px.ecdf // x_log leads to shifted marginal histogram

When trying to display a marginal histogram combined with log_x = true, the histogram does not seem to get placed correclty.

Minimal reproducible example (plotly 5.4.0):

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

df = pd.DataFrame({'data': np.random.randn(10000)+8})
fig = px.ecdf(df, x='data', marginal='histogram', log_x=True)
fig.show()

I expect the histogram's median at 8 (normal distribution with offset of 8), but it is placed somewhere at more than 11. The actual ecdf is displayed correctly. With log_x = False, both the histogram and the ecdf are displayed correctly.

Inizia eseguendo l’esempio minimo di px.ecdf riportato nell’issue e analizza la gestione dell’istogramma marginale quando log_x=True. Traccia quindi i percorsi di posizionamento di ECDF e dell’istogramma, poi aggiungi un test di regressione che mostri che la mediana dell’istogramma è allineata ai dati sorgente, mentre ECDF rimane corretto.