对于seaborn，您可以使用sns.histplot(..., multiple='fill')。
下面是一个从titanic数据集开始的示例：

from matplotlib import pyplot as plt
from matplotlib.ticker import PercentFormatter
import seaborn as sns
import numpy as np

titanic = sns.load_dataset('titanic')
ax = sns.histplot(data=titanic, x='age', hue='alive', multiple='fill', bins=np.arange(0, 91, 10), palette='spring')
for bars in ax.containers:
    heights = [b.get_height() for b in bars]
    labels = [f'{h * 100:.1f}%' if h > 0.001 else '' for h in heights]
    ax.bar_label(bars, labels=labels, label_type='center')
ax.yaxis.set_major_formatter(PercentFormatter(1))
ax.set_ylabel('Percentage of age group')
plt.tight_layout()
plt.show()