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.

首先运行 issue 中的最小 px.ecdf 示例，并检查 log_x=True 时边际直方图的处理方式。跟踪 ECDF 和直方图的放置路径，然后添加一个回归测试，验证直方图的中位数与源数据对齐，同时 ECDF 保持正确。