and</li>
  <li>z-axis is the actual data.</li>
  </ul>
  
  <p>However, as I am not too familiar with plotting-techniques, I thought there could perhaps be someone out there who is.</p>