pygmt.select: Wrong column names of pandas.DataFrame when incols parameter is used

### Description of the problem

The column names of the `pandas.Dataframe` created by `pygmt.select` are wrong, when the `incols` parameter is used. The order of the columns itself is correctly changed, but the order of the column names remains as is.

### Minimal Complete Verifiable Example

```python
import pygmt

ship_data = pygmt.datasets.load_sample_data(name="bathymetry")
ship_data.head(10)
"""
longitude latitude bathymetry
0 245.00891 27.49555 -636.0
1 245.01201 27.49286 -655.0
2 245.01512 27.49016 -710.0
3 245.01822 27.48746 -695.0
4 245.02443 27.48206 -747.0
5 245.03374 27.47397 -747.0
6 245.03684 27.47127 -702.0
7 245.03994 27.46857 -700.0
8 245.04305 27.46587 -648.0
9 245.04615 27.46317 -647.0
"""

ship_data_resort = ship_data[["bathymetry", "latitude", "longitude"]]
ship_data_resort.head(10)
"""
bathymetry latitude longitude
0 -636.0 27.49555 245.00891
1 -655.0 27.49286 245.01201
2 -710.0 27.49016 245.01512
3 -695.0 27.48746 245.01822
4 -747.0 27.48206 245.02443
5 -747.0 27.47397 245.03374
6 -702.0 27.47127 245.03684
7 -700.0 27.46857 245.03994
8 -648.0 27.46587 245.04305
9 -647.0 27.46317 245.04615
"""

ship_data_filted = pygmt.select(
data=ship_data_resort, # bathy, lat, lon
region=[246, 247, 20, 21], # filter based on region
incols=[2, 1, 0], # lon, lat, bathy
)
ship_data_filted.head(10)
"""
bathymetry latitude longitude
0 246.75398 20.99297 -3675
1 246.75707 20.98365 -3668
2 246.76016 20.97434 -3683
3 246.76326 20.96503 -3707
4 246.76635 20.95572 -3707
5 246.76944 20.94641 -3679
6 246.77254 20.93710 -3677
7 246.77563 20.92779 -3653
8 246.77872 20.91848 -3653
9 246.78182 20.90916 -3629
"""
# -> column names of DataFrame are not resorted
```

### Full error message

```python-traceback
No error or warning message occurs.

Wrong column names of the `pandas.DataFrame` created by `pygmt.select` (in combination with the `incols` parameter).
```

### System information

```bash
PyGMT information:
version: v0.8.1.dev72
System information:
python: 3.11.0 | packaged by conda-forge | (main, Oct 25 2022, 06:12:32) [MSC v.1929 64 bit (AMD64)]
executable: C:\ProgramData\Anaconda3\envs\pygmt_env_dev\python.exe
machine: Windows-10-10.0.19045-SP0
Dependency information:
numpy: 1.24.1
pandas: 1.5.3
xarray: 2023.1.1.dev17
netCDF4: 1.6.2
packaging: 22.0
contextily: 1.3.0
geopandas: 0.12.2
ghostscript: 9.54.0
GMT library information:
binary version: 6.4.0
cores: 4
grid layout: rows
library path: C:/ProgramData/Anaconda3/envs/pygmt_env_dev/Library/bin/gmt.dll
padding: 2
plugin dir: C:/ProgramData/Anaconda3/envs/pygmt_env_dev/Library/bin/gmt_plugins
share dir: C:/Program Files (x86)/gmt6/share
version: 6.4.0
```