Python Data Analysis Cookbook

Choosing seaborn color palettes

Seaborn color palettes are similar to matplotlib colormaps. Color can help you discover patterns in data and is an important visualization component. Seaborn has a wide range of color palettes, which I will try to visualize in this recipe.

How to do it...

1. The imports are as follows:

   import seaborn as sns
   import matplotlib.pyplot as plt
   import matplotlib as mpl
   import numpy as np
   from dautil import plotting

2. Use the following function that helps plot the palettes:

   def plot_palette(ax, plotter, pal, i, label, ncol=1): n = len(pal) x = np.linspace(0.0, 1.0, n) y = np.arange(n) + i * n ax.scatter(x, y, c=x, cmap=mpl.colors.ListedColormap(list(pal)), s=200) plotter.plot(x,y, label=label) handles, labels = ax.get_legend_handles_labels() ...