query_data_frame returns a list of data frames

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### Specifications

* Client Version: 1.36.1
* InfluxDB Version: 2.71
* Platform: Linux

### Code sample to reproduce problem

Push a series of data and get it back via API query
```
for i in range(0,600000):
temperatura += 1
point = (
Point("Postazione1")
.tag("TipoTest", 1)
.field("Temperatura", temperatura))
DBresponse = write_api.write(bucket=bucket, org=config.influx_org, record=point)
time.sleep(.01)
```
Then get back the data with API AND THE QUERY BELOW
```
from(bucket: “Bed1”)
|> range(start: 2023-06-22T14:10:36.106Z, stop: 2023-06-22T14:29:12.154Z)
|> filter(fn: (r) => r[“_measurement”] == “Postazione1”)
|> filter(fn: (r) => r[“TipoTest”] == “1”)
|> filter(fn: (r) => r[“_field”] == “Temperatura”)
|> aggregateWindow(every: 1s, fn: mean, createEmpty: false)
|> yield(name: “mean”)
|> pivot(rowKey:[“_time”], columnKey: [“_field”], valueColumn: “_value”)
|> keep(columns:[“_time”, “Temperatura”])

client = InfluxDBClient(url=influx_url, token=influx_token, org=influx_org, debug=False)
df = client.query_api().query_data_frame(org=influx_org, query=query)
```

For some reason, `df` is a list of, in my case, 2 data frames so I can access `df[0]` and `df[1]`

Why I got 2 data frames and not one?

### Expected behavior

Return a single data frame with all the data from my measure

### Actual behavior

Return two data frames

### Additional info

_No response_

Start at query_api().query_data_frame and reproduce the supplied Flux query with the provided Python client example. Compare the returned list of data frames with the expected single data frame and determine what behavior the query produces.

Written by the indexing model from the issue text.