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()

Comienza con el punto de entrada px.ecdf y compara cómo se configura marginal='histogram' con histnorm en px.histogram. Determina si el comportamiento previsto son los bins marginales normalizados o la información de porcentaje en el hover y, después, verifica el resultado con el ejemplo proporcionado de NumPy y pandas; se considera terminado cuando el marginal del histograma ECDF puede representar porcentajes sin subplots manuales.