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Create a list of viridis colors as arrays of `rgba` values
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| from matplotlib import cm | |
| from matplotlib.colors import ListedColormap, LinearSegmentedColormap | |
| import seaborn as sns | |
| n_unique_vals = 5 | |
| colors = cm.get_cmap('viridis', n_unique_vals)(np.linspace(0, 1, n_unique_vals)) | |
| sns.palplot(colors) | |
| # create colormap and mappable for colorbar construction | |
| cmap = LinearSegmentedColormap.from_list("RANDOM", colors, N=n_pcs) | |
| sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(vmin=0, vmax=n_unique_vals)) | |
| plt.colorbar(sm, ticks=np.arange(n_unique_vals) |
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Another colorbar question: https://stackoverflow.com/questions/8342549/matplotlib-add-colorbar-to-a-sequence-of-line-plots