title: Color ggplot2 values by a sorted unique column values in Python
body: <p>I came across this package plotnine which can give the same results as R's ggplot2 in Python. It's pretty useful but I have a problem coloring "label_1" and "label_2" values by their unique "ID"s. The colors should be distinguishable. It could be ranging from a bright shade of a color to the darkest shade. My code gives a pretty close result to what I wish but still the colors are not distinguishable enough. My graph is not using my colors now but I'd like to find out if it could work out too.</p>
  
  <pre class="lang-py prettyprint-override"><code># Generating 100 random colors for 100 values
  from plotnine import *
  
  import random as random
  colors= lambda n: list(map(lambda i: "#" + "%06x" % random.randint(0, 0xFFFFFF), range(n)))
  colors = colors(100)
  
  
  ggplot(
      musk_df) + geom_point(aes(x = 'label_1',y = 'label_2',fill = 'id'),alpha = 0.5) +labs(
          title ='Graph',
          x = 'label_1',
          y = 'label_2',) +scale_fill_manual(
          name = 'id',values = colors) +scale_fill_gradient(low="green",high="darkgreen") 
  </code></pre>