根据复制品的this answer，使用common_norm=False。
参见seaborn histplot and displot output doesn't match。
这并不特定于stat='percent'。其他选项包括'frequency'、'probability'和'density'。

import seaborn as sns
import matplotlib.pyplot as plt

tips = sns.load_dataset('tips')

fig, axes = plt.subplots(nrows=2, figsize=(20, 10), tight_layout=True)

sns.histplot(data=tips, x='total_bill', hue='day', stat='percent', multiple='dodge', bins=30, common_norm=True, ax=axes[0])
sns.histplot(data=tips, x='total_bill', hue='day', stat='percent', multiple='dodge', bins=30, common_norm=False, ax=axes[1])

axes[0].set_title('common_norm=True', fontweight='bold')
axes[1].set_title('common_norm=False', fontweight='bold')

handles = axes[1].get_legend().legend_handles

for ax in axes:
    for c in ax.containers:
        ax.bar_label(c, fmt=lambda x: f'{x:0.2f}%' if x > 0 else '', rotation=90, padding=3, fontsize=8, fontweight='bold')
    ax.margins(y=0.15)
    ax.spines[['top', 'right']].set_visible(False)
    ax.get_legend().remove()

_ = fig.legend(title='Day', handles=handles, labels=tips.day.cat.categories.tolist(), bbox_to_anchor=(1, 0.5), loc='center left', frameon=False)

字符串

的数据

sns.displot

g = sns.displot(data=tips, kind='hist', x='total_bill', hue='day', stat='percent', multiple='dodge', bins=30, common_norm=False, height=5, aspect=4)

ax = g.axes.flat[0]  # ax = g.axes[0][0] also works

for c in ax.containers:
    ax.bar_label(c, fmt=lambda x: f'{x:0.2f}%' if x > 0 else '', rotation=90, padding=3, fontsize=8, fontweight='bold')

型

的