title: Plot a 3D pose skeleton data in python from numerical dataset
body: <p>I am working on a human pose prediction project, and I need to plot a human 3D pose skeleton from a numerical dataset, to compare ground truth and predicted values. like this image: <a href="https://i.stack.imgur.com/yekuK.png" rel="nofollow noreferrer">enter image description here</a>
  Already I am using this simple code,</p>
  <pre><code>ax = plt.axes(projection='3d')
  fig = plt.figure()
  fig = plt.figure()
  xdata = np.array(data[values])
  ydata = np.array(data[values])
  zdata = np.array(data[values])
  ax.scatter3D(xdata, ydata, zdata, c=zdata)
  plt.show()
  </code></pre>
  <p>but it shows me the points in a 3D plot, I know it isn't correct, So here is the question :
  **Is there any library or function to call? (Since already I use scatter, and I know it is wrong)
  [my dataset has 6395 rows and 54columns, And I am searching for a method to show for example 10 different poses every time or less.]</p>