title: Scatterplot with different size, marker, and color from pandas dataframe
body: <p>I am trying to do a scatter plot with speed over meters for each point where marker indicate different types, size indicate different weights and color indicate how old a point is over 10 minutes scale. However, I was only able to plot by size so far.</p>
  
  <p>Any help is highly appreciated. </p>
  
  <pre><code>x = {'speed': [10, 15, 20, 18, 19], 'meters' : [122, 150, 190, 230, 300], 'type': ['phone', 'phone', 'gps', 'gps', 'car'], 'weight': [0.2, 0.3, 0.1, 0.85, 0.0], 'old': [1, 2, 4, 5, 8]}
  
  m = pd.DataFrame(x)
  
  plt.scatter(m.meters, m.speed, s = 30* m.weight)
  
  mkr_dict = {'gps': 'x', 'phone': '+', 'car': 'o'}
  
     meters  speed   type  weight  old
  0     122     10  phone    0.20    1
  1     150     15  phone    0.30    2
  2     190     20    gps    0.10    4
  3     230     18    gps    0.85    5
  4     300     19    car    0.00    8
  </code></pre>
  
  <p>Updated question:</p>
  
  <p>I am trying to add colorbar to the color scale based on old. it worked when I plot against the entire dataset but failed after trying to add marker for each subset. Any idea?</p>
  
  <pre><code>plt.scatter(m.meters, m.speed, s = 30* m.weight, c=m.old)
  cbar = plt.colorbar(ticks = [0, 5, 10])
  cbar.ax.set_yticklabels(['New','5mins', '10mins'])
  </code></pre>
  
  <p>TypeError: You must first set_array for mappable</p>