title: How to switch the colors of two categories in seaborn?
body: <p>Let's say I use the following 'iris' example with scatterplots</p>
  
  <pre><code>import pandas as pd
  import seaborn as sns
  sns.set(style="whitegrid", palette="muted")
  
  # Load the example iris dataset
  iris = sns.load_dataset("iris")
  
  # "Melt" the dataset to "long-form" or "tidy" representation
  iris = pd.melt(iris, "species", var_name="measurement")
  
  # Draw a categorical scatterplot to show each observation
  sns.swarmplot(x="measurement", y="value", hue="species", data=iris)
  </code></pre>
  
  <p>which outputs the following plot: </p>
  
  <p><a href="https://i.stack.imgur.com/THix3.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/THix3.png" alt="enter image description here"></a></p>
  
  <p>But let's say I wanted to switch the colors between setosa and versicolor, making setosa green and versicolor blue, explicitly using the seaborn palette. I would try something like this:</p>
  
  <pre><code>sns.set(style="whitegrid", palette="muted")
  iris = sns.load_dataset("iris")
  iris = pd.melt(iris, "species", var_name="measurement")
  sns.swarmplot(x="measurement", y="value", hue="species", data=iris, palette=dict(setosa = 'g', versicolor = 'b', virginica = 'r'))
  </code></pre>
  
  <p>Naturally, this doesn't work:</p>
  
  <p><a href="https://i.stack.imgur.com/nqk19.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/nqk19.png" alt="enter image description here"></a></p>
  
  <p>The color palette is now off. </p>
  
  <p>(1) How do you switch two categories keeping seaborn's colour palette? </p>
  
  <p>(2) What is you wanted to chose another seaborn "standard" color, like cyan? How could I switch setosa from blue to cyan? </p>