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()

Beginne mit dem px.ecdf-Einstiegspunkt und vergleiche, wie marginal='histogram' mit histnorm in px.histogram konfiguriert wird. Ermittle, ob normalisierte marginale Bins oder Prozentangaben in den Hover-Informationen das beabsichtigte Verhalten sind, und überprüfe anschließend das Ergebnis mit dem bereitgestellten NumPy- und pandas-Beispiel; abgeschlossen ist die Aufgabe, wenn das ECDF-Histogramm-Marginal Prozentangaben ohne manuelle Subplots darstellen kann.