ecdf with normed histogram

I really like the plotly.express.ecdf and have been using it a lot in my daily work.
When I show ecdf plots in meetings, I usually show it with marginal='histogram', since this is easier understandable for the non-data-scientists in the room.
However, since the amount of data varies I would like to have a normalized histogram, i.e. have percent values.

I know this would be possible with subplots, but there are really a lot of ugly adjustments to make.
So a solution could be to show the percentage in the hint as well, or something like histnorm from plotly.express.histogram.

Example for easy testing:

import plotly.express as px
import numpy as np
import pandas as pd

# Generate random data
np.random.seed(42)  # For reproducibility
data = np.random.normal(loc=0, scale=1, size=1000)  # Normal distribution data

# Create a pandas dataframe
df = pd.DataFrame({'Values': data})

# Create ECDF plot with histogram
fig = px.ecdf(data, 
              ecdfnorm='percent', 
              marginal='histogram')

# Show the figure
fig.show()

从 px.ecdf 入口点开始，比较在 px.histogram 中 marginal='histogram' 与 histnorm 是如何配置的。确定预期行为是归一化的 marginal bins，还是 hover 时显示百分比信息，然后使用提供的 NumPy 和 pandas 示例验证结果；当 ECDF 直方图的 marginal 无需手动创建子图即可表示百分比时，即表示完成。