另一个答案是有点hacky。因此，更严格的解决方案（不生成随后删除的图）将涉及手动创建ScalarMappable作为色条的输入。
import matplotlib.pyplot as plt
import seaborn as sns
titanic = sns.load_dataset("titanic")
g = titanic.groupby('pclass')
survival_rates = g['survived'].mean()
n = g.size()
norm = plt.Normalize(survival_rates.min(), survival_rates.max())
sm = plt.cm.ScalarMappable(cmap="Reds", norm=norm)
sm.set_array([])
ax = sns.barplot(x=n.index, y=n, hue=survival_rates, palette='Reds',
dodge=False)
ax.set_ylabel('n passengers')
ax.get_legend().remove()
ax.figure.colorbar(sm)
plt.show()
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