Hi all,

### Reproducer

```
import ROOT
import numpy as np
x_bins = np.logspace(-1, 2, 11)
y_bins = np.linspace(-10, 10, 11)
z_bins = np.linspace(-10, 10, 11)
h = ROOT.TH3F("name", "title", 10, x_bins, 10, y_bins, 10, z_bins)
x_randoms = 100*np.random.random_sample(10000)
y_randoms = 20*np.random.random_sample(10000) - 10
z_randoms = 20*np.random.random_sample(10000) - 10
for x,y,z in zip(x_randoms, y_randoms, z_randoms):
h.Fill(x,y,z)
c = ROOT.TCanvas()
h.Draw("BOX2")
c.Update()
input("Press any key and see that content does not adjusts properly to the log scale!")
c.SetLogx(True)
c.Modified()
c.Update()
input("Done...")
```

### Output

### Expected output

The content of 3D bins should adjust to the logarithmic scaling of the axis, alike when using `TH1F`

or `TH2F`

, but it does not.

The second plot is wrong.

The last x bin is from 50 to 100. Switching to the log scale changes only the labels, while the content assuming the linear scale is still drawn…

### Environment

```
source /cvmfs/sft-nightlies.cern.ch/lcg/views/dev3/Mon/x86_64-centos7-gcc11-dbg/setup.sh
ROOT Version: 6.30/06
Built for linuxx8664gcc on Apr 09 2024, 22:46:31
From heads/master@tags/v6-30-06
Python 3.9.12
```