Missleading warning in query "buckets()"

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### Specifications

* Client Version: v2.6.1
* InfluxDB Version: 'X-Influxdb-Build': 'OSS', 'X-Influxdb-Version': 'v2.6.1'
* Platform: Ubuntu 22.04.2 LTS, Python 3.10.6

1. Create a client to a local influx server.
2. Query the buckets

the last step prints a warning messages that provides a non-working solution. The solution does not apply to the returned table.

### Code sample to reproduce problem

```python
>>> from influxdb_client import InfluxDBClient
>>> c = InfluxDBClient(url="http://localhost:8086", org=..., token=...);
>>> r_api = c.query_api()
>>> r_api.query_data_frame(query='buckets()')
/home/juanpi/virtual_enviroments/wabesense-data/lib/python3.10/site-packages/influxdb_client/client/warnings.py:31: MissingPivotFunction: The query doesn't contains the pivot() function.

The result will not be shaped to optimal processing by pandas.DataFrame. Use the pivot() function by:

buckets() |> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")

You can disable this warning by:
import warnings
from influxdb_client.client.warnings import MissingPivotFunction

warnings.simplefilter("ignore", MissingPivotFunction)

For more info see:
- https://docs.influxdata.com/resources/videos/pivots-in-flux/
- https://docs.influxdata.com/flux/latest/stdlib/universe/pivot/
- https://docs.influxdata.com/flux/latest/stdlib/influxdata/influxdb/schema/fieldsascols/

warnings.warn(message, MissingPivotFunction)
result table name id organizationID retentionPolicy retentionPeriod
0 _result 0 _monitoring 9ff20ba199aff20d 1f4f3678a832d418 None 604800000000000
1 _result 0 _tasks 7de84af1deb77ca4 1f4f3678a832d418 None 259200000000000
2 _result 0 scratch c7902563eb5f9007 1f4f3678a832d418 None 604800000000000
```

### Expected behavior

Either the suggested solution should be correct, or no warning should be emitted.

### Actual behavior

A solution is provided that does not apply to the returned table.

### Additional info

_No response_

Reproduisez l’avertissement avec InfluxDBClient.query_api().query_data_frame(query='buckets()') à l’aide de l’exemple et examinez le comportement de l’avertissement autour de ce point d’entrée. C’est terminé lorsque l’avertissement est supprimé pour ce résultat ou que la requête suggérée produit une forme de résultat valide ; vérifiez la modification avec la table buckets affichée.

Rédigé par le modèle d'indexation à partir du texte de l'issue.