Different query result to DataExplorer

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* Client Version: 1.37.0
* InfluxDB Version: v2.7.1
* Platform: Windows10

Query:
```python
from(bucket:"rust")
|> range(start: 2023-07-28T04:22:00Z, stop: 2023-07-28T04:25:00Z)
|> filter(fn: (r) => r["_measurement"] == "market_snapshot")
|> filter(fn: (r) => r["ticker"] == "TEST1" or r["ticker"] == "TEST2")
|> pivot(rowKey: ["_time"], columnKey: ["_field"], valueColumn: "_value")
|> keep(columns: ["_time", "ticker", "bid", "bidq", "ask", "askq", "volume"])
|> group()
```

Expected Behavior:
Query results are sorted based on _time

Actual behavior:
Query results are stacked based on ticker (tag)

result table _time ticker ask askq bid bidq volume
0 _result 0 2023-07-28 04:22:00.027463+00:00 TEST1 34275.0 9693 34265.0 696 0
1 _result 0 2023-07-28 04:22:00.229166+00:00 TEST1 34270.0 246 34265.0 696 0
2 _result 0 2023-07-28 04:22:00.370787+00:00 TEST1 34270.0 246 34265.0 1007 0
3 _result 0 2023-07-28 04:22:01.023661+00:00 TEST1 34270.0 247 34265.0 1007 0
4 _result 0 2023-07-28 04:22:01.083292+00:00 TEST1 34270.0 247 34265.0 1007 20
.. ... ... ... ... ... ... ... ... ...
809 _result 0 2023-07-28 04:24:56.852404+00:00 TEST2 34320.0 10122 34300.0 4355 0
810 _result 0 2023-07-28 04:24:57.046504+00:00 TEST2 34315.0 34 34300.0 4355 0
811 _result 0 2023-07-28 04:24:59.049960+00:00 TEST2 34315.0 72 34300.0 4355 0
812 _result 0 2023-07-28 04:24:59.405875+00:00 TEST2 34315.0 34 34300.0 4355 0
813 _result 0 2023-07-28 04:24:59.882963+00:00 TEST2 34315.0 9784 34300.0 100 0

After sorting

0 _result 0 2023-07-28 04:22:00.027463+00:00 TEST1 34275.0 9693 34265.0 696 0
1 _result 0 2023-07-28 04:22:00.229166+00:00 TEST1 34270.0 246 34265.0 696 0
2 _result 0 2023-07-28 04:22:00.370787+00:00 TEST1 34270.0 246 34265.0 1007 0
552 _result 0 2023-07-28 04:22:00.378335+00:00 TEST2 34320.0 10065 34300.0 4058 0
553 _result 0 2023-07-28 04:22:00.431953+00:00 TEST2 34320.0 10065 34300.0 4058 39
.. ... ... ... ... ... ... ... ... ...
549 _result 0 2023-07-28 04:24:59.393780+00:00 TEST1 34270.0 1148 34260.0 2108 1
550 _result 0 2023-07-28 04:24:59.399117+00:00 TEST1 34270.0 1962 34260.0 1307 0
812 _result 0 2023-07-28 04:24:59.405875+00:00 TEST2 34315.0 34 34300.0 4355 0
551 _result 0 2023-07-28 04:24:59.875531+00:00 TEST1 34270.0 9126 34260.0 825 0
813 _result 0 2023-07-28 04:24:59.882963+00:00 TEST2 34315.0 9784 34300.0 100 0

Reproduisez la requête du client Python contre InfluxDB v2.7.1 en utilisant les filtres de bucket, de plage temporelle, de measurement et de ticker fournis. Comparez les lignes renvoyées avec la sortie triée affichée ; le travail est terminé lorsque les résultats pour TEST1 et TEST2 sont ordonnés par _time plutôt que regroupés par ticker.

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