title: colouring data points in seaborn plot using vector of RGB values for each datapoint
body: <p>I have a pandas dataframe with some values. I wanted to use seaborn's stripplot to visualise the spread of my data, although this is the first time I'm using seaborn. I thought it would be interesting to colour the datapoints that were outliers, so I created a column containing RGB tuples for each value. I have used this approach before and I find it very convenient so I would love to find a way to make this work because seaborn is quite nice.</p>
  
  <p>This is how the dataframe might look:</p>
  
  <pre><code>   SUBJECT  CONDITION(num)       hit  hit_box_outliers  \
  0      4.0             1.0  0.807692                 0   
  1      4.0             2.0  0.942308                 0   
  2      4.0             3.0  1.000000                 0   
  3      4.0             4.0  1.000000                 0   
  4      5.0             1.0  0.865385                 0   
  
                                           hit_colours  
  0  (0.38823529411764707, 0.38823529411764707, 0.3...  
  1  (0.38823529411764707, 0.38823529411764707, 0.3...  
  2  (0.38823529411764707, 0.38823529411764707, 0.3...  
  3  (0.38823529411764707, 0.38823529411764707, 0.3...  
  4  (0.38823529411764707, 0.38823529411764707, 0.3...  
  </code></pre>
  
  <p>Then I try to plot it here:</p>
  
  <pre><code>sns.stripplot(x='CONDITION(num)', y='hit', data=edfg, jitter=True, color=edfg['hit_colours'])
  </code></pre>
  
  <p>and I am given the following error:</p>
  
  <pre><code>ValueError: Could not generate a palette for &lt;map object at 0x000002265939FB00&gt;
  </code></pre>
  
  <p>Any ideas for how I can achieve this seemingly easy task?</p>